An efficient and light-weight multi-tasking model to achieve Intra-Agent concurrency for SAGE

Tariq, A., Basharat, A., Ahmad, H. F., & Shahid, A. R. (2004) An efficient and light-weight multi-tasking model to achieve Intra-Agent concurrency for SAGE. In Proceedings of INMIC 2004. 8th International Multitopic Conference, 2004, IEEE, National Univ. of Sci. & Technol., Rawalpindi, Pakistan, pp. 611-617.

View at publisher


Multi-agent systems implicate a high degree of concurrency at both the Inter- and Intra-Agent levels. Scalable, fault tolerant, Agent Grooming Environment (SAGE), the second generation, FIPA compliant MAS requires a built in mechanism to achieve both the Inter- and Intra-Agent concurrency. This paper dilates upon an attempt to provide a reliable, efficient and light-weight solution to provide intra-agent concurrency with-in the internal agent architecture of SAGE. It addresses the issues related to using the JAVA threading model to provide this level of concurrency to the agent and provides an alternative approach that is based on an eventdriven, concurrent and user-scalable multi-tasking model for the agent's internal model. The findings of this paper show that our proposed approach is suitable for providing an efficient and lightweight concurrent task model for SA GE and considerably outweighs the performance of multithreaded tasking model based on JAVA in terms of throughput and efficiency. This has been illustrated using the practical implementation and evaluation of both models. © 2004 IEEE.

Impact and interest:

0 citations in Scopus
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 93920
Item Type: Conference Paper
Refereed: Yes
DOI: 10.1109/INMIC.2004.1492957
ISBN: 0780386809
Divisions: Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
Current > Schools > School of Public Health & Social Work
Copyright Owner: Copyright 2004 IEEE
Deposited On: 19 Apr 2016 23:59
Last Modified: 19 Apr 2016 23:59

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page