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Green Cloud Meta-Scheduling

A Flexible and Automatic Approach

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Abstract

This article aims to evaluate the flexibility of GreenMACC (Metascheduling Green Architecture to Provide Quality of Service in Cloud Computing). The GreenMACC has a module called LRAM (Local Resource Allocation Manager) to automate the execution of all scheduling policies implemented in the architecture. This module enables the Meta-scheduler automatically adjust for each type of service requested by the user of a private cloud. Due to this function, can be ensure the most appropriate behavior to the principles of GreenIT while worrying about the quality of service. In this paper is shown the importance of the LRAM on GreenMACC. This article is also shown how to include a new policy in GreenMACC in a way that identifies the LRAM and automatically use. Through the performance evaluation of the new policy included it could be concluded that the GreenMACC is a flexible, reliable architecture and the LRAM module enables the automation of choosing the best scheduling mechanism in a private cloud.

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Authors and Affiliations

  1. Federal University of Alfenas, Poços de Caldas, MG, Brazil

    Osvaldo Adilson de Carvalho Junior

  2. University of São Paulo, São Carlos, SP, Brazil

    Osvaldo Adilson de Carvalho Junior, Sarita Mazzini Bruschi, Regina Helena Carlucci Santana & Marcos José Santana

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  1. Osvaldo Adilson de Carvalho Junior
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  2. Sarita Mazzini Bruschi
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  3. Regina Helena Carlucci Santana
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  4. Marcos José Santana
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Correspondence to Osvaldo Adilson de Carvalho Junior.

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de Carvalho Junior, O.A., Bruschi, S.M., Santana, R.H.C. et al. Green Cloud Meta-Scheduling. J Grid Computing 14, 109–126 (2016). https://doi.org/10.1007/s10723-015-9333-z

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  • DOI: https://doi.org/10.1007/s10723-015-9333-z

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