Advertisement

Adaptive Resource Management and Scheduling for Cloud Computing

Second International Workshop, ARMS-CC 2015, Held in Conjunction with ACM Symposium on Principles of Distributed Computing, PODC 2015, Donostia-San Sebastián, Spain, July 20, 2015, Revised Selected Papers

  • Florin Pop
  • Maria Potop-Butucaru
Conference proceedings ARMS-CC 2015

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9438)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 9438)

Table of contents

  1. Front Matter
    Pages I-XII
  2. Antonio Fernández Anta, Chryssis Georgiou, Dariusz R. Kowalski, Elli Zavou
    Pages 1-16
  3. Paulo Moura, Fabio Kon, Spyros Voulgaris, Maarten van Steen
    Pages 17-31
  4. Arani Bhattacharya, Ansuman Banerjee, Pradipta De
    Pages 32-48
  5. S. Jasmine Madonna, Satish Kumar Sadasivam, Prathiba Kumar
    Pages 49-59
  6. A. J. Rubio-Montero, E. Huedo, R. Mayo-García
    Pages 60-77
  7. Himadri Sekhar Paul, Pubali Datta, Ansuman Banerjee, Arijit Mukherjee
    Pages 78-90
  8. Lenos Vakanas, Stelios Sotiriadis, Euripides G. M. Petrakis
    Pages 103-118
  9. Dan C. Marinescu, John P. Morrison, Ashkan Paya
    Pages 119-127
  10. Beniamino Di Martino, Giuseppina Cretella, Antonio Esposito
    Pages 128-140
  11. Volkan Tüfekçi, Can Özturan
    Pages 158-176
  12. George Suciu, Ana Maria Sticlan, Cristina Butca, Alexandru Vulpe, Alexandru Stancu, Simona Halunga
    Pages 177-185
  13. Back Matter
    Pages 187-187

About these proceedings

Introduction

This book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Adaptive Resource Management and Scheduling for Cloud Computing, ARMS-CC 2015, held in Conjunction with ACM Symposium on Principles of Distributed Computing, PODC 2015, in Donostia-San Sebastián, Spain, in July 2015.

The 12 revised full papers, including 1 invited paper, were carefully reviewed and selected from 24 submissions. The papers have identified several important aspects of the problem addressed by ARMS-CC: self-* and autonomous cloud systems, cloud quality management and service level agreement (SLA), scalable computing, mobile cloud computing, cloud computing techniques for big data, high performance cloud computing, resource management in big data platforms, scheduling algorithms for big data processing, cloud composition, federation, bridging, and bursting, cloud resource virtualization and composition, load-balancing and co-allocation, fault tolerance, reliability, and availability of cloud systems.

Keywords

Distributed scheduling algorithms Foundational models Load-balancing and co-allocation Machine learning Many-task computing Big data Cloud computing Energy aware computing Graph partitioning Integer linear programming Mobile cloud computing Modeling Online algorithms Performance prediction Resource optimization Scalability modeling Scheduling Self-organization Simulation Virtualization

Editors and affiliations

  • Florin Pop
    • 1
  • Maria Potop-Butucaru
    • 2
  1. 1.University Politehnica of BucharestBucharestRomania
  2. 2.Université Pierre et Marie CURIEParisFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-28448-4
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-28447-7
  • Online ISBN 978-3-319-28448-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site