Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Choosing a load balancing scheme for agent-based digital libraries

Georgousopoulos, Christos and Rana, Omer Farooq ORCID: https://orcid.org/0000-0003-3597-2646 2006. Choosing a load balancing scheme for agent-based digital libraries. Lecture Notes in Computer Science 4330 , pp. 51-62. 10.1007/11946441_10

Full text not available from this repository.

Abstract

Digital Libraries (DLs) provide an important application area for deploying mobile agents, and with the increase in content being made available within such libraries, performance concerns are becoming significant. Current DLs often involve content servers which are geographically distributed, often necessitating information from these servers to be aggregated to answer a single query. Encoding a query as a mobile agent provides a useful means to implement such queries. However, a significant concern when this approach is adopted is the need to load balance multiple sets of such agents across the available servers. This paper focuses on an attempt to answer which load balancing scheme should be applied to an agent-based DL. A demonstration of a load balancing scheme based on the guidelines proposed in this paper with reference to Synthetic Aperture Radar Atlas (SARA) DL, consisting of multi-spectral images of the Earth, is presented. This particular DL involves processing image content, but also involves aggregation of data acquired from the images with text-based content available elsewhere.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Additional Information: ISBN 9783540680673 - Parallel and Distributed Processing and Applications:4th International Symposium, ISPA 2006, Sorrento, Italy, December 4-6, 2006. Proceedings
Publisher: Springer
ISSN: 0302-9743
Last Modified: 24 Oct 2022 10:59
URI: https://orca.cardiff.ac.uk/id/eprint/46581

Citation Data

Cited 2 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item