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 Sebastian, Spain, July 20, 2015, Revised Selected Papers

This book constitutes the thoroughly refereedpost-conference proceedings of the Second International Workshop on AdaptiveResource Management and Scheduling for Cloud Computing, ARMS-CC 2015, held inConjunction with ACM Symposium on Principles of Distributed Computing, PODC2015, 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 haveidentified several important aspects of the problem addressed by ARMS-CC:self-* and autonomous cloud systems, cloud quality management and service levelagreement (SLA), scalable computing, mobile cloud computing, cloud computingtechniques for big data, high performance cloud computing, resource managementin big data platforms, scheduling algorithms for big data processing, cloudcomposition, federation, bridging, and bursting, cloud resource virtualizationand composition, load-balancing and co-allocation, fault tolerance,reliability, and availability of cloud systems.

This book constitutes the thoroughly refereedpost-conference proceedings of the Second International Workshop on AdaptiveResource Management and Scheduling for Cloud Computing, ARMS-CC 2015, held inConjunction with ACM Symposium on Principles of Distributed Computing, PODC2015, 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 haveidentified several important aspects of the problem addressed by ARMS-CC:self-* and autonomous cloud systems, cloud quality management and service levelagreement (SLA), scalable computing, mobile cloud computing, cloud computingtechniques for big data, high performance cloud computing, resource managementin big data platforms, scheduling algorithms for big data processing, cloudcomposition, federation, bridging, and bursting, cloud resource virtualizationand composition, load-balancing and co-allocation, fault tolerance,reliability, and availability of cloud systems.