Adaptive Resource Management and Scheduling for Cloud Computing (eBook, PDF)

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
Redaktion: Pop, Florin; Potop-Butucaru, Maria

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 187
• Erscheinungstermin: 7. Januar 2016
• Englisch
• ISBN-13: 9783319284484
• Artikelnr.: 44485229

Inhaltsangabe

Competitive Analysis of Task Scheduling Algorithms on a Fault-Prone Machineand the Impact of Resource Augmentation.- Using Performance Forecasting toAccelerate Elasticity.- Parametric Analysis of Mobile Cloud ComputingFrameworks using Simulation Modeling.- Bandwidth Aware Resource Optimizationfor SMT Processors.- User-guided provisioning in federated clouds fordistributed calculations.- Compute on the go: A case of mobile-cloudcollaborative computing under mobility.- Impact of Virtual MachinesHeterogeneity on Datacenter Power Consumption in Data-Intensive Applications.- Implementingthe Cloud Software to Data approach for OpenStack environments.- Is CloudSelf-organization Feasible.- Cloud Services composition through Cloud Patterns.-An Eye on the Elephant in the Wild: A Performance Evaluation of Hadoop'sSchedulers Under Failures.- Partitioning graph databases by using accesspatterns.- Cloud Search Based Applications for Big Data - Challenges and Methodologiesfor Acceleration.