Network calculus for parallel processing
G. Kesidis, B. Urgaonkar, Y. Shan, S. Kamarava, J. Liebeherr
TL;DR
This paper explores the application of network calculus to analyze and optimize parallel processing systems like MapReduce, providing a new analytical framework for performance evaluation.
Contribution
It introduces the use of network calculus as a novel approach for analyzing parallel processing systems such as MapReduce.
Findings
Preliminary results demonstrate the feasibility of network calculus in this context.
Potential for improved performance analysis and system optimization.
Framework sets the stage for further research in this area.
Abstract
In this note, we present preliminary results on the use of "network calculus" for parallel processing systems, specifically MapReduce.
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Taxonomy
TopicsCloud Computing and Resource Management · Graph Theory and Algorithms · Quantum Computing Algorithms and Architecture