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"4. IJCSEITR IMPROVED ALGORITHM FOR DYNAMIC MEMORY ALLOCATION" and the language of the book is English.


“4. IJCSEITR IMPROVED ALGORITHM FOR DYNAMIC MEMORY ALLOCATION” Metadata:

  • Title: ➤  4. IJCSEITR IMPROVED ALGORITHM FOR DYNAMIC MEMORY ALLOCATION
  • Language: English

“4. IJCSEITR IMPROVED ALGORITHM FOR DYNAMIC MEMORY ALLOCATION” Subjects and Themes:

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  • Internet Archive ID: ➤  4.IJCSEITRIMPROVEDALGORITHMFORDYNAMICMEMORYALLOCATION

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<p class="MsoNormal" style="margin-bottom:6pt;text-align:justify;text-indent:0.5in;line-height:150%;"><b><i><span lang="en-au" style="font-size:9pt;line-height:150%;" xml:lang="en-au">Cloud is a new age technology used to connect to applications and data from anywhere round the globe via the internet. Anything and everything ranging from mobile phones to servers can be connected to the cloud. This has resulted into companies providing a large range of services to consumers. Upcoming businesses can now focus on its major purpose and not have to install their own servers. They can easily outsource it to these cloud providers saving them from a lot of capital investment. With the ever increasing devices on the cloud a major issue has emerged, something that needs immediate attention - Resource utilization. All the resources connected to the cloud need to function optimally for making cloud providers earn proper Return on Investment (RoI) and making the cloud users experience worthwhile. This paper proposes a new Resource Allocation Strategy for provisioning of virtual machines (VM). This work focuses on two phases, firstly the initial allocation of VMs using K-Mean Clustering technique and secondly on maximizing the optimal functioning of these VMs by migrating them from one physical machine (PM) to another. For this purpose the Load Balancing Algorithm, Skewness Algorithm and the Green Computing Algorithm are used. It also introduces a change in the Load Balancing Equation and the Skewness Equation which gives much better results.</span></i></b></p><p></p>

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