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Job Scheduling Strategies for Parallel Processing

21st International Workshop, JSSPP 2017, Orlando, FL, USA, June 2, 2017, Revised Selected Papers

Specificaties
Paperback, blz. | Engels
Springer International Publishing | e druk, 2018
ISBN13: 9783319773971
Rubricering
Springer International Publishing e druk, 2018 9783319773971
Onderdeel van serie Lecture Notes in Computer Science
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

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. 

Specificaties

ISBN13:9783319773971
Taal:Engels
Bindwijze:paperback
Uitgever:Springer International Publishing

Inhoudsopgave

<div>Experience and Practice of Batch Scheduling on Leadership Supercomputers at Argonne.- Analysis of Mixed Workloads from Shared Cloud Infrastructure.-&nbsp;Tuning EASY-Backfilling Queues.- Don't Hurry be Happy: a Deadline-based Backfilling Approach.- Supporting Real-Time Jobs on the IBM Blue Gene/Q: Simulation-Based Study.- Towards Efficient Resource Allocation for Distributed Workflows Under Demand Uncertainties.- Programmable In Situ System for Iterative.- A Data Structure for Planning Based Workload Management of Heterogeneous HPC Systems Workflows.- ScSF: A Scheduling Simulation Framework.- DJSB: Dynamic Job Scheduling Benchmark.</div>

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        Job Scheduling Strategies for Parallel Processing