Instantiation of a Generic Model for Load Balancing with Intelligent Algorithms

Authors:
Vesna Sesum-Cavic;Eva Kühn
Affiliations:
Institute for Computer Languages, Space Based Computing Group, Vienna University of Technology, Wien, 1040;Institute for Computer Languages, Space Based Computing Group, Vienna University of Technology, Wien, 1040
Venue:
IWSOS '08 Proceedings of the 3rd International Workshop on Self-Organizing Systems
Year:
2008

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Abstract

In peer-to-peer networks, an important issue is the distribution of load having an impact on the overall performance of the system. The answer could be the application of an intelligent approach that leads to autonomic self-organizing infrastructures. In this position paper, we briefly introduce a framework model for load balancing that allows various load-balancing algorithms to be plugged-in, and that uses virtual shared-memory-based communication known to be advantageous for the communication of auto nomous agents in order to enable the collaboration of load-balancing agents. As the main contribution, we show how the biological concepts of bees can be mapped to the load-balancing problem, explain why we expect that bee intelligence can outperform other (un)intelligent approaches, and present an instantiation of the model with the bee intelligence algorithm. This load-balancing scheme focuses on two main policies: a transfer and a location policy for which we suggest some improvements.