Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/39715
DC Field | Value | |
---|---|---|
dc.title | ALiCE: A scalable runtime infrastructure for high performance grid computing | |
dc.contributor.author | Teo, Y.-M. | |
dc.contributor.author | Wang, X. | |
dc.date.accessioned | 2013-07-04T07:47:55Z | |
dc.date.available | 2013-07-04T07:47:55Z | |
dc.date.issued | 2004 | |
dc.identifier.citation | Teo, Y.-M.,Wang, X. (2004). ALiCE: A scalable runtime infrastructure for high performance grid computing. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3222 : 101-109. ScholarBank@NUS Repository. | |
dc.identifier.issn | 03029743 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/39715 | |
dc.description.abstract | This paper discusses a Java-based grid computing middleware, ALiCE, to facilitate the development and deployment of generic grid applications on heterogeneous shared computing resources. The ALiCE layered grid architecture comprises of a core layer that provides the basic services for control and communication within a grid. Programming template in the extensions layer provides a distributed shared-memory programming abstraction that frees the grid application developer from the intricacies of the core layer and the underlying grid system. Performance of a distributed Data Encryption Standard (DES) key search problem on two grid configurations is discussed. © IFIP International Federation for Information Processing 2004. | |
dc.source | Scopus | |
dc.type | Article | |
dc.contributor.department | COMPUTER SCIENCE | |
dc.description.sourcetitle | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | |
dc.description.volume | 3222 | |
dc.description.page | 101-109 | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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