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Titlebook: Job Scheduling Strategies for Parallel Processing; 21st International W Dalibor Klusá?ek,Walfredo Cirne,Narayan Desai Conference proceeding

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發(fā)表于 2025-3-21 18:36:42 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Job Scheduling Strategies for Parallel Processing
副標(biāo)題21st International W
編輯Dalibor Klusá?ek,Walfredo Cirne,Narayan Desai
視頻videohttp://file.papertrans.cn/501/500994/500994.mp4
叢書(shū)名稱(chēng)Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Job Scheduling Strategies for Parallel Processing; 21st International W Dalibor Klusá?ek,Walfredo Cirne,Narayan Desai Conference proceeding
描述This book constitutes the thoroughly refereed post-conference proceedings of the 21st International Workshop on Job Scheduling?Strategies for Parallel Processing, JSSPP 2017, held in Orlando, FL, USA, in June 2017..The 10 revised full papers presented in this book were carefully reviewed and selected from 20 submissions. The papers cover topics in the fields of design and evaluation of new scheduling approaches; performance evaluation of scheduling approaches; workloads; consideration of additional constraints in scheduling systems; scaling and composition of very large scheduling systems; cloud provider issues; interaction between schedulers on different levels; interaction between applications/workloads; experience reports from production systems or large scale compute campaigns.?.
出版日期Conference proceedings 2018
關(guān)鍵詞Parallel computing; Parallel processing; Distributed systems; Scheduling; Job scheduling; System modeling
版次1
doihttps://doi.org/10.1007/978-3-319-77398-8
isbn_softcover978-3-319-77397-1
isbn_ebook978-3-319-77398-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

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Analysis of Mixed Workloads from Shared Cloud Infrastructure,hallenge to utilize them properly. Workload scheduling is a critical process in every production system with an unwanted potential to hamper overall performance if the given scheduler is not adequate or properly configured. Therefore, researchers as well as system administrators are frequently using
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,Don’t Hurry Be Happy: A Deadline-Based Backfilling Approach,soon as possible while maximizing resource usage and ensuring fairness among users. However, some users might not be as hurried as the job scheduler but only interested in their jobs to complete before a given deadline..In this paper, we derive from this initial hypothesis a low-complexity schedulin
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Supporting Real-Time Jobs on the IBM Blue Gene/Q: Simulation-Based Study,ful research in a growing number of scientific fields depends on the ability to analyze data rapidly. In many situations, scientists and engineers want quasi-instant feedback, so that results from one experiment can guide selection of the next or even improve the course of a single experiment. Such
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DJSB: Dynamic Job Scheduling Benchmark, dynamic factors influence the performance which makes this goal a non-trivial task. According to our knowledge, there is no standard tool to automatize performance evaluation through comparing different configurations and helping system administrators to select the best scheduling policy or the bes
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