书目名称 | Online Capacity Provisioning for Energy-Efficient Datacenters |
编辑 | Minghua Chen,Sid Chi-Kin Chau |
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概述 | Examines ways to improve the design of online algorithms with predictions in dynamic provisioning.Describes best practices for implementing online dynamic provisioning algorithms for data centers.Expl |
丛书名称 | Synthesis Lectures on Learning, Networks, and Algorithms |
图书封面 |  |
描述 | This book addresses the urgent issue of massive and inefficient energy consumption by data centers, which have become the largest co-located computing systems in the world and process trillions of megabytes of data every second. Dynamic provisioning algorithms have the potential to be the most viable and convenient of approaches to reducing data center energy consumption by turning off unnecessary servers, but they incur additional costs from being unable to properly predict future workload demands that have only recently been mitigated by advances in machine-learned predictions..This book explores whether it is possible to design effective online dynamic provisioning algorithms that require zero future workload information while still achieving close-to-optimal performance. It also examines whether characterizing the benefits of utilizing the future workload information can then improve the design of online algorithms with predictions in dynamic provisioning. The book specifically develops online dynamic provisioning algorithms with and without the available future workload information. Readers will discover the elegant structure of the online dynamic provisioning problem in a way |
出版日期 | Book 2022 |
关键词 | Dynamic Provisioning; Online algorithms; Datacenters; Capacity Provisioning; Energy-Efficient Computing |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-031-11549-3 |
isbn_softcover | 978-3-031-11551-6 |
isbn_ebook | 978-3-031-11549-3Series ISSN 2690-4306 Series E-ISSN 2690-4314 |
issn_series | 2690-4306 |
copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |