Abstract
The shared data space model has proven to be an effective paradigm for building distributed applications. However, building an efficient distributed implementation remains a challenge. A plethora of different implementations exists. Each of them has a specific policy for distributing data across nodes. Often, these policies are tailored to a specific application domain. Thus, those systems may often perform poorly with applications extraneous to their domain. In this paper, we propose that implementations of a distributed shared data space system should provide mechanisms for tailoring data distribution policies. Through this flexibility the shared data space system can cope with a wide spectrum of application classes. The need for this flexibility is illustrated by experiments which show that there is no single distribution policy that works well in all cases.
| Original language | English |
|---|---|
| Title of host publication | Euro-Par 2004 Parallel Processing |
| Subtitle of host publication | 10th International Euro-Par Conference, Pisa, Italy, August 31- September 3, 2004. Proceedings |
| Editors | Marco Danelutto, Marco Vanneschi, Domenico Laforenza |
| Place of Publication | Berlin, Heidelberg |
| Publisher | Springer |
| Pages | 579-586 |
| Number of pages | 8 |
| ISBN (Electronic) | 978-3-540-27866-5 |
| ISBN (Print) | 978-3-540-22924-7 |
| DOIs | |
| Publication status | Published - 1 Dec 2004 |
| Externally published | Yes |
| Event | 10th International Euro-Par Conference on Parallel Processing, Euro-Par 2004 - Pisa, Italy Duration: 31 Aug 2004 → 3 Sept 2004 Conference number: 10 |
Publication series
| Name | Lecture Notes in Computer Science |
|---|---|
| Publisher | Springer |
| Volume | 3149 |
| ISSN (Print) | 0302-9743 |
Conference
| Conference | 10th International Euro-Par Conference on Parallel Processing, Euro-Par 2004 |
|---|---|
| Abbreviated title | Euro-Par |
| Country/Territory | Italy |
| City | Pisa |
| Period | 31/08/04 → 3/09/04 |
Keywords
- Usage pattern
- Data space
- Distribution strategy
- Read operation
- Application component
Fingerprint
Dive into the research topics of 'Exploiting differentiated tuple distribution in shared data spaces'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver