"Internet and Distributed Computing Systems" - Information and Links:

Internet and Distributed Computing Systems - Info and Reading Options

7th International Conference, IDCS 2014, Calabria, Italy, September 22-24, 2014, Proceedings

"Internet and Distributed Computing Systems" was published by Springer in 2014 - Cham, it has 458 pages and the language of the book is English.


“Internet and Distributed Computing Systems” Metadata:

  • Title: ➤  Internet and Distributed Computing Systems
  • Authors: ➤  
  • Language: English
  • Number of Pages: 458
  • Publisher: Springer
  • Publish Date:
  • Publish Location: Cham

“Internet and Distributed Computing Systems” Subjects and Themes:

Edition Specifications:

  • Weight: 7.139

Edition Identifiers:

AI-generated Review of “Internet and Distributed Computing Systems”:


"Internet and Distributed Computing Systems" Description:

Open Data:

Intro -- Preface -- Organization -- Table of Contents -- Agent-Oriented Algorithms and Systems -- Inserting "Brains" into Software Agents - Preliminary Considerations -- 1 Introduction -- 2 Introducing Intelligence into Software Agents -- 2.1 Native Approaches -- 2.2 Rule-Based Expert Systems for Agent Systems -- 2.3 Semantic Technologies for Agent Systems -- 3 Implementing Agents with "Brains" on Mobile Devices - Proposed Approach -- 3.1 Testing the Solution -- 4 Concluding Remarks -- References -- A Multi-agent Algorithm to Improve Content Management in CDN Networks -- 1 Introduction -- 2 Related Works -- 3 Algorithm for Metadata Reorganization -- 4 Algorithm for Metadata Discovery -- 5 Experimental Results -- 6 Conclusions -- References -- An Actor Based Software Framework for Scalable Applications -- 1 Introduction -- 2 CoDE -- 2.1 Actors -- 2.2 Actor Spaces -- 2.3 Actor and Scheduler Implementations -- 3 Experimentation -- 4 Related Work -- 5 Conclusions -- References -- Cloud Computing -- Semantic Representation of Cloud Services: A Case Study for Openstack -- 1 Introduction -- 2 Related Works -- 2.1 Semantic Based Representations -- 3 OpenStack Services Overview -- 4 The Cloud Services Ontology -- 5 The Cloud Provider Ontology -- 5.1 Description of Resources Configurations -- 6 OWL-S Annotation of the Openstack Neutron Service -- 7 Conclusion -- References -- Efficient Resource Scheduling for Big Data Processing in Cloud Platform -- 1 Introduction -- 2 Problem Formulation -- 2.1 Physical Servers and Tasks -- 2.2 Optimization Goal -- 2.3 Problem Analysis -- 3 Online Allocation and Dynamic Control -- 3.1 Key Parameters -- 3.2 Online Allocation -- 4 Performance Evaluation -- 4.1 Setup -- 4.2 Simulation Results -- 5 Conclusion -- References -- High Performance Cloud: A MapReduce and GPGPU Based Hybrid Approach -- 1 Introduction

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