Heterogeneous computing is a promising solution to scale the performance of computing systems maintaining energy and power efficiency. Managing such resources is, however, complex and it requires smart resource allocation strategies in both embedded and high-performance systems. In this short paper, we propose a game theory approach to allocate heterogeneous resources to applications, with a focus on performance, power, and energy requirements. The game congestion model has been selected and a cost function designed. The proposed allocation strategy is then evaluated by performing a preliminary experimental evaluation.

A Game Theory Approach to Heterogeneous Resource Management: Work-in-Progress

Lara Premi;Federico Reghenzani;Giuseppe Massari;William Fornaciari
2020

Abstract

Heterogeneous computing is a promising solution to scale the performance of computing systems maintaining energy and power efficiency. Managing such resources is, however, complex and it requires smart resource allocation strategies in both embedded and high-performance systems. In this short paper, we propose a game theory approach to allocate heterogeneous resources to applications, with a focus on performance, power, and energy requirements. The game congestion model has been selected and a cost function designed. The proposed allocation strategy is then evaluated by performing a preliminary experimental evaluation.
Proceedings of the 2020 International Conference on Embedded Software (EMSOFT)
embedded systems, game theory, resource management
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/1145570
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