Combinatorial Auctions For Cloud Resources
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Auction Based Resource Provisioning in Cloud Computing
The book, while introducing readers to the auction mechanism for resource provisioning in cloud computing, also endeavors to provide structured literature on the subject. Since various models have been proposed, it will help readers to formulate the cloud resource provisioning problem using the auction approach. The book also discusses challenges for resource provisioning in detail, helping to shape future research. The target audience for this book includes computer scientists, economists, industry professionals, research scholars, and postgraduate students. Computer science readers of this book will come to see that economics-based method are quite helpful in computer science, especially for resource provisioning. Readers with a cloud computing background will come to recognize the importance of dynamic pricing, the specific benefits of auctions, and how to formulate auctions for cloud computing. Lastly, readers from the economics community will come to understand their role in cloud computing, as well as where and how they can contribute.
Cloud Computing
Cloud Computing: Theory and Practice, Third Edition provides students and IT professionals with an in-depth analysis of the cloud from the ground up. After an introduction to network-centric computing and network-centric content, the book reviews basic concepts of concurrency and parallel and distributed systems, presents critical components of the cloud ecosystem as cloud service providers, cloud access, cloud data storage, and cloud hardware and software, covers cloud applications and cloud security, and presents research topics in cloud computing. Specific topics covered include resource virtualization, resource management and scheduling, and advanced topics like the impact of scale on efficiency, cloud scheduling subject to deadlines, alternative cloud architectures, and vehicular clouds. An included glossary covers terms grouped in several categories, from general to services, virtualization, desirable attributes and security. - Presents updated content throughout chapters on concurrency, cloud hardware and software, challenges posed by big data, mobile applications and advanced topics - Includes an expanded appendix that presents several cloud computing projects - Provides more than 400 references in the text, including recent research results in several areas related to cloud computing
Stochastic Local Search
Stochastic local search (SLS) algorithms are among the most prominent and successful techniques for solving computationally difficult problems. Offering a systematic treatment of SLS algorithms, this book examines the general concepts and specific instances of SLS algorithms and considers their development, analysis and application.