A Workflow for Fast Evaluation of Mapping Heuristics Targeting Cloud Infrastructures - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier Access content directly
Conference Papers Year : 2016

A Workflow for Fast Evaluation of Mapping Heuristics Targeting Cloud Infrastructures

Abstract

Resource allocation is today an integral part of cloud infrastructures management to efficiently exploit resources. Cloud infrastructures centers generally use custom built heuristics to define the resource allocations. It is an immediate requirement for the management tools of these centers to have a fast yet reasonably accurate simulation and evaluation platform to define the resource allocation for cloud applications. This work proposes a framework allowing users to easily specify mappings for cloud applications described in the AMALTHEA format used in the context of the DreamCloud European project and to assess the quality for these mappings. The two quality metrics provided by the framework are execution time and energy consumption.
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Dates and versions

lirmm-01265874 , version 1 (01-02-2016)

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Roman Ursu, Khalid Latif, David Novo, Manuel Selva, Abdoulaye Gamatié, et al.. A Workflow for Fast Evaluation of Mapping Heuristics Targeting Cloud Infrastructures. DREAMCloud: Dynamic Resource Allocation and Management in Embedded, High Performance and Cloud Computing, Jan 2016, Prague, Czech Republic. ⟨lirmm-01265874⟩
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