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

Florin Pop, Maria Potop-Butucaru (Herausgeber)

Buch | Softcover

XII, 217 Seiten

2014 | 2014
Springer International Publishing (Verlag)
978-3-319-13463-5 (ISBN)

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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.

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.

Erscheint lt. Verlag	5.12.2014
Reihe/Serie	Lecture Notes in Computer Science
Reihe/Serie	Theoretical Computer Science and General Issues
Zusatzinfo	XII, 217 p. 68 illus.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	361 g
Themenwelt	Mathematik / Informatik ► Informatik ► Theorie / Studium
Schlagworte	distributed scheduling algorithms • foundational models • load-balancing and co-allocation • machine learning • many-task computing
ISBN-10	3-319-13463-9 / 3319134639
ISBN-13	978-3-319-13463-5 / 9783319134635
Zustand	Neuware