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SASO
2007
IEEE

Adaptive Self-optimization in Distributed Dynamic Environments

9 years 8 months ago
Adaptive Self-optimization in Distributed Dynamic Environments
Grid and ubiquitous computing systems generally consist of a large number of networked nodes with applications implemented as distributed services or processes, respectively. A crucial point is the distribution of the services to balance the load within the system during runtime. In a former work we developed a self-optimization mechanism which shows outstanding performance in static environments where the services do not change their resource consumptions (e.g. CPU, memory, communication bandwidth). In this paper we present simulation results for the self-optimization within dynamic environments where the services change their load during runtime.
Wolfgang Trumler, Andreas Pietzowski, Benjamin Sat
Added 04 Jun 2010
Updated 04 Jun 2010
Type Conference
Year 2007
Where SASO
Authors Wolfgang Trumler, Andreas Pietzowski, Benjamin Satzger, Theo Ungerer
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