“…The Trader aims to try to negotiate with the user so that the service will be attended by analyzing what is most important to Fig. 1 Architectural Overview of GreenMACC [3] the user (response time, energy consumption, etc.). This process is called Green Trading.…”
Section: Architecture and Data Flowmentioning
confidence: 99%
“…The lines Fig. 3 Values Analyzed by the LRAM for Decision Making [3] that separate the squares are defined according to two different criteria, one for each line. The parallel line on the x axis specifies the maximum limit of the deadline established in the users contract.…”
“…The GreenMACC [3] is an extension of the MACC that enables the offering of services provided in the cloud using green scheduling policies in set of policies that can provide QoS transparent to the user. Its data stream is different because it was designed with a private cloud.…”
Section: Greenmacc -Green Metascheduler Architecture To Provide Qos Imentioning
confidence: 99%
“…These points are called (PADEVE), Pontos de Análise para Decisão no Escalonamento VErde in portuguese. these points are: processor, Network, Refrigeration and issuance of CO 2 [3].…”
Section: Introductionmentioning
confidence: 99%
“…The GreenMACC [3] is an extension of MACC (Metascheduler Architecture to provide QoS in Cloud Computing) [4], whose main aim is to schedule virtual machines to hosts in order to achieve the SLA (Service Level Agreement) signed with the client. On the other hand, the GreenMACC, enables not only the use of scheduling policies with QoS in mind, but also the use of policies whose main objective is green computing in a private cloud.…”
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.
“…The Trader aims to try to negotiate with the user so that the service will be attended by analyzing what is most important to Fig. 1 Architectural Overview of GreenMACC [3] the user (response time, energy consumption, etc.). This process is called Green Trading.…”
Section: Architecture and Data Flowmentioning
confidence: 99%
“…The lines Fig. 3 Values Analyzed by the LRAM for Decision Making [3] that separate the squares are defined according to two different criteria, one for each line. The parallel line on the x axis specifies the maximum limit of the deadline established in the users contract.…”
“…The GreenMACC [3] is an extension of the MACC that enables the offering of services provided in the cloud using green scheduling policies in set of policies that can provide QoS transparent to the user. Its data stream is different because it was designed with a private cloud.…”
Section: Greenmacc -Green Metascheduler Architecture To Provide Qos Imentioning
confidence: 99%
“…These points are called (PADEVE), Pontos de Análise para Decisão no Escalonamento VErde in portuguese. these points are: processor, Network, Refrigeration and issuance of CO 2 [3].…”
Section: Introductionmentioning
confidence: 99%
“…The GreenMACC [3] is an extension of MACC (Metascheduler Architecture to provide QoS in Cloud Computing) [4], whose main aim is to schedule virtual machines to hosts in order to achieve the SLA (Service Level Agreement) signed with the client. On the other hand, the GreenMACC, enables not only the use of scheduling policies with QoS in mind, but also the use of policies whose main objective is green computing in a private cloud.…”
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.
The aim of this paper is to propose and evaluate GreenMACC (Green Metascheduler Architecture to Provide QoS in Cloud Computing), an extension of the MACC architecture (Metascheduler Architecture to provide QoS in Cloud Computing) which uses greenIT techniques to provide Quality of Service. The paper provides an evaluation of the performance of the policies in the four stages of scheduling focused on energy consumption and average response time. The results presented confirm the consistency of the proposal as it controls energy consumption and the quality of services requested by different users of a large-scale private cloud.
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