1.

Record Nr.

UNISA996465601403316

Titolo

Job Scheduling Strategies for Parallel Processing [[electronic resource] ] : 11th International Workshop, JSSPP 2005, Cambridge, MA, USA, June 19, 2005, Revised Selected Papers / / edited by Dror Feitelson, Eitan Frachtenberg, Larry Rudolph, Uwe Schwiegelshohn

Pubbl/distr/stampa

Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005

ISBN

3-540-31617-5

Edizione

[1st ed. 2005.]

Descrizione fisica

1 online resource (VIII, 283 p.)

Collana

Theoretical Computer Science and General Issues, , 2512-2029 ; ; 3834

Disciplina

003.3

Soggetti

Computer systems

Operating systems (Computers)

Computer programming

Algorithms

Microprocessors

Computer architecture

Logic design

Computer System Implementation

Operating Systems

Programming Techniques

Processor Architectures

Logic Design

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Modeling User Runtime Estimates -- Workload Analysis of a Cluster in a Grid Environment -- ScoPred–Scalable User-Directed Performance Prediction Using Complexity Modeling and Historical Data -- Open Job Management Architecture for the Blue Gene/L Supercomputer -- AnthillSched: A Scheduling Strategy for Irregular and Iterative I/O-Intensive Parallel Jobs -- An Extended Evaluation of Two-Phase Scheduling Methods for Animation Rendering -- Co-scheduling with User-Settable Reservations -- Scheduling Moldable BSP Tasks --



Evolving Toward the Perfect Schedule: Co-scheduling Job Assignments and Data Replication in Wide-Area Systems Using a Genetic Algorithm -- Wave Scheduler: Scheduling for Faster Turnaround Time in Peer-Based Desktop Grid Systems -- Enhancing Security of Real-Time Applications on Grids Through Dynamic Scheduling -- Unfairness Metrics for Space-Sharing Parallel Job Schedulers -- Pitfalls in Parallel Job Scheduling Evaluation.