Benefits of Global Grid Computing for Job Scheduling
In addition to other advantages, computational Grids are considered to utilize the participating compute resources more efficiently as well as to improve the response time for user jobs. Due to the lack of common large scale global Grids and corresponding studies on Grid workloads this assumption is...
Uložené v:
| Vydané v: | Fifth IEEE/ACM International Workshop on Grid Computing s. 374 - 379 |
|---|---|
| Hlavní autori: | , , |
| Médium: | Konferenčný príspevok.. |
| Jazyk: | English |
| Vydavateľské údaje: |
Washington, DC, USA
IEEE Computer Society
08.11.2004
IEEE |
| Edícia: | ACM Conferences |
| Predmet: |
Social and professional topics
> Professional topics
> Computing profession
> Testing, certification and licensing
Software and its engineering
> Software creation and management
> Software verification and validation
Software and its engineering
> Software creation and management
> Software verification and validation
> Software defect analysis
Software and its engineering
> Software organization and properties
> Software system structures
> Distributed systems organizing principles
|
| ISBN: | 0769522564, 9780769522562 |
| ISSN: | 1550-5510 |
| On-line prístup: | Získať plný text |
| Tagy: |
Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
|
| Shrnutí: | In addition to other advantages, computational Grids are considered to utilize the participating compute resources more efficiently as well as to improve the response time for user jobs. Due to the lack of common large scale global Grids and corresponding studies on Grid workloads this assumption is not yet verified. In this paper, the effect of geographical distribution of Grid resources on the machine utilization and the average response time is analyzed. To this end, simulations have been performed. The results show a significant benefit for the job scheduling quality due to the participation in a true global Grid. The average weighted response times of all submitted jobs decrease up to about 30%. The results have been verified using different workloads and Grid configurations. |
|---|---|
| ISBN: | 0769522564 9780769522562 |
| ISSN: | 1550-5510 |
| DOI: | 10.1109/GRID.2004.13 |

