Green Cloud Meta-Scheduling

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 architec...

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Bibliographic Details
Published in:Journal of grid computing 2016-03, Vol.14 (1), p.109-126
Main Authors: Junior, Osvaldo Adilson de Carvalho, Bruschi, Sarita Mazzini, Santana, Regina Helena Carlucci, Santana, Marcos Jose
Format: Article
Language:English
Subjects:
Architecture
Cloud computing
Clouds
Modules
Policies
Quality
Resource allocation
Scheduling
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Summary: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.
ISSN:1570-7873
1572-9184
DOI:10.1007/s10723-015-9333-z