Adaptive Resource Management And Scheduling For Cloud Computing: Second International Workshop, Arms-cc 2015, Held In Conjunction With Acm Symposium ... Papers (lecture Notes In Computer Science)
by Florin Pop /
2016 / English / PDF
12.4 MB Download
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.
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.
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.
