Carbon efficient VM placement and migration technique for green federated cloud datacenters

Wadhwa, Bharti; Verma, Amandeep

doi:10.1109/icacci.2014.6968597

Cited by 11 publications

(6 citation statements)

References 11 publications

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“…Wadhwa and Verma [6] proposed the carbon-di-oxide (CO 2 ) emission rate-based new technique to reduce energy consumption in data centers. Te distributed data centers used in this technique have diferent energy sources and carbon footprint rates that afected the VM placement.…”

Section: Related Workmentioning

confidence: 99%

“…. , J N 􏼈 􏼉 (2) Compute the size of each job (size) (3) Arrange the jobs in descending order based on size (4) Compute max size and min size (5) Assign (J max size ) ← High priority and (J min size ) ← Low priority (6) Compute VM capacity (cap vm ) (7) Load high priority job to the VM with maximum capacity (8) For J i i � 1, 2, . .…”

Section: Exigency-based Migrationmentioning

confidence: 99%

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Preserving Resource Handiness and Exigency-Based Migration Algorithm (PRH-EM) for Energy Efficient Federated Cloud Management Systems

Karthikeyan¹,

Sundaravadivazhagan

Cyriac

et al. 2023

Mobile Information Systems

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On-demand computing ability and efficient service delivery are the major benefits of cloud systems. The limitation in resource availability in single data centers causes the extraction of additional resources from the cloud providers group. The federation scheme dynamically increases resource availability in response to service requests. The dynamic increase in resource count leads to excessive energy consumption, maximum cost, and carbon footprints emission. Hence, the reduction of resources is the major requirement to construct the optimized cloud source models for profit maximization without considering energy mix and CO2. This paper proposes the novel migration method to reduce carbon emissions and energy consumption. The initial stage in the proposed work is the categorization of data centers based on the MIPS and cost prior to job allocation offers scalable and efficient services and resources to the cloud user. Then, the job with the maximum size is allotted to the VM only if its capacity is less than the cumulative capacity of data centers. A novel migration based on overutilized and underutilized levels provides the services to the user even if the particular VM fails. The proposed work offers efficient maintenance of resource availability and maximizes the profit of the cloud providers associated with the federated cloud environment. The comparative analysis of the proposed algorithm with the existing methods regarding the response time, accuracy, profit, carbon emission, and energy consumption assures the effectiveness in a confederated cloud environment.

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Section: Related Workmentioning

confidence: 99%

Section: Exigency-based Migrationmentioning

confidence: 99%

Preserving Resource Handiness and Exigency-Based Migration Algorithm (PRH-EM) for Energy Efficient Federated Cloud Management Systems

Karthikeyan¹,

Sundaravadivazhagan

Cyriac

et al. 2023

Mobile Information Systems

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“…The proposed strategy allows cloud providers to reach a balance between the energy efficiency of their infrastructures and the network quality of service they offer to their customers [16].Bharti Wadhwa et al (2014) uses the carbon footprint rate of the datacenters in distributed cloud architecture and the concept of virtual machine allocation and migration for reducing the carbon emission and energy consumption in the federated cloud system. The proposed approach reduces the carbon dioxide emission and energy consumption of federated cloud datacenters as compared to the classical scheduling approach of round robin VM scheduling in federated cloud datacenters [4].Sonika P Reddy et al (2014) presented a system that handles real-time and non-real-time tasks in an energy efficient method without compromising much on neither reliability nor performance. Of the three processors, two processors i.e.…”

Section: Related Workmentioning

confidence: 99%

A Novel Approach of Task Classification and Vm Skewness in Cloud Environment

Kaur

Ghumman

2017

IJCT

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Cloud Computing is a technology that provides a platform for sharing of resources such as software, infrastructure, application and other information. Cloud Computing is being used widely all over the world, as it provides benefits to the users like cost saving and ease of use. The research work focuses on the study of task scheduling mechanism in cloud. The main goal is to reduce the power consumption by datacenters. Energy efficient scheduling of workload help to reduce the consumption of energy in datacenters thus helps in better usage of resources. An improved power saving algorithm is proposed by combining the task classification along with VM skewness algorithm with different scaling options. Skewness is used to quantify the unevenness in utilization of multiple resources on the server. Our purposed algorithm calculate the skewness factor of all Virtual Machines and based upon its value. The proposed approach is performing and shows a decrease in response time, waiting time, processing cost and overall electrical power consumed. The study can be further extended by applying the proposed algorithm on actual Cloud Computing environment and we can also integrate various energy saving technologies into data centers to reduce energy consumption.

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“…It is to be reminded that green computing is related to power efficiency, as well as cooling efficiency [8], being one of the driving forces in computing research nowadays. Furthermore, the efficient allocation of Virtual Machines (VMs) in Data Centers may also help reduce the carbon footprint related to energy consumption [9]. Therefore, the study of the occupancy rate found in some of the most widely used topologies in Data Centers may well be interesting from the point of view of green computing [10].…”

Section: Introductionmentioning

confidence: 99%

Veri Merkezi Topolojilerindeki Anahtarlama Aygıtlarında Enerji Tasarrufuna Yönelik Aritmetik Çalışma

Roig¹,

Alcaraz²,

Gilly³

et al. 2022

Politeknik Dergisi

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Carbon efficient VM placement and migration technique for green federated cloud datacenters

Cited by 11 publications

References 11 publications

Preserving Resource Handiness and Exigency-Based Migration Algorithm (PRH-EM) for Energy Efficient Federated Cloud Management Systems

Preserving Resource Handiness and Exigency-Based Migration Algorithm (PRH-EM) for Energy Efficient Federated Cloud Management Systems

A Novel Approach of Task Classification and Vm Skewness in Cloud Environment

Veri Merkezi Topolojilerindeki Anahtarlama Aygıtlarında Enerji Tasarrufuna Yönelik Aritmetik Çalışma

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