Server Consolidation: An Approach to Make Data Centers Energy Efficient and Green

Uddin, Mueen; Rahman, Azizah Abdul

doi:10.14299/ijser.2010.01.002

Cited by 47 publications

(29 citation statements)

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“…As described in paper [41], about 30% of energy spent in data centre, is on maintaining the idle times. Therefore, efficiency of resource and energy utilization can be enhanced by considering the EC factor.…”

Section: Energy Saving Strategies On Vmsmentioning

confidence: 99%

A Comprehensive Survey on SLA Compliant Energy Aware Resource Allocation in Cloud Datacenters

Anitha

Raj

2018

IJERMT

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Abstract:loud Computing has achieved immense popularity due to its unmatched benefits and characteristics. With its increasing popularity and round the clock demand, cloud based data centers often suffer with problems due to over-usage of resources or under-usage of capable servers that ultimately leads to wastage of energy and overall elevated cost of operation. Virtualization plays a key role in providing cost effective solution to service users. But on datacenters, load balancing and scheduling techniques remain inevitable to provide better Quality of Service to the service users and maintenance of energy efficient operations in datacenters. Energy-Aware resource allocation and job scheduling mechanisms in VMs has helped datacenter providers to reduce their cost incurrence through predictive job scheduling and load balancing. But it is quite difficult for any SLA oriented systems to maintain equilibrium between QoS and cost incurrence while considering their legal assurance of quality, as there should not be any violations in their service agreement. This paper presents some state-of-the-art works by various researchers and experts in the arena of cloud computing systems and particularly emphasizes on energy aware resource allocations, job scheduling techniques, load balancing and price prediction methods. Comparisons are made to demonstrate usefulness of the mechanisms in different scenarios. Keywords: Cloud Computing, Energy-Aware Resource Allocation, VM Migration, Load Balancing, Price Prediction I. INTRODUCTIONCloud computing came in as a game changer for modern IT enterprises. Instead of constructing and maintaining an in-house IT infrastructure, the cloud computing enabled trouble-free outsourcing of IT infrastructure to third party service providers for their computational needs [1]. The clouds refer to a set of large scale out-sourcing hardware infrastructure, known as datacenters, which has the ability to accommodate several thousands of servers. More often, these servers will be run with the help of virtualized operating systems and thus, they are known as virtual machines (VMs). Thus, these cloud based datacenters supports wide array of system application and offers a concept of unlimited computing resources to its users which are later billed as per usage or subscription plans. Although these cloud based server provide numerous benefits to its users through its virtualized infrastructures, they are prone to few overhead and maintenance costs. Even though, the cloud datacenters have several in built management techniques, like on-demand resource scheduling, energy management, etc, they suffer from few issues which restricts their wide spread acceptance [2], [3].Essentially, the cloud based datacenters must guarantee superior Quality of Service (QoS) and reliability in order to make them commercially successful in the field of computing infrastructure. The assurance and guarantees made by these cloud datacenters are recorded on paper, known as Service Level Agreements (SLAs). The SLA are quite essen...

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Section: Energy Saving Strategies On Vmsmentioning

confidence: 99%

A Comprehensive Survey on SLA Compliant Energy Aware Resource Allocation in Cloud Datacenters

Anitha

Raj

2018

IJERMT

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“…Virtualization is used to achieve energy efficiency in grids and cloud datacenters through increased utilization that can be achieved with server consolidation [27] through Virtual Machine (VM) migration and with the use of energy efficient scheduling approaches [21]. Various studies shows that virtualization raises the utilization ratio up to 50%, save more energy 4 (through consolidation) and consequently drop the CO 2 emissions [28] [29]. Similarly, resource consolidation moves the servers around to reduce the number of active resources and can switch off some underutilized resources to save the resource idle energy.…”

Section: Cooling Systems Including Computer Room Air Conditioning Unimentioning

confidence: 99%

“…Largely, datacenters are overwhelmed with many thousands of servers consuming enormous amount of energy, remains almost 30% idle [24] and are hardly utilized only 10% to 40% [29]. The scheduling and load balancing methods which are suggested for system level energy efficiency [section 4 ], are also used at high level resource management in compute clusters, grids and large scale cloud datacenters to manage the computational resources more efficiently.…”

Section: Taxonomy Of Energy Efficient Computingmentioning

confidence: 99%

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Energy efficient computing, clusters, grids and clouds: A taxonomy and survey

Zakarya

Gillam

2017

Sustainable Computing: Informatics and Systems

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“…Embora essa inovação tenha sido desenvolvida originalmente para poupar custos com má-quinas e espaço físico, ela se revelou vantajosa também para a economia de recursos naturais (UDDIN; RAHMAN, 2010).…”

Section: Ti Verdeunclassified

Simulação computacional para avaliação do impacto ambiental gerado pela tecnologia de informação

Kroth

Simonetto

Löbler

et al. 2016

Revista PO: R. Eletr. de Eng. de Produção e Correlatas

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Resumo: Em um processo irreversível, pessoas e empresas utilizam as Tecnologias de Informação (TI) em diferentes atividades no dia a dia. Essa demanda leva a indústria de tecnologia a uma busca incessante pela inovação e o resultado é um ciclo de melhorias, novidades e o consequente aumento do descarte desses componentes no meio ambiente bem como o aumento do consumo de energia e a emissão de CO² na atmosfera. Nesse contexto, a TI Verde surge como uma alternativa para minimizar os efeitos nocivos ao meio ambiente provocados pela fabricação, uso intensivo e descarte da TI. Uma das barreiras que levam as empresas a adiarem a adoção de práticas da TI Verde é o custo envolvido na implantação e a não garantia do retorno esperado. Assim, fazendo uso da própria TI, através da metodologia de Dinâmica de Sistemas e do software Vensim (VENTANA SYSTEMS, 2015), este trabalho buscou simular a redução do impacto ambiental que a implantação de práticas da TI Verde, tais como a virtualização de servidores e o desligamento dos equipamentos quando não estão em uso, podem trazer, ao longo de dez anos, em uma Unidade de TI de uma universidade. Os resultados demonstram que, com a adoção de práticas simples, é possível atingir uma redução de até 62% no consumo de energia e emissão de CO².Palavras-Chave: Tecnologia da Informação. TI Verde. Modelagem. Simulação Computacional. Dinâmica de Sistemas. Abstract:In an irreversible process, people and businesses use Information Technology (IT) in different activities on a daily basis. This demand leads the technology industry to a relentless pursuit of innovation and the result is a cycle of improvements, innovations and the consequent increase in the disposal of these components into the environment as well as increased energy consumption and the emission of CO² in the atmosphere. In this context, the Green IT comes up as an alternative to minimize the harmful effects to the environment caused by the manufacturing, intensive use and disposal of IT. One of the barriers that lead companies to delay the adoption of Green IT practices is the cost involved in deploying it and that there are no return guarantee. Thus, making use of IT itself through the system dynamics methodology and Vensim software (VENTANA SYSTEMS, 2015), this study aimed to simulate the reducing of the environmental impact that the implementation of Green IT practices, such as server virtualization and switching off equipment when not in use, can bring over ten years in an IT unit of a university. The results demonstrate that, with very simple practices adoption, it is possible to get a reduction of up to 62% in energy consumption and emission of CO².

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Server Consolidation: An Approach to Make Data Centers Energy Efficient and Green

Cited by 47 publications

References 1 publication

A Comprehensive Survey on SLA Compliant Energy Aware Resource Allocation in Cloud Datacenters

A Comprehensive Survey on SLA Compliant Energy Aware Resource Allocation in Cloud Datacenters

Energy efficient computing, clusters, grids and clouds: A taxonomy and survey

Simulação computacional para avaliação do impacto ambiental gerado pela tecnologia de informação

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