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Job Scheduling Strategies for Parallel Processing [electronic resource] : 18th International Workshop, JSSPP 2014, Phoenix, AZ, USA, May 23, 2014. Revised Selected Papers / edited by Walfredo Cirne, Narayan Desai.

Contributor(s): Cirne, Walfredo [editor.] | Desai, Narayan [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 8828Publisher: Cham : Springer International Publishing : Imprint: Springer, 2015Description: X, 169 p. 60 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319157894.Subject(s): Computer science | Computer communication systems | Software engineering | Algorithms | Computer simulation | Computer Science | Software Engineering/Programming and Operating Systems | Computer Communication Networks | Algorithm Analysis and Problem Complexity | Information Systems Applications (incl. Internet) | Simulation and ModelingAdditional physical formats: Printed edition:: No titleDDC classification: 005.1 Online resources: Click here to access online
Contents:
Bubble Task: A Dynamic Execution Throttling Method for Multi-core Resource Management -- Real-World Clustering for Task Graphs on Shared Memory Systems -- Experimental Analysis of the Tardiness of Parallel Tasks in Soft Real-time Systems -- Multi-Resource Aware Fairsharing for Heterogeneous Systems -- Priority Operators for Fairshare Scheduling -- User-Aware Metrics for Measuring Quality of Parallel Job Schedules -- Prediction of Queue Waiting Times for Metascheduling on Parallel Batch Systems -- Dynamically Scheduling a Component-Based Framework in Clusters -- How to Design a Job Scheduling Algorithm.
In: Springer eBooksSummary: This book constitutes the thoroughly refereed post-conference proceedings of the 18th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2014, held in Phoenix, AZ, USA, in May 2014. The 9 revised full papers presented were carefully reviewed and selected from 24 submissions. The papers cover the following topics: single-core parallelism; moving to distributed-memory, larger-scale systems, scheduling fairness; and parallel job scheduling.
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Bubble Task: A Dynamic Execution Throttling Method for Multi-core Resource Management -- Real-World Clustering for Task Graphs on Shared Memory Systems -- Experimental Analysis of the Tardiness of Parallel Tasks in Soft Real-time Systems -- Multi-Resource Aware Fairsharing for Heterogeneous Systems -- Priority Operators for Fairshare Scheduling -- User-Aware Metrics for Measuring Quality of Parallel Job Schedules -- Prediction of Queue Waiting Times for Metascheduling on Parallel Batch Systems -- Dynamically Scheduling a Component-Based Framework in Clusters -- How to Design a Job Scheduling Algorithm.

This book constitutes the thoroughly refereed post-conference proceedings of the 18th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2014, held in Phoenix, AZ, USA, in May 2014. The 9 revised full papers presented were carefully reviewed and selected from 24 submissions. The papers cover the following topics: single-core parallelism; moving to distributed-memory, larger-scale systems, scheduling fairness; and parallel job scheduling.

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