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CEO Eric Schmidt says that big corporations will change their IT models, but it may take 10 to 20 years.

This week the conversation is all around the cloud computing and how today’s modern architecture continues to evolve. Christian, Ashton, and Jim talk about the ways cloud computing is being adopted in the enterprise and discuss the security and scalability implications of government agencies trusting their data to a third party cloud infrastructure. While we are still cloudy on a few matters ourselves, this episode promises to be a noteworthy discussion on where the next generation of cloud computing is headed. Cyber Frontiers is all about Exploring Cyber security, Big Data, and the Technologies Shaping the Future Through an Academic Perspective!   Christian Johnson, a student at the University of Maryland will bring fresh and relevant topics to the show based on the current work he does. Support the Average Guy Tech Scholarship Fund:  http://theAverageGuy.tv/amazon WANT TO SUBSCRIBE?  We now have Video Large / Small and Video  iTunes  options at  http://theAverageGuy.tv/subscribe You can contact us via email at [email protected] or call in your questions or comments to be played on the show at (402) 478-8450

This week the conversation is all around the cloud computing and how today’s modern architecture continues to evolve. Christian, Ashton, and Jim talk about the ways cloud computing is being adopted in the enterprise and discuss the security and scalability implications of government agencies trusting their data to a third party cloud infrastructure. While we are still cloudy on a few matters ourselves, this episode promises to be a noteworthy discussion on where the next generation of cloud computing is headed. Cyber Frontiers is all about Exploring Cyber security, Big Data, and the Technologies Shaping the Future Through an Academic Perspective!   Christian Johnson, a student at the University of Maryland will bring fresh and relevant topics to the show based on the current work he does. Support the Average Guy Tech Scholarship Fund:  http://theAverageGuy.tv/amazon WANT TO SUBSCRIBE?  We now have Video Large / Small and Video  iTunes  options at  http://theAverageGuy.tv/subscribe You can contact us via email at [email protected] or call in your questions or comments to be played on the show at (402) 478-8450

This week the conversation is all around the cloud computing and how today’s modern architecture continues to evolve. Christian, Ashton, and Jim talk about the ways cloud computing is being adopted in the enterprise and discuss the security and scalability implications of government agencies trusting their data to a third party cloud infrastructure. While we are still cloudy on a few matters ourselves, this episode promises to be a noteworthy discussion on where the next generation of cloud computing is headed. Cyber Frontiers is all about Exploring Cyber security, Big Data, and the Technologies Shaping the Future Through an Academic Perspective!   Christian Johnson, a student at the University of Maryland will bring fresh and relevant topics to the show based on the current work he does. Support the Average Guy Tech Scholarship Fund:  http://theAverageGuy.tv/amazon WANT TO SUBSCRIBE?  We now have Video Large / Small and Video  iTunes  options at  http://theAverageGuy.tv/subscribe You can contact us via email at [email protected] or call in your questions or comments to be played on the show at (402) 478-8450

¡Ni los calculos binarios remotos podrán ayudarlos!¡Porque es martes y SpreadShotNews ya llegó! En este episodio: Nico juega a leer tutoriales para la Global Game Jam, mientras Maxi continua con el Tales of Vesperia: Definitive Edition y se va a volar por los cielos en el Ace Combat 7: Skies Unknown. En el Rapid-Fire tenemos noticias sobre Mortal Kombat 11, Trials Rising, Halo: The Master Chief Collection y mas. Para el Hot Coffee, charlamos un poco sobre sobre una encuesta realizada por los organizadores de la GDC sobre si Valve se esta ganando el derecho de cobrar el 30% de cada venta en su store. Para finalizar, en el Special Move, Maxi nos recomienda una  entrevista a Toshihiro Nagoshi (el padre de los Yakuza, entre otras cosas) por su 30 aniversario en SEGA . Nico por su lado nos recomienda  el recital de Frank Klepacki and the Tiberian Sons  que dieron en MAGFest 2019. Por ultimo, recuerden que ahora nos pueden escribir preguntas directamente a traves de google forms en el siguiente link:  https://goo.gl/forms/sLLtI29yk2Qw2zFB2  

¡Ni los calculos binarios remotos podrán ayudarlos!¡Porque es martes y SpreadShotNews ya llegó! En este episodio: Nico juega a leer tutoriales para la Global Game Jam, mientras Maxi continua con el Tales of Vesperia: Definitive Edition y se va a volar por los cielos en el Ace Combat 7: Skies Unknown. En el Rapid-Fire tenemos noticias sobre Mortal Kombat 11, Trials Rising, Halo: The Master Chief Collection y mas. Para el Hot Coffee, charlamos un poco sobre sobre una encuesta realizada por los organizadores de la GDC sobre si Valve se esta ganando el derecho de cobrar el 30% de cada venta en su store. Para finalizar, en el Special Move, Maxi nos recomienda una  entrevista a Toshihiro Nagoshi (el padre de los Yakuza, entre otras cosas) por su 30 aniversario en SEGA . Nico por su lado nos recomienda  el recital de Frank Klepacki and the Tiberian Sons  que dieron en MAGFest 2019. Por ultimo, recuerden que ahora nos pueden escribir preguntas directamente a traves de google forms en el siguiente link:  https://goo.gl/forms/sLLtI29yk2Qw2zFB2  

In conventional method, distributed support vector machines (SVM) algorithms are trained over pre-configured intranet/internet environments to find out an optimal classifier. These methods are very complicated and costly for large datasets. Hence, we propose a method that is referred as the Cloud SVM training mechanism (CloudSVM) in a cloud computing environment with MapReduce technique for distributed machine learning applications. Accordingly, (i) SVM algorithm is trained in distributed cloud storage servers that work concurrently; (ii) merge all support vectors in every trained cloud node; and (iii) iterate these two steps until the SVM converges to the optimal classifier function. Large scale data sets are not possible to train using SVM algorithm on a single computer. The results of this study are important for training of large scale data sets for machine learning applications. We provided that iterative training of splitted data set in cloud computing environment using SVM will converge to a global optimal classifier in finite iteration size.

Scientific computing applications usually need huge amounts of computational power. The cloud provides interesting high-performance computing solutions, with its promise of virtually infinite resources on demand. However, migrating scientific computing problems to clouds and the re-creation of software environment on the vendor-supplied OS and cloud instances is often a laborious task. It is also assumed that the scientist who is performing the experiments has significant knowledge of computer science, cloud computing and the migration procedure, which is often not true. Considering these obstacles, we have designed a tool suite that migrates the complete software environment directly to the cloud. The developed desktop-to-cloud-migration (D2CM) tool supports transformation and migration of virtual machine images, reusable deployment description and life-cycle management for applications to be hosted on Amazon Cloud or compatible infrastructure such as Eucalyptus. The paper also presents an electrochemical case study and computational experiments targeted at designing modern supercapacitors. These experiments have extensively used the tool in drawing domain specific results. Detailed analysis of the case showed that D2CM tool not only simplifies the migration procedure for the scientists, but also helps them in optimizing the calculations and compute clusters, by providing them a new dimension -- cost-to-value of computational experiments.

Mobile cloud computing enables the offloading of computationally heavy applications, such as for gaming, object recognition or video processing, from mobile users (MUs) to cloudlet or cloud servers, which are connected to wireless access points, either directly or through finite-capacity backhaul links. In this paper, the design of a mobile cloud computing system is investigated by proposing the joint optimization of computing and communication resources with the aim of minimizing the energy required for offloading across all MUs under latency constraints at the application layer. The proposed design accounts for multiantenna uplink and downlink interfering transmissions, with or without cooperation on the downlink, along with the allocation of backhaul and computational resources and user selection. The resulting design optimization problems are nonconvex, and stationary solutions are computed by means of successive convex approximation (SCA) techniques. Numerical results illustrate the advantages in terms of energy-latency trade-off of the joint optimization of computing and communication resources, as well as the impact of system parameters, such as backhaul capacity, and of the network architecture.

Highly-parallel graphics processing units (GPUs) can improve the speed of micromagnetic simulations significantly as compared to conventional computing using central processing units (CPUs). We present a strategy for performing GPU-accelerated micromagnetic simulations by utilizing cost-effective GPU access offered by cloud computing services with an open-source Python-based program for running the MuMax3 micromagnetics code remotely. We analyze the scaling and cost benefits of using cloud computing for micromagnetics.

Computer hardware costs are the limiting factor in producing highly accurate radiation dose calculations on convenient time scales. Because of this, large-scale, full Monte Carlo simulations and other resource intensive algorithms are often considered infeasible for clinical settings. The emerging cloud computing paradigm promises to fundamentally alter the economics of such calculations by providing relatively cheap, on-demand, pay-as-you-go computing resources over the Internet. We believe that cloud computing will usher in a new era, in which very large scale calculations will be routinely performed by clinics and researchers using cloud-based resources. In this research, several proof-of-concept radiation therapy calculations were successfully performed on a cloud-based virtual Monte Carlo cluster. Performance evaluations were made of a distributed processing framework developed specifically for this project. The expected 1/n performance was observed with some caveats. The economics of cloud-based virtual computing clusters versus traditional in-house hardware is also discussed. For most situations, cloud computing can provide a substantial cost savings for distributed calculations.

Computer hardware costs are the limiting factor in producing highly accurate radiation dose calculations on convenient time scales. Because of this, large-scale, full Monte Carlo simulations and other resource intensive algorithms are often considered infeasible for clinical settings. The emerging cloud computing paradigm promises to fundamentally alter the economics of such calculations by providing relatively cheap, on-demand, pay-as-you-go computing resources over the Internet. We believe that cloud computing will usher in a new era, in which very large scale calculations will be routinely performed by clinics and researchers using cloud-based resources. In this research, several proof-of-concept radiation therapy calculations were successfully performed on a cloud-based virtual Monte Carlo cluster. Performance evaluations were made of a distributed processing framework developed specifically for this project. The expected 1/n performance was observed with some caveats. The economics of cloud-based virtual computing clusters versus traditional in-house hardware is also discussed. For most situations, cloud computing can provide a substantial cost savings for distributed calculations.

Maturing virtualization in information technology systems has enabled increased implementations of the cloud com-puting paradigm, dissolving the need to co-locate user and computing power by providing desired services through the network. This thesis researches the support that current network modeling and simulation applications can provide to IT projects in planning, implementing and maintaining networks for cloud solutions. A problem-appropriate do-main model and subsequent requirements are developed for the assessment of several network modeling and simula-tion tools, which leads to the identification of a capability gap precluding the use of such tools in early stages of cloud computing projects. Consequently, a practical, modular designed methodology is proposed to measure the essential properties necessary for developing appropriate cloud computing network traffic models. The conducted proof-of-concept experiment applied to a virtual desktop environment finds the proposed methodology suitable and problem-appropriate, and results in recommended steps to close the identified capability gap.

Pakistan’s proximity to the Strait of Hormuz, through which millions of barrels of oil is shipped per day, makes it a gateway to Central Asian countries. The Pakistan coastline stretches to almost 1,000 kilometers and has an exclusive economic zone of 290,000 km2. As a flag bearer of protecting the country’s sea lines of communication and safeguarding its maritime territories, the Pakistan Navy is in the continuous process of modernization. Although a robust command and control structure exists for the accomplishment of peacetime and wartime objectives, there is still a need to adopt up-to-date procedures that can ensure the two-way exchange of information in near real-time and provide access to information from anywhere around the globe. This thesis explores the peculiarities of cloud computing and its potential utility to the Pakistan Navy. After an in-depth analysis of the country’s information technology environment, the scope and utility of cloud computing in the country, and the U.S. Department of Defense, the U.S. Navy, and the National Institute of Standards and Technology cloud architectures, a framework has been laid out for adopting cloud computing in the Pakistan Navy.

Cloud computing is an emerging economical approach that allows businesses to move beyond creating their own IT teams towards outsourcing their applications, systems, including infrastructure requirements. Cloud technology was already emerged as a framework in addition to the fifth infrastructure services, after water, energy, fuel, and telecommunications. Moreover, the IT sector is undergoing a fundamental transition. Earlier, businesses would maintain existing operations by purchasing IT equipment, but then they are implementing technology on top of that architecture. Cloud computing is a paradigm wherein IT technology is rented as well as utilized as needed by the organization. This paper describes a comprehensive investigation of data confidentiality approaches in cloud technology, their limitations as well as various strategies for overcoming them.

An emerging requirement for 5G systems is the ability to provide wireless ultra-reliable communication (URC) services with close-to-full availability for cloud-based applications. Among such applications, a prominent role is expected to be played by mobile cloud computing (MCC), that is, by the offloading of computationally intensive tasks from mobile devices to the cloud. MCC allows battery-limited devices to run sophisticated applications, such as for gaming or for the "tactile" internet. This paper proposes to apply the framework of reliable service composition to the problem of optimal task offloading in MCC over fading channels, with the aim of providing layered, or composable, services at differentiated reliability levels. Inter-layer optimization problems, encompassing offloading decisions and communication resources, are formulated and addressed by means of successive convex approximation methods. The numerical results demonstrate the energy savings that can be obtained by a joint allocation of computing and communication resources, as well as the advantages of layered coding at the physical layer and the impact of channel conditions on the offloading decisions.

This project Online Corporate Job Recruiting process is an online website in which jobseekers can register themselves in online and apply for job. The HR of the companies as well as the employees working in the companies can also register in this website. Online corporate job recruiting process provides online help to the users all over the world. This website also make it possible for recruiters and companies to post their staffing requirements and view profiles of interested candidates.  Not only the companies, but also the employees those who are working in the corporate companies can also host the details about the recruitment process that takes place in their companies. This project is aimed at developing a web-based and central recruitment Process system for the HR Group for a company. After registering in this website the candidates will get a pop-up notification about the recruitments.  The additional characteristics of this project is that if a seeking job candidate registered in this website and if their college name is similarly equal to the college name of the registered employees, then they will get a mail immediately by saying that your college mate is seeking job kindly help them. So by this the job seekers can easily get a job.  BY Mrs. S. Shanmugapriya | Mr. Manikandan | S. Karpaga Meenakshi "A Survey On Online Corporate Job Recruiting Process Using Cloud Computing"  Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Active Galaxy , June 2018,  URL: http://www.ijtsrd.com/papers/ijtsrd14561.pdf

Now in the age of information and communication technology Cloud Computing is the most popular technology used to deliver the library services in the effective manner. Various types of technologies like Web 2.0, utility computing, grid computing etc are included in the Cloud Computing. Libraries are able to give their services promptly with the help of Cloud Computing technology. Now libraries using Cloud Computing technology to attract their users. Due to explosion of information, problems in accessing the information, need of cloud computing is increasing day by day. Vichare Dattatray. T "Cloud Computing in Academic Libraries: A Review" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Fostering Innovation, Integration and Inclusion Through Interdisciplinary Practices in Management , March 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23101.pdf

SaaS, Web Services, virtualization: now the cloud. There's hardly a need to buy servers and rack mount 'em anymore. (Feeling nostalgic?) With Simon Carruthers and William Fellows from The 451 Group and Antonio Piraino from Tier1 Research, let's discuss: * How has the definition of cloud computing changed? (and what's a CloudCamp?) * How do Amazon, Google and other offers compare? Who is at the leading edge? * What is the most popular use of cloud services? * How are private and public clouds different?

Cloud computing is an emerging computing technology that maintains computational resources on large data centers and accessed through internet, rather than on local computers. VM migration provides the capability to balance the load, system maintenance, etc. Virtualization technology gives power to cloud computing. The virtual machine migration techniques can be divided into two categories that is pre copy and post copy approach. The process to move running applications or VMs from one physical machine to another is known as VM migration. In migration process the processor state, storage, memory and network connection are moved from one host to another.. Two important performance metrics are downtime and total migration time that the users care about most, because these metrics deals with service degradation and the time during which the service is unavailable. This paper focus on the analysis of live VM migration Techniques in cloud computing. Khushbu Singh Chandel | Dr. Avinash Sharma "Virtual Machine Migration and Allocation in Cloud Computing: A Review" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-1 , December 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29556.pdfPaper URL: https://www.ijtsrd.com/computer-science/computer-network/29556/virtual-machine-migration-and-allocation-in-cloud-computing-a-review/khushbu-singh-chandel

loud computing nowadays, In IT trade has become unsecure. Its impact on various business application is threat for our organization. Multiple options that create cloud computing enticing have simply defiance the prevailing security system however, they uncover new security problems. This paper provides an information about challenges and issues that we face while using cloud software’s or applications. Vikas Kumar | Ms. Deepali Shahane "Security Issues on SAAS Model of Cloud Computing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-6 , October 2020, URL: https://www.ijtsrd.com/papers/ijtsrd33379.pdf Paper Url: https://www.ijtsrd.com/computer-science/other/33379/security-issues-on-saas-model-of-cloud-computing/vikas-kumar

As the popularity of cloud computing is increasing, mobile devices at any time can store or retrieve personal information from anywhere. As a result, the issue of data protection in the mobile cloud is becoming increasingly severe and prevents more mobile cloud computing. There are important studies that have been carried out to strengthen the protection of the cloud. Most of them, however, are not applicable to mobile clouds, as mobile devices have restricted computing resources and power. In this paper, I propose a lightweight data sharing scheme LDSS for mobile cloud computing. It uses CP ABE Cipher text Policy Attribute Based Encryption , an access control technology used in basic cloud atmosphere, but changes the structure of access control tree to make it suitable for mobile cloud environments. LDSS moves a large portion of the computational rigorous access control tree transformation in CP ABE Cipher text Policy Attribute Based Encryption from mobile devices to external proxy servers. Also, to reduce the user revocation cost, it introduces attribute description fields to implement lazy revocation, which is a pointed issue in program based CP ABE Cipher text Policy Attribute Based Encryption systems. The trial results show that LDSS can effectively lower the overhead on the mobile device side when users are sharing information in mobile cloud environments. Abhishek. D | Dr. Lakshmi J. V. N "An Efficient and Safe Data Sharing Scheme for Mobile Cloud Computing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd35909.pdf Paper URL : https://www.ijtsrd.com/computer-science/computer-security/35909/an-efficient-and-safe-data-sharing-scheme-for-mobile-cloud-computing/abhishek-d

As the popularity of cloud computing is increasing, mobile devices at any time can store or retrieve personal information from anywhere. As a result, the issue of data protection in the mobile cloud is becoming increasingly severe and prevents more mobile cloud computing. There are important studies that have been carried out to strengthen the protection of the cloud. Most of them, however, are not applicable to mobile clouds, as mobile devices have restricted computing resources and power. In this paper, I propose a lightweight data sharing scheme LDSS for mobile cloud computing. It uses CP ABE Cipher text Policy Attribute Based Encryption , an access control technology used in basic cloud atmosphere, but changes the structure of access control tree to make it suitable for mobile cloud environments. LDSS moves a large portion of the computational rigorous access control tree transformation in CP ABE Cipher text Policy Attribute Based Encryption from mobile devices to external proxy servers. Also, to reduce the user revocation cost, it introduces attribute description fields to implement lazy revocation, which is a pointed issue in program based CP ABE Cipher text Policy Attribute Based Encryption systems. The trial results show that LDSS can effectively lower the overhead on the mobile device side when users are sharing information in mobile cloud environments. Abhishek. D | Dr. Lakshmi J. V. N "An Efficient and Safe Data Sharing Scheme for Mobile Cloud Computing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd35909.pdf Paper URL : https://www.ijtsrd.com/computer-science/computer-security/35909/an-efficient-and-safe-data-sharing-scheme-for-mobile-cloud-computing/abhishek-d

This talk will present an emotion sensor on Windows phones named ‘Listen-n-Feel’, which listens to the phone user’s speech and tells whether the user is happy or sad, based on audio signal features. This phone application can be widely used in social networks, integrated in character-playing games, or used to monitor patients with mental problems or other health care area. Recorded audio data is processed on the cloud and signal features are extracted, both in the time domain and frequency domain. Machine learning method is applied to predict emotions on statistics of speech signal features, with the training data derived from a prosody database. The emotion detection application will also be demoed on the presentation. ©2011 Microsoft Corporation. All rights reserved.

Cloud Storage is a branch of Cloud Computing, which plays an important role in IT world. Cloud providers are providing a huge volume of storage space as per the user needs. Due to wide usage of this, it also increases data security issues and threats. Hence efforts are being made to encrypt the data stored in the cloud. In this paper, we are going to look at different encryption and auditing techniques that are used to avoid data breaching in cloud storage. Nikhil Sreenivasan ""Data Storage Issues in Cloud Computing"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2 , February 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30194.pdf Paper Url : https://www.ijtsrd.com/computer-science/computer-network/30194/data-storage-issues-in-cloud-computing/nikhil-sreenivasan

Typically an IDS refers to a software application that monitors a network for intrusion or malicious activity. It signals an alarm once an intrusion is detected. In this paper, an IDS based on Distributed Machine Learning that detects phishing attacks and issues an alarm when the intrusion is detected has been discussed. This is done by using SVM as the base algorithm. More on why SVM is used and how the IDS can be applied to detect other types of intrusion has been discussed. 

According to practitioners' opinion, any business can witness extensive benefits from using cloud-based solutions. The intuitive design, the possibility to access real-time information and several other advanced features make accounting accessible for both experts (accountants) and non-experts (small business owners). The study has made an attempt to find out the benefits and issues of cloud accounting on accounting and decision making abilities of the firms. The paper is a qualitative research, based upon the most relevant literature on this topic. The literature on this subject is mainly built on practitioners' studies and handbooks, surveys conducted by specialized research companies or by cloud service developers. The benefits are more in compared to the issues involved in using cloud based accounting system. This paper focuses on the impact of cloud accounting on each actor in the entire business area. Mr. Abhijit Mohanty | Dr. Ajit Kumar Mishra"Benefits and Issues of Cloud Computing in Accounting " Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-6 , October 2017, URL: http://www.ijtsrd.com/papers/ijtsrd2507.pdf Article URL: http://www.ijtsrd.com/management/accounting-and-finance/2507/benefits-and-issues-of-cloud-computing-in-accounting-/mr-abhijit-mohanty

While I was at IBM Pulse this year, I had the chance to sit down with Lauren States who's title describes what she does quiet well: Vice President Cloud Computing for IBM's Software Group.In this brief discussion, we cover several topics:Pulse 2009 cloud related product and consulting announcementsDoes Conway's Law apply to cloud setups?Mixing public and private clouds - one us it for spilling over peak workload to public clouds - use often begins with testing and QA and spreads closer to production deployments.The decision process Lauren has seen companies go through around public vs. private clouds.What types of applications - or "work-loads," even - has Lauren seen running on clouds? This gets us into some interesting talk of how verticals might driving cloud use with more tailored, SaaS-delivered applications.Cloud computing might drive simplification, standardization, and maybe just "good enough."Tailoring the operations vs. the user interfaces for cloud computing - a little more complex for ops people, but much simpler for users.The cost savings angle - internal IBM folks used cloud technology to bring costs down 83%.Disclosure: IBM is a client and sponsored this video.

Cloud computing is next generation computer technology to the world wide wed. This paper describes comparative study on Microsoft  Cloud and  Amazone cloud .  This paper  explains  providers  storages of data,services to the client for  enhancement of data,requirement of specification to use cloud technology and database support's to the client useage.

Green computing is characterized as the examination and practice of structuring, assembling, utilizing, and discarding PCs, servers, and related subsystems, for example, screens, printers, storage gadgets, and systems administration and interchanges frameworks proficiently and successfully with negligible or no effect on the earth. The objective of green computing is to diminish the utilization of hazardous materials, amplify energy proficiency during the items lifetime, and advance the recyclability of obsolete items and factory waste. Green computing can be accomplished by either Product Longevity Resource distribution or Virtualization or Power management. power is the bottleneck of improving the system execution. Among all industries, the information communication technology ICT industry is seemingly answerable for a bigger segment of the overall development in energy utilization. The objective of green cloud computing is to advance the recyclability or biodegradability of outdated items and factory waste by diminishing the utilization of hazardous materials and amplifying the energy productivity during the items lifetime. Stephen Fernandes "Energy Saving by Migrating Virtual Machine to Green Cloud Computing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30422.pdf Paper Url :https://www.ijtsrd.com/computer-science/distributed-computing/30422/energy-saving-by-migrating-virtual-machine-to-green-cloud-computing/stephen-fernandes

Risky Business podcast features news and in-depth commentary from security industry luminaries. Hosted by award-winning journalist Patrick Gray, Risky Business has become a must-listen digest for information security professionals. On this week's show we're having an extended chat with our good mate Greg Shipley. Greg's best known as the CTO of Chicago-based information security consultancy Neohapsis, and he'll be joining us to talk about what was on the agenda at the RSA conference. Apparently it's cloud, cloud, cloud... but what does that actually mean, mean, mean? Greg will be along soon to discuss, he's always good. There will be no sponsor interview this week -- the team at Check Point are snowed under at the moment so we just didn't get an interview organised, but that's cool, because it leaves more time for me and Greg to talk about stuff. Adam Boileau joins us for the news this week.

Risky Business podcast features news and in-depth commentary from security industry luminaries. Hosted by award-winning journalist Patrick Gray, Risky Business has become a must-listen digest for information security professionals. On this week's show we're having an extended chat with our good mate Greg Shipley. Greg's best known as the CTO of Chicago-based information security consultancy Neohapsis, and he'll be joining us to talk about what was on the agenda at the RSA conference. Apparently it's cloud, cloud, cloud... but what does that actually mean, mean, mean? Greg will be along soon to discuss, he's always good. There will be no sponsor interview this week -- the team at Check Point are snowed under at the moment so we just didn't get an interview organised, but that's cool, because it leaves more time for me and Greg to talk about stuff. Adam Boileau joins us for the news this week.

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Computer technology is not one-size fits all. Do you know what computer hardware is best for your business? Hear experts explain how cloud computing is rapidly transforming the way companies do business; from collaboration tools to accounting systems and point of sale platforms. New cloud-based tools are making it easier to access information from anywhere, at any time.

Recording from the DCIA's Cloud Computing Conference at NAB 2012. More details at dcia.info/activities/ccc-nab2012/

Tri 1 2019/2020

Breast thermography is a promising medical imaging technique for the detection of breast cancer. However, providing a robust and portable computer-aided diagnostic system for breast thermography remains a tedious task. In this paper, a computer-aided diagnostic system based on breast thermography is developed and implemented on a Raspberry Pi 4 using the cloud computing services to provide the computing power needed for machine learning algorithms. Image processing techniques such as preprocessing and segmentation are employed to achieve an adequate feature extraction task. The support vector machine classifier is used in the final stage to classify the breast as normal or abnormal. According to the experimental results, the proposed computer-aided diagnostic system has shown high performance in both the segmentation and classification steps. Furthermore, a low computation time was obtained when using the high computing capabilities of the cloud with the Raspberry Pi. We conclude that the implementation of such a decision support system on the Raspberry Pi especially when using the cloud computing services, can be a reliable tool for radiologists to predict breast abnormalities even in the rural backcountry where there is lack of health services. 

Information Technology (IT) plays a critical role in delivering education services to users. To assist students, professors, researchers, and administrative personnel, most education online services at universities have been run on the cloud. These are made possible by the rise of cloud computing in the IT industry. Cloud computing provides Internet-based computer services on demand. The use of cloud computing in higher education, namely tertiary institutions and universities, is discussed in this article. The difficulties of cloud computing in higher education are the subject of the article. It examines studies on adoption difficulties in higher education institutions and provides background on cloud computing. These difficulties are significant because they offer an overview of cloud adoption in higher education. To study the variables that affect users' attitudes and behaviors about utilizing The authors established an integrative references framework based on difficulties in the research and the TAM model for cloud educational solutions in schools' ICT offering.

This study focuses on the influence of cloud computing adaption on organization performance with particular reference to selected Commercial Banks in Ilala Municipality. Specifically, the study aimed to assess how cloud computing increases efficiency of bank operations, to examine the effectiveness of cloud computing on enhancing customer satisfaction and to identify the challenges and opportunities encountering Commercial Banks in adopting and using cloud computing services. A sample of 70 respondents was drawn from the study population using simple random and purposive sampling techniques. Research questionnaire was applied in data collection and the collected data were analyzed using quantitative research techniques. Frequencies and percentages were computed to establish descriptive information of the collected data. Multiple regression statistical analysis with the help of Statistical Package for Social Science (SPSS) was employed to analyse the collected data. Results revealed that cloud computing is easy to use in banking operations, it shows that cloud computing in banks is accurate in data processing whereby to improve efficiency cloud technology can bring together multiple data and operational systems and increase efficiency in bank operations. Basing on the findings the study recommends that cloud computing service providers solve the issues that hamper the adoption of cloud computing. The government should create policies on cloud computing to be taught from schools so that people become aware of cloud computing. Seminars and events should be organized so that different kinds of individuals can be educated and informed about different ideas concerning cloud computing adaptation. The study recommends for further studies that cloud computing is a rapidly emerging technology in many companies. It would be interesting to concentrate on other industries that may have a greater demand for information management and so need the usage of cloud computing.

Cloud computing is a model that provides easy and convenient access to networks everywhere. In recent years, cloud computing has emerged as a valuable technology, significantly impacting various sectors including the pharmaceutical industry. Cloud computing represents a revolutionary opportunity for pharmaceutical companies. It is transforming the pharmaceutical industry significantly. Cloud computing in the pharmaceutical industry refers to the use of remote servers on the Internet to store, manage, and process pharmaceutical data and applications. It provides Software as a Service SaaS , Infrastructure as a Service IaaS , and Platform as a Service PaaS . It offers several benefits, such as scalability, cost effectiveness, increased accessibility, and collaboration, which have made it an attractive solution for pharmaceutical companies. In this paper, we will explore the main use cases for cloud computing in pharmaceutical industry. Matthew N. O. Sadiku | Paul A. Adekunte | Janet O. Sadiku "Cloud Computing in the Pharmaceutical Industry" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-9 | Issue-1 , February 2025, URL: https://www.ijtsrd.com/papers/ijtsrd73813.pdf Paper Url: https://www.ijtsrd.com/computer-science/other/73813/cloud-computing-in-the-pharmaceutical-industry/matthew-n-o-sadiku

Double auction (DA) algorithm is widely used for trading systems in cloud computing. Distinct buyers request different attributes for virtual machines. On the other hand, different sellers offer several types of virtual machines according to their correspondence bids. In DA, getting multiple equilibrium prices from distinct cloud providers is a difficult task, and one of the major problems is bidding prices for virtual machines, so we cannot make decisions with inconsistent data. To solve this problem, we need to find the best machine learning algorithm that anticipates the bid cost for virtual machines. Analyzing the performance of DA algorithm with machine learning algorithms is to predict the bidding price for both buyers and sellers. Therefore, we have implemented several machine learning algorithms and observed their performance on the bases of accuracy, such as linear regression (83%), decision tree regressor (77%), random forest (82%), gradient boosting (81%), and support vector regressor (90%). In the end, we observed that the Artificial Neural Network (ANN) provided an astonishing result. ANN has provided 97% accuracy in predicting bidding prices in DA compared to all other learning algorithms. It reduced the wastage of resources (VMs attributes) and soared both users' profits (buyers & sellers). Different types of models were analyzed on the bases of individual parameters such as accuracy. In the end, we found that ANN is effective and valuable for bidding prices for both users.

Join this session to learn about Google Cloud's high performance computing (HPC) solutions for important workloads like computational fluid dynamics, drug discovery, financial risk analysis, and more. You will also hear exciting new announcements across infrastructure and tooling, see how Google Cloud allows the most challenging HPC workloads to run well, and learn how Google’s customers deploy their most challenging and critical HPC and AI/ML workloads on Google Cloud. Speakers: Wyatt Gorman, Annie Ma-Weaver, Sridevi Ravuri Watch more: All sessions from Google Cloud Next → https://goo.gle/next23 #GoogleCloudNext ARC217

Increased intricacy in event management has resulted in problems related to scalability, efficiency, and cost containment. This paper proposes a cloud event management framework model that focuses on operational, resource management, and event management processes. The cloud event management architecture is based on cloud computing integrated with telecommunication, Artificial Intelligence (AI), and Machine Learning (ML) for enhanced decision making through predictive analytics and dynamic control. The modular approach facilitates integration with other data processing systems and enhances operational versatility by interfacing with multiple third-party applications. Emphasis is placed on data privacy and compliance with recognized security standards which preserves and protects the information. Comparison analyses with other event management systems show significant progress in scalability, satisfaction of users, and effectiveness of business operations. This study integrates the development of artificial intelligence (AI) and cloud technology to shift the paradigm of event management from conventional to more agile technological based approaches. Also, the model enables the examination of future hybrid and wholly virtual events that may be further improved by complex event processing and optimization methodologies that operate in real time.

WS009 - Fundamentals of Cloud Computing

WS009 - Fundamentals of Cloud Computing

WS009 - Fundamentals of Cloud Computing

Therefore, the purpose of this research paper is to investigate the incorporation of PSO into schedule task on cloud computing systems. Generally, conventional techniques of scheduling encounter inefficiencies that inflict lighting energy waste and augment energy expenses. This paper outlines a novel, PSO-based scheduling algorithm that uses real feedback from current context to properly assign resources for tasks and improve metrics in terms of task time requirement, resource consumption, energy saving, makespan, and average task waiting time. Polynomial and numerical analysis of the proposed real time PSO- based solution applied to a simulated Cloud environment reveals that it is far superior to conventional methods such as FCFS and Round Robin. Thus, the results prove that the proposed PSO algorithm can be deemed a relatively strong solution of the problem of effective distribution of tasks in cloud computing environments while also providing the schedule that is responsive to the fluctuations in the work load

Therefore, the purpose of this research paper is to investigate the incorporation of PSO into schedule task on cloud computing systems. Generally, conventional techniques of scheduling encounter inefficiencies that inflict lighting energy waste and augment energy expenses. This paper outlines a novel, PSO-based scheduling algorithm that uses real feedback from current context to properly assign resources for tasks and improve metrics in terms of task time requirement, resource consumption, energy saving, makespan, and average task waiting time. Polynomial and numerical analysis of the proposed real time PSO- based solution applied to a simulated Cloud environment reveals that it is far superior to conventional methods such as FCFS and Round Robin. Thus, the results prove that the proposed PSO algorithm can be deemed a relatively strong solution of the problem of effective distribution of tasks in cloud computing environments while also providing the schedule that is responsive to the fluctuations in the work load

This session of the 2011 Microsoft Research Faculty Summit includes the following presentations: Cloud Computing for Science in Europe and VENUS-C : Fabrizio Gagliardi, EMEA director, Microsoft Research Connections Towards Exaflop Supercomputers : Prof. Mateo Valero, scientific director, Barcelona Supercomputing Center, Spain These presentations were part of theCloud Computing in eScience research track at the summit. ©2011 Microsoft Corporation. All rights reserved. Learn more Education and Scholarly Communication at Microsoft Research Connections Microsoft Research Connections Latin America

Cloud computing transforms the way information technology (IT) is consumed and managed, promising improved cost efficiencies, accelerated innovation, faster time-to-market, and the ability to scale applications on demand. However, as the shape of the cloud computing is emerging and developing rapidly both conceptually and in reality, the legal/contractual, economic, service quality, interoperability, security and privacy issues still pose significant challenges. In this project, we describe various service and deployment models of cloud computing and identify major challenges. In particular, we discuss three critical challenges: security and privacy issues in cloud computing. Some solutions to mitigate these challenges are also proposed along with a brief presentation on the future trends in cloud computing deployment. The use of cloud computing has increased rapidly in many organizations. Cloud computing provides many benefits in terms of low cost and accessibility of data. Ensuring the security of cloud computing is a major factor in the cloud computing environment, as users often store sensitive information with cloud storage providers but these providers may not be trusted.