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Resource Management in Utility and Cloud Computing

Author : Han Zhao

Publisher : Springer Science & Business Media

Page : 94 pages

File Size : 27,64 MB

Release : 2013-10-17

Category : Computers

ISBN : 1461489709

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Book Description

This SpringerBrief reviews the existing market-oriented strategies for economically managing resource allocation in distributed systems. It describes three new schemes that address cost-efficiency, user incentives, and allocation fairness with regard to different scheduling contexts. The first scheme, taking the Amazon EC2TM market as a case of study, investigates the optimal resource rental planning models based on linear integer programming and stochastic optimization techniques. This model is useful to explore the interaction between the cloud infrastructure provider and the cloud resource customers. The second scheme targets a free-trade resource market, studying the interactions amongst multiple rational resource traders. Leveraging an optimization framework from AI, this scheme examines the spontaneous exchange of resources among multiple resource owners. Finally, the third scheme describes an experimental market-oriented resource sharing platform inspired by eBay's transaction model. The study presented in this book sheds light on economic models and their implication to the utility-oriented scheduling problems.



Resource Management and Efficiency in Cloud Computing Environments

Author : Turuk, Ashok Kumar

Publisher : IGI Global

Page : 369 pages

File Size : 46,94 MB

Release : 2016-11-08

Category : Computers

ISBN : 1522517227

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Book Description

Today’s advancements in technology have brought about a new era of speed and simplicity for consumers and businesses. Due to these new benefits, the possibilities of universal connectivity, storage and computation are made tangible, thus leading the way to new Internet-of Things solutions. Resource Management and Efficiency in Cloud Computing Environments is an authoritative reference source for the latest scholarly research on the emerging trends of cloud computing and reveals the benefits cloud paths provide to consumers. Featuring coverage across a range of relevant perspectives and topics, such as big data, cloud security, and utility computing, this publication is an essential source for researchers, students and professionals seeking current research on the organization and productivity of cloud computing environments.





Adaptive Resource Management and Scheduling for Cloud Computing

Author : Florin Pop

Publisher : Springer

Page : 197 pages

File Size : 23,88 MB

Release : 2016-01-07

Category : Computers

ISBN : 3319284487

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Book Description

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.



Adaptive Resource Management and Scheduling for Cloud Computing

Author : Florin Pop

Publisher : Springer

Page : 223 pages

File Size : 22,53 MB

Release : 2014-11-25

Category : Computers

ISBN : 3319134647

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Book 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.



Physical Resource Management and Access Mediation Within the Cloud Computing Paradigm

Author : Hutson Betts

Publisher :

Page : pages

File Size : 46,87 MB

Release : 2012

Category :

ISBN :

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Book Description

Cloud computing has seen a surge over the past decade as corporations and institutions have sought to leverage the economies-of-scale achievable through this new computing paradigm. However, the rapid adoptions of cloud computing technologies that implement the existing cloud computing paradigm threaten to undermine the long-term utility of the cloud model of computing. In this thesis we address how to accommodate the variety of access requirements and diverse hardware platforms of cloud computing users by developing extensions to the existing cloud computing paradigm that afford consumer-driven access requirements and integration of new physical hardware platforms.







Resource Management in Distributed Systems

Author : Anwesha Mukherjee

Publisher : Springer

Page : 0 pages

File Size : 23,57 MB

Release : 2024-07-10

Category : Computers

ISBN : 9789819726431

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Book Description

This book focuses on resource management in distributed computing systems. The book presents a collection of original, unpublished, and high-quality research works, which report the latest research advances on resource discovery, allocation, scheduling, etc., in cloud, fog, and edge computing. The topics covered in the book are resource management in cloud computing/edge computing/fog computing/dew computing, resource management in Internet of things, resource allocation, scheduling, monitoring, and orchestration in distributed computing systems, resource management in 5G network and beyond, latency-aware resource management, energy-efficient resource management, interoperability and portability, security and privacy in resource management, reliable resource management, trustworthiness in resource management, fault tolerance in resource management, and simulation related to resource management.



Optimized Cloud Resource Management and Scheduling

Author : Wenhong Dr. Tian

Publisher : Morgan Kaufmann

Page : 285 pages

File Size : 39,90 MB

Release : 2014-10-15

Category : Computers

ISBN : 0128016450

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Book Description

Optimized Cloud Resource Management and Scheduling identifies research directions and technologies that will facilitate efficient management and scheduling of computing resources in cloud data centers supporting scientific, industrial, business, and consumer applications. It serves as a valuable reference for systems architects, practitioners, developers, researchers and graduate level students. Explains how to optimally model and schedule computing resources in cloud computing Provides in depth quality analysis of different load-balance and energy-efficient scheduling algorithms for cloud data centers and Hadoop clusters Introduces real-world applications, including business, scientific and related case studies Discusses different cloud platforms with real test-bed and simulation tools