Self-Aggregation Techniques for Load Balancing in Distributed Systems

Authors:
Elisabetta Di Nitto;Daniele Dubois;Raffaela Mirandola;Fabrice Saffre;Richard Tateson
Affiliations:
-;-;-;-;-
Venue:
SASO '08 Proceedings of the 2008 Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems
Year:
2008

Citing 0
Cited 3

Applying self-aggregation to load balancing: experimental results

Proceedings of the 3rd International Conference on Bio-Inspired Models of Network, Information and Computing Sytems
Dual time-scale distributed capacity allocation and load redirect algorithms for cloud systems

Journal of Parallel and Distributed Computing
Efficient dynamic itinerary and memory allocation for mobile agents

Proceedings of the International Conference on Advances in Computing, Communications and Informatics

Quantified Score

Hi-index	0.00

Visualization

Abstract

One of the today issues in software engineering is to find new effective ways to deal intelligently with the increasing complexity of distributed computing systems. In this context a crucial role is played by the balancing of the work load among all nodes in a system composed of interconnected nodes that enter and exit the system without following any rule. To address this issue, we are experimenting with the usage of autonomic self-aggregation techniques that rewire the system in groups of homogeneous nodes that are then able to balance the load among each others using classical techniques.