A framework of using cooperating mobile agents to achieve load sharing in distributed Web server groups

This paper studies the issues of using mobile agents to achieve load sharing for network services in a wide-area network environment such as the Internet. Traditionally, load sharing algorithms are based on the message-passing paradigm. In this paper, we propose the use of mobile agents as an aid to design fully distributed and dynamic load-sharing mechanisms for wide-area network services, which provide several advantages over the pure message passing-based approach. A framework (called MALS-mobile agent-enabled load sharing) for structuring and designing load sharing in wide-area network services is presented. In particular, we describe the design of a mobile agent-enabled distributed dynamic load sharing scheme within the MALS framework. A simulation environment of the load sharing protocol is being implemented using Aglet/spl trade/, a Java-compliant mobile agent platform from IBM. Preliminary experimental results demonstrated that the proposed framework is effective.

[1]  Wanlei Zhou.  Proceedings fifth International Conference on algorithms and architectures for parallel processing , 2002 .

[2]  Ahmed Karmouch,et al.  Mobile software agents: an overview , 1998, IEEE Commun. Mag..

[3]  Donald F. Towsley,et al.  Adaptive load sharing in heterogeneous systems , 1989, [1989] Proceedings. The 9th International Conference on Distributed Computing Systems.

[4]  Edward D. Lazowska,et al.  A Comparison of Receiver-Initiated and Sender-Initiated Adaptive Load Sharing , 1986, Perform. Evaluation.

[5]  Jingsha He.  An architecture for wide area network load balancing , 2000, 2000 IEEE International Conference on Communications. ICC 2000. Global Convergence Through Communications. Conference Record.

[6]  Stefan Fünfrocken,et al.  Integrating Java-based mobile agents into Web servers under security concerns , 1998, Proceedings of the Thirty-First Hawaii International Conference on System Sciences.

[7]  Mukesh Singhal,et al.  Load distributing for locally distributed systems , 1992, Computer.

[8]  Danny B. Lange,et al.  Programming and Deploying Java¿ Mobile Agents with Aglets¿ , 1998 .

[9]  George Cybenko,et al.  The Traveling Agent Problem , 2001, Math. Control. Signals Syst..

[10]  Jiannong Cao,et al.  Direct execution simulation of load balancing algorithms with real workload distribution , 2000, Journal of Systems and Software.

[11]  Philip S. Yu,et al.  Geographic load balancing for scalable distributed Web systems , 2000, Proceedings 8th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (Cat. No.PR00728).

[12]  Yung-Terng Wang,et al.  Load Sharing in Distributed Systems , 1985, IEEE Transactions on Computers.

[13]  Danny B. Lange,et al.  Seven good reasons for mobile agents , 1999, CACM.

[14]  Ajoy Kumar Datta,et al.  Randomized mobile agent based routing in wireless networks , 2000, SIROCCO.

[15]  Jie Wu,et al.  Achieving replication consistency using cooperating mobile agents , 2001, Proceedings International Conference on Parallel Processing Workshops.

[16]  Thomas L. Casavant,et al.  A Taxonomy of Scheduling in General-Purpose Distributed Computing Systems , 1988, IEEE Trans. Software Eng..

[17]  Phillip Krueger,et al.  A comparison of preemptive and non-preemptive load distributing , 1988, [1988] Proceedings. The 8th International Conference on Distributed.

[18]  John Bigham,et al.  Software Agents for Future Communication Systems , 1999, Springer Berlin Heidelberg.

[19]  Jiannong Cao,et al.  Checkpointing and rollback of wide-area distributed applications using mobile agents , 2001, Proceedings 15th International Parallel and Distributed Processing Symposium. IPDPS 2001.