July, 2007
A publication on a self-tuning hierarchical aggregation system by HP Labs researcher Praveen Yalagandula has received the best paper award at the first IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2007).
The paper, co-authored by Mike Dahlin of the University of Texas (Austin), proposes a novel self-tuning approach for deciding aggregation aggressiveness in large-scale systems based on observed read and write patterns. Scalable aggregation is a building block for many large-scale distributed applications, including monitoring and resource-scheduling.
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