Adaptive resource management and scheduling for cloud computing [electronic resource] : 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 / Florin Pop, Maria Potop-Butucaru (Eds.).
ARMS-CC (2nd : 2015 : Donostia-San Sebastián, Spain); Pop, Florin, editor.; Potop-Butucaru, Maria, editor.
2015
QA76.585 .A76 2015eb
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Title
Adaptive resource management and scheduling for cloud computing [electronic resource] : 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 / Florin Pop, Maria Potop-Butucaru (Eds.).
Meeting Name
ARMS-CC (2nd : 2015 : Donostia-San Sebastián, Spain)
ISBN
9783319284484 electronic book
3319284487 electronic book
9783319284477
Published
Cham : Springer, [2015]
Copyright
©2015
Language
English
Description
1 online resource
Call Number
QA76.585 .A76 2015eb
Dewey Decimal Classification
004.67/82
Summary
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.
Note
Includes author index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed January 19, 2016).
Added Author
Pop, Florin, editor.
Potop-Butucaru, Maria, editor.
Series
Lecture notes in computer science ; 9438.
LNCS sublibrary. SL 1, Theoretical computer science and general issues.
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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.

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