Geometric Bounds: a Non-Iterative Analysis Technique for Closed Queueing Networks

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Provided by: Institute of Electrical & Electronic Engineers
Topic: Big Data
Format: PDF
The authors propose the Geometric Bounds (GB), a new family of fast and accurate non-iterative bounds on closed queuing network performance metrics that can be used in the on-line optimization of distributed applications. Compared to state-of-the-art techniques such as the Balanced Job Bounds (BJB), the GB achieve higher accuracy at similar computational costs, limiting the worst-case bounding error typically within 5%-13% when for the BJB it is usually in the range 15%-35%. Optimization problems that are solved with the GB bounds return solutions that are much closer to the global optimum than with existing bounds.
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