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Adaptive Resource Management and Scheduling for Cloud Computing

Editat de Florin Pop, Maria Potop-Butucaru
en Limba Engleză Paperback – 5 dec 2014
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.
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Specificații

ISBN-13: 9783319134635
ISBN-10: 3319134639
Pagini: 232
Ilustrații: XII, 217 p. 68 illus.
Dimensiuni: 155 x 235 x 13 mm
Greutate: 0.36 kg
Ediția:2014
Editura: Springer
Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

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.

Textul de pe ultima copertă

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.

Caracteristici

Includes supplementary material: sn.pub/extras