Adaptive Resource Management and Scheduling for Cloud Computing

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

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.

• distributed scheduling algorithms
• foundational models
• load-balancing and co-allocation
• machine learning
• many-task computing

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

  Florin Pop

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

  Maria Potop-Butucaru

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