Green Cloud Meta-Scheduling: a flexible and automatic approach

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\ud 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\ud 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\ud 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.FAPESPCNPqCAPE

Green metascheduler architecture to provide QoS in cloud computing

The aim of this paper is to propose and evaluate GreenMACC (Green Metascheduler Ar-\ud chitecture to Provide QoS in Cloud Computing), an extension of the MACC architecture\ud (Metascheduler Architecture to provide QoS in Cloud Computing) which uses greenIT\ud techniques to provide Quality of Service. The paper provides an evaluation of the perfor-\ud mance of the policies in the four stages of scheduling focused on energy consumption and\ud average response time. The results presented con rm the consistency of the proposal as\ud it controls energy consumption and the quality of services requested by di erent users of\ud a large-scale private cloud