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Treffer: 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

Title:
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
Contributors:
Potop-Butucaru, Maria, editor., Pop, Florin, editor.
Publication Year:
2015
Physical Description:
XII, 187 p. 77 illus. in color. online resource.
Series:
Lecture Notes in Computer Science
Lecture Notes in Computer Science
Subject Terms:
Information Systems Applications (incl. Internet), Computer networks., Computer science., Computer programming., Software engineering., Algorithms., Computer simulation., Computer Science., Algorithm Analysis and Problem Complexity., Computer Communication Networks., Software Engineering., Programming Techniques., Simulation and Modeling.
Contents Note:
Competitive Analysis of Task Scheduling Algorithms on a Fault-Prone Machine and the Impact of Resource Augmentation -- Using Performance Forecasting to Accelerate Elasticity -- Parametric Analysis of Mobile Cloud Computing Frameworks using Simulation Modeling -- Bandwidth Aware Resource Optimization for SMT Processors -- User-guided provisioning in federated clouds for distributed calculations -- Compute on the go: A case of mobile-cloud collaborative computing under mobility -- Impact of Virtual Machines Heterogeneity on Datacenter Power Consumption in Data-Intensive Applications -- Implementing the Cloud Software to Data approach for OpenStack environments -- Is Cloud Self-organization Feasible -- Cloud Services composition through Cloud Patterns -- An Eye on the Elephant in the Wild: A Performance Evaluation of Hadoop's Schedulers Under Failures -- Partitioning graph databases by using access patterns -- Cloud Search Based Applications for Big Data - Challenges and Methodologies for Acceleration.
Original Identifier:
(Springer)9783319284484
Document Type:
Buch Book
Language:
English
ISBN:
978-3-319-28448-4
978-3-319-28447-7
3-319-28448-7
3-319-28447-9
Rights:
This record is part of the Harvard Library Bibliographic Dataset, which is provided by the Harvard Library under its Bibliographic Dataset Use Terms and includes data made available by, among others, OCLC Online Computer Library Center, Inc. and the Library of Congress.
Accession Number:
edshlc.014601343.3
Database:
Harvard Library Bibliographic Dataset

Weitere Informationen

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.