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Adaptive Resource Management and Scheduling for Cloud Computing

First International Workshop, ARMS-CC 2014, held in Conjunction with ACM Symposium on Principles of Distributed Computing, PODC 2014, Paris, France, July 15, 2014, Revised Selected Papers

  • Conference proceedings
  • © 2014

Overview

Editors:
  1. Florin Pop

    1. Computer Science Department, University Politehnica of Bucharest, Bucharest, Romania

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    You can also search for this editor in PubMed   Google Scholar

  2. Maria Potop-Butucaru

    1. Sorbonne Universités, Université Pierre et Marie CURIE, Paris, France

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8907)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: ARMS-CC 2014.

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Table of contents (15 papers)

  1. Front Matter

    Pages I-XII
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  2. Invited Paper

    1. Front Matter

      Pages 1-1
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    2. In-Memory Runtime File Systems for Many-Task Computing

      • Alexandru Uta, Andreea Sandu, Ion Morozan, Thilo Kielmann
      Pages 3-5

  3. Scheduling Methods and Algorithms

    1. Front Matter

      Pages 7-7
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    2. A Multi-capacity Queuing Mechanism in Multi-dimensional Resource Scheduling

      • Mehdi Sheikhalishahi, Richard M. Wallace, Lucio Grandinetti, José Luis Vazquez-Poletti, Francesca Guerriero
      Pages 9-25

    3. A Green Scheduling Policy for Cloud Computing

      • Jordi Vilaplana, Francesc Solsona, Ivan Teixido, Jordi Mateo, Josep Rius, Francesc Abella
      Pages 26-35

    4. A Framework for Speculative Scheduling and Device Selection for Task Execution on a Mobile Cloud

      • Ansuman Banerjee, Himadri Sekhar Paul, Arijit Mukherjee, Swarnava Dey, Pubali Datta
      Pages 36-51

    5. An Interaction Balance Based Approach for Autonomic Performance Management in a Cloud Computing Environment

      • Rajat Mehrotra, Srishti Srivastava, Ioana Banicescu, Sherif Abdelwahed
      Pages 52-70

    6. Power-Efficient Assignment of Virtual Machines to Physical Machines

      • Jordi Arjona Aroca, Antonio Fernández Anta, Miguel A. Mosteiro, Christopher Thraves, Lin Wang
      Pages 71-88

  4. Services and Applications

    1. Front Matter

      Pages 89-89
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    2. SLA-Driven Simulation of Multi-Tenant Scalable Cloud-Distributed Enterprise Information Systems

      • Alexandru-Florian Antonescu, Torsten Braun
      Pages 91-102

    3. Towards Type-Based Optimizations in Distributed Applications Using ABS and JAVA 8

      • Vlad Serbanescu, Chetan Nagarajagowda, Keyvan Azadbakht, Frank de Boer, Behrooz Nobakht
      Pages 103-112

    4. A Parallel Genetic Algorithm Framework for Cloud Computing Applications

      • Elena Apostol, Iulia Băluţă, Alexandru Gorgoi, Valentin Cristea
      Pages 113-127

    5. Analysing Scalability Strategies for Service Choreographies on Cloud Environments

      • Raphael Gomes, Fabio Costa, Ricardo Rocha
      Pages 128-143

  5. Foundational Models for Resource Management in Cloud

    1. Front Matter

      Pages 145-145
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    2. Towards Efficient Power Management in MapReduce: Investigation of CPU-Frequencies Scaling on Power Efficiency in Hadoop

      • Shadi Ibrahim, Diana Moise, Houssem-Eddine Chihoub, Alexandra Carpen-Amarie, Luc Bougé, Gabriel Antoniu
      Pages 147-164

    3. Self-management of Live Streaming Application in Distributed Cloud Infrastructure

      • Patricia Endo, Marcelo Santos, Jônatas Vitalino, Glauco Gonçalves, Moisés Rodrigues, Djamel F. H. Sadok et al.
      Pages 165-179

    4. Towards the Impact of Design Flaws on the Resources Used by an Application

      • Cristina Marinescu, Şerban Stoenescu, Teodor-Florin Fortiş
      Pages 180-192

    5. Policy-Based Cloud Management Through Resource Usage Prediction

      • Cătălin Leordeanu, Silviu Grigore, Octavian Moraru, Valentin Cristea
      Pages 193-205

    6. An Inter-Cloud Architecture for Future Internet Infrastructures

      • Stelios Sotiriadis, Nik Bessis, Euripides G. M. Petrakis
      Pages 206-216
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About this book

This book constitutes the thoroughly refereed post-conference proceedings of the First International Workshop on Adaptive Resource Management and Scheduling for Cloud Computing, ARMS-CC 2014, held in Conjunction with ACM Symposium on Principles of Distributed Computing, PODC 2014, in Paris, France, in July 2014. The 14 revised full papers (including 2 invited talks) were carefully reviewed and selected from 29 submissions and cover topics such as scheduling methods and algorithms, services and applications, fundamental models for resource management in the cloud.

Editors and Affiliations

  • Computer Science Department, University Politehnica of Bucharest, Bucharest, Romania

    Florin Pop

  • Sorbonne Universités, Université Pierre et Marie CURIE, Paris, France

    Maria Potop-Butucaru

Bibliographic Information

  • Book Title: Adaptive Resource Management and Scheduling for Cloud Computing

  • Book Subtitle: First International Workshop, ARMS-CC 2014, held in Conjunction with ACM Symposium on Principles of Distributed Computing, PODC 2014, Paris, France, July 15, 2014, Revised Selected Papers

  • Editors: Florin Pop, Maria Potop-Butucaru

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-319-13464-2

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer International Publishing Switzerland 2014

  • Softcover ISBN: 978-3-319-13463-5Published: 05 December 2014

  • eBook ISBN: 978-3-319-13464-2Published: 25 November 2014

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XII, 217

  • Number of Illustrations: 68 b/w illustrations

  • Topics: Computer Science, general

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