Job Scheduling Strategies for Parallel Processing: 21st International Workshop, JSSPP 2017, Orlando, FL,...

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Dalibor Klusáček Walfredo Cirne

Job Scheduling Strategies for Parallel Processing

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

Dalibor Klusáček, Walfredo Cirne, Narayan Desai

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English

Springer International Publishing AG
28 February 2018

Software Engineering; Parallel processing

Series: Theoretical Computer Science and General Issues

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.

Edited by: Dalibor Klusáček, Walfredo Cirne, Narayan Desai
Imprint: Springer International Publishing AG
Country of Publication: Switzerland
Edition: 2018 ed.
Volume: 10773
Dimensions: Height: 235mm, Width: 155mm,
Weight: 454g
ISBN: 9783319773971
ISBN 10: 3319773976
Series: Theoretical Computer Science and General Issues
Pages: 189
Publication Date: 28 February 2018
Audience: Professional and scholarly , College/higher education , Undergraduate , Further / Higher Education
Format: Paperback
Publisher's Status: Active

Experience and Practice of Batch Scheduling on Leadership Supercomputers at Argonne.- Analysis of Mixed Workloads from Shared Cloud Infrastructure.- 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.