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 Sebastián, Spain, July 20, 2015, Revised Selected Papers

Nonfiction, Computers, Networking & Communications, Hardware, General Computing, Programming
Cover of the book Adaptive Resource Management and Scheduling for Cloud Computing by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319284484
Publisher: Springer International Publishing Publication: January 7, 2016
Imprint: Springer Language: English
Author:
ISBN: 9783319284484
Publisher: Springer International Publishing
Publication: January 7, 2016
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book Foucault and Post-Financial Crises by
Cover of the book Practical Opto-Electronics by
Cover of the book The Bright Side and the Dark Side of Patient Empowerment by
Cover of the book Nanopackaging by
Cover of the book Youth and Justice in Western States, 1815-1950 by
Cover of the book Imaging Sunlight Using a Digital Spectroheliograph by
Cover of the book Antitrust Analysis of Online Sales Platforms & Copyright Limitations and Exceptions by
Cover of the book Advances in Human Factors, Business Management and Society by
Cover of the book Essentials of Hypertension by
Cover of the book From Bench to Boardroom by
Cover of the book Exploring the Toxicity of Lateral Violence and Microaggressions by
Cover of the book Trends and Challenges in Digital Business Innovation by
Cover of the book New Perspectives in End-User Development by
Cover of the book Translocal Childhoods and Family Mobility in East and North Europe by
Cover of the book Springer Handbook of Ocean Engineering by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy