Adaptive Resource Management and Scheduling for Cloud Computing
First International Workshop, ARMS-CC 2014, held in Conjunction with ACM Symposium on Principles of Distributed Computing, PODC 2014, Paris, France, July 15, 2014, Revised Selected Papers
Published on 5. December 2014
Book
Paperback/Softback
XII, 217 pages
978-3-319-13463-5 (ISBN)
Description
This book constitutes the thoroughly refereed post-conference proceedings of the First International Workshop on Adaptive Resource Management and Scheduling for Cloud Computing, ARMS-CC 2014, held in Conjunction with ACM Symposium on Principles of Distributed Computing, PODC 2014, in Paris, France, in July 2014. The 14 revised full papers (including 2 invited talks) were carefully reviewed and selected from 29 submissions and cover topics such as scheduling methods and algorithms, services and applications, fundamental models for resource management in the cloud.
More details
Series
Edition
2014 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Research
Illustrations
68 s/w Abbildungen
XII, 217 p. 68 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 13 mm
Weight
359 gr
ISBN-13
978-3-319-13463-5 (9783319134635)
DOI
10.1007/978-3-319-13464-2
Schweitzer Classification
Other editions
Additional editions
Florin Pop | Maria Potop-Butucaru
Adaptive Resource Management and Scheduling for Cloud Computing
First International Workshop, ARMS-CC 2014, held in Conjunction with ACM Symposium on Principles of Distributed Computing, PODC 2014, Paris, France, July 15, 2014, Revised Selected Papers
E-Book
11/2014
Springer
€53.49
Available for download
Content
A Multi-Capacity Queuing Mechanism in Multi-Dimensional Resource Scheduling.- A Green Scheduling Policy for Cloud Computing.- A Framework for Speculative Scheduling and Device Selection for Task Execution on a Mobile Cloud.- An Interaction Balance Based Approach for Autonomic Performance Management in a Cloud Computing Environment.- Power-efficient Assignment of Virtual Machines to Physical Machines.- Simulation of Multi-Tenant Scalable Cloud-Distributed Enterprise Information Systems.- Towards Type-based Optimizations in Distributed Applications using ABS and JAVA 8.- A Parallel Genetic Algorithm Framework for Cloud Computing Applications.