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Adaptive Resource Management and Sch...
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Adaptive Resource Management and Scheduling for Cloud ComputingSecond 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 /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Adaptive Resource Management and Scheduling for Cloud Computingedited by Florin Pop, Maria Potop-Butucaru.
Reminder of title:
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 /
remainder title:
ARMS-CC 2015
other author:
Pop, Florin.
corporate name:
Published:
Cham :Springer International Publishing :2015.
Description:
xii, 187 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Cloud computingCongresses.
Online resource:
http://dx.doi.org/10.1007/978-3-319-28448-4
ISBN:
9783319284484$q(electronic bk.)
Adaptive Resource Management and Scheduling for Cloud ComputingSecond International Workshop, ARMS-CC 2015, Held in Conjunction with ACM Symposium on Principles of Distributed Computing, PODC 2015, Donostia-San Sebastian, Spain, July 20, 2015 : revised selected papers /
Adaptive Resource Management and Scheduling for Cloud Computing
Second International Workshop, ARMS-CC 2015, Held in Conjunction with ACM Symposium on Principles of Distributed Computing, PODC 2015, Donostia-San Sebastian, Spain, July 20, 2015 : revised selected papers /[electronic resource] :ARMS-CC 2015edited by Florin Pop, Maria Potop-Butucaru. - Cham :Springer International Publishing :2015. - xii, 187 p. :ill., digital ;24 cm. - Lecture notes in computer science,94380302-9743 ;. - Lecture notes in computer science ;4891..
Competitive Analysis of Task Scheduling Algorithms on a Fault-Prone Machine and the Impact of Resource Augmentation -- Using Performance Forecasting to Accelerate Elasticity -- Parametric Analysis of Mobile Cloud Computing Frameworks using Simulation Modeling -- Bandwidth Aware Resource Optimization for SMT Processors -- User-guided provisioning in federated clouds for distributed calculations -- Compute on the go: A case of mobile-cloud collaborative computing under mobility -- Impact of Virtual Machines Heterogeneity on Datacenter Power Consumption in Data-Intensive Applications -- Implementing the Cloud Software to Data approach for OpenStack environments -- Is Cloud Self-organization Feasible -- Cloud Services composition through Cloud Patterns -- An Eye on the Elephant in the Wild: A Performance Evaluation of Hadoop's Schedulers Under Failures -- Partitioning graph databases by using access patterns -- Cloud Search Based Applications for Big Data - Challenges and Methodologies for Acceleration.
ISBN: 9783319284484$q(electronic bk.)
Standard No.: 10.1007/978-3-319-28448-4doiSubjects--Topical Terms:
384581
Cloud computing
--Congresses.
LC Class. No.: QA76.585 / .A76 2015
Dewey Class. No.: 004.6782
Adaptive Resource Management and Scheduling for Cloud ComputingSecond 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 /
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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 /
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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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