
Job Scheduling Strategies for Parallel Processing
21st International Workshop, JSSPP 2017, Orlando, FL, USA, June 2, 2017, Revised Selected Papers
Springer (Publisher)
Published on 28. February 2018
Book
Paperback/Softback
IX, 189 pages
978-3-319-77397-1 (ISBN)
Description
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.
More details
Series
Edition
2018 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
91 s/w Abbildungen
IX, 189 p. 91 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 12 mm
Weight
312 gr
ISBN-13
978-3-319-77397-1 (9783319773971)
DOI
10.1007/978-3-319-77398-8
Schweitzer Classification
Other editions
Additional editions

Dalibor Klusácek | Walfredo Cirne | Narayan Desai
Job Scheduling Strategies for Parallel Processing
21st International Workshop, JSSPP 2017, Orlando, FL, USA, June 2, 2017, Revised Selected Papers
E-Book
03/2018
Springer
€53.49
Available for download
Persons
Content
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.