Energy saving approaches for Green Cloud Computing: A review

Wadhwa, Bharti; Verma, Amandeep

doi:10.1109/raecs.2014.6799608

Cited by 26 publications

(12 citation statements)

References 12 publications

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“…Bharti Wadhwa et al [4] done a review on different approaches to save energy consumption in green cloud computing. This paper describes the hard work of different researchers to minimize the carbon footprints emissions by techniques used for virtualization, VM migration and scheduling.…”

Section: Related Workmentioning

confidence: 99%

A Proposed Approach for Efficient Energy Utilization in Cloud Data Center

Goyal¹,

Chahal²

2015

IJCA

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Cloud computing has transmuted the IT industry on the whole and made easy to access the resources from anywhere and at anytime. These resources can be accessed as a service rather than as a product. Clients pay for the service used as per their requirement. The huge demand of cloud computing has given rise to the creation of hefty amount of data centers. These data centers consist of different types of resources and each resource is bound to its own power consumption scenario. Besides a number of benefits; Cloud data centers also pose the problem of large amount of power consumption. Lots of techniques and methods have been developed to solve this issue out of which load balancing is one such technique. This paper discusses load balancing using a nature inspired algorithm known as Particle Swarm Optimization (PSO) algorithm. A different nature inspired algorithm known as Firefly Algorithm (FA) is proposed to solve the above said issue.

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Section: Related Workmentioning

confidence: 99%

A Proposed Approach for Efficient Energy Utilization in Cloud Data Center

Goyal¹,

Chahal²

2015

IJCA

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“…For cloud users, replacing high-powered computers with low-powered devices will improve energy efficiency. Methods for reducing energy consumption might be simple techniques such as ensuring energy management for servers in the cloud, such as turning them on and off or putting them to sleep [68,79], or more complex techniques such as auto-scaling infrastructure to create greener computing environments [81] or the use of virtualization techniques for better resource management [29,40,43,45,61,78]. Green cloud computing development is influenced by green data center development.…”

Section: Discussion Of the Topics In The Review Articlesmentioning

confidence: 99%

Green Cloud Computing: A Literature Survey

Radu

2017

Symmetry

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Cloud computing is a dynamic field of information and communication technologies (ICTs), introducing new challenges for environmental protection. Cloud computing technologies have a variety of application domains, since they offer scalability, are reliable and trustworthy, and offer high performance at relatively low cost. The cloud computing revolution is redesigning modern networking, and offering promising environmental protection prospects as well as economic and technological advantages. These technologies have the potential to improve energy efficiency and to reduce carbon footprints and (e-)waste. These features can transform cloud computing into green cloud computing. In this survey, we review the main achievements of green cloud computing. First, an overview of cloud computing is given. Then, recent studies and developments are summarized, and environmental issues are specifically addressed. Finally, future research directions and open problems regarding green cloud computing are presented. This survey is intended to serve as up-to-date guidance for research with respect to green cloud computing.

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“…Green cloud computing are the on-demand services because its shares big resource pools that user can buy on request or requirement. In the paper, Wadhwa and Verma [11] have reviewed about the various researchers and their strategies to make cloud computing more energy efficient, to reduce the carbon emission from the environment and found virtualization can help in utilization of resources in clouds.…”

Section: Green Cloud Computingmentioning

confidence: 99%

A Review on Energy Efficient Job Scheduling Algorithms in Green Cloud Computing

Mondal

Vijayakumar

2017

Asian J Pharm Clin Res

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Cloud computing is the hottest topic in today's world and is being used by most of the information technology companies due to its benefits in cost saving and ease of use. It is a dynamic, scalable, and pay-per-use distributed computing model. The cloud computing is aims to give access to remote and geographically distributed resources. Scheduling the job from one data center to other data center or from one region of cloud to other region is truly a testing in cloud environment. However, when data are shifted from one data center to other data center, huge amount of carbon dioxide (CO 2 ) gases emits and also consumes more power. Since energy is an important issue, that is, why green cloud computing comes into the picture. Green cloud computing can be obtained by applying various techniques and algorithms, which use less power and emits less CO 2 gas, that is, damaging the environment. Cloud provides many facilities to its tenants such as sharing of resources for different purposes. In cloud domain, job scheduling is one of the biggest and hypothetical problems. Numerous investigations for scheduling a job and efforts carried out in this regard because it is one of the main jobs to get the most profit. Scheduling can decrease the power consumption. So many algorithms had been proposed for this purpose, and a lot more had to be done. In the paper, intends to present a variety of energy-efficient job scheduling algorithms along with performance comparison analysis of various preexisting algorithms for scheduling jobs to provide energy efficiency in green cloud computing.

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Energy saving approaches for Green Cloud Computing: A review

Cited by 26 publications

References 12 publications

A Proposed Approach for Efficient Energy Utilization in Cloud Data Center

A Proposed Approach for Efficient Energy Utilization in Cloud Data Center

Green Cloud Computing: A Literature Survey

A Review on Energy Efficient Job Scheduling Algorithms in Green Cloud Computing

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