| 书目名称 | Fair Scheduling in High Performance Computing Environments | | 编辑 | Art Sedighi,Milton Smith | | 视频video | | | 概述 | With the prevalence of shared computing environments (cloud for example), how a shared resource (such as a computer/CPU/Core) is distributed and time-shared across many users will be critically import | | 图书封面 |  | | 描述 | .This book introduces a new scheduler to fairly and efficiently distribute system resources to many users of varying usage patterns compete for them in large shared computing environments. The Rawlsian Fair scheduler developed for this effort is shown to boost performance while reducing delay in high performance computing workloads of certain types including the following four types examined in this book:..i. Class A – similar but complementary workloads..ii. Class B – similar but steady vs intermittent workloads..iii. Class C – Large vs small workloads..iv. Class D – Large vs noise-like workloads..This new scheduler achieves short-term fairness for small timescale demanding rapid response to varying workloads and usage profiles. Rawlsian Fair scheduler is shown to consistently benefit workload Classes C and D while it only benefits Classes A and B workloads where they become disproportionate as the number of users increases...A simulation framework, dSim, simulates the new Rawlsian Fair scheduling mechanism. The dSim helps achieve instantaneous fairness in High Performance Computing environments, effective utilization of computing resources, and user satisfacti | | 出版日期 | Book 2019 | | 关键词 | Scheduling; HPC; grid computing; Cloud; fairness; game theory; resource management; resource allocation; all | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-14568-2 | | isbn_ebook | 978-3-030-14568-2 | | copyright | Springer Nature Switzerland AG 2019 |
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发表于 2025-3-21 18:44:46
