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V. Sesum-Cavic, E. Kühn:
"Applying swarm intelligence algorithms for dynamic load balancing to a Cloud Based Call Center";
Poster: 4th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2010), Budapest, Hungary; 2010-09-27 - 2010-10-01; in: "4th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, IEEE/SASO", IEEE Computer Society, (2010), ISBN: 978-0-7695-4232-4; 255 - 256.

Load-Balancing is a significant problem in heterogeneous distributed systems. Nowadays we face an extreme growth of computer systems and their complexities requiring advanced intelligent solutions for load-balancing that lead to autonomic self-organizing infrastructures. There is still a need to prove that real use cases can benefit from self-* approaches. We developed a pattern, called SILBA, for such an infrastructure based on decentralized control, intelligent and exchangeable policies for load-balancing, and black-board based communication mechanisms. Different types of algorithms (both intelligent and unintelligent) were plugged into SILBA. In this paper, we present one particular use-case - a Call Center that is operated in a Cloud environment.