A novel agent based autonomous and service composition framework for cost optimization of resource provisioning in cloud computing

Singh, Aarti; Juneja, Dimple; Malhotra, Manisha

doi:10.1016/j.jksuci.2015.09.001

Cited by 72 publications

(36 citation statements)

References 24 publications

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“…When the workload is admitted, the most important work or project is communicated with the preparations of the parts of the applications which implies the performance that once more lie in the arrangements' objectives of the cloud user. For creating the best and appropriate provisioning system, it is essential to sort or pinpoint the assortment of the cloud workloads and furthermore the nature of the administrations included too [7].…”

Section: A Cloud Workload Managementmentioning

confidence: 99%

“…Due to lack of required and appropriate resources the cloud resource provisioning becomes a complicated task. In different distributed system the method of resource provisioning frequently contain the objectives and ways of share the workload on different resources and also enhance the amount of resource consumption and also minimize the workload execution time [7]. In cloud application the quality of services contains the provisioning of suitable resources for cloud workload.…”

Section: Resource Provisioningmentioning

confidence: 99%

“…Aarti Singh et al [7] proposes another Agent based Automated Service Composition (A2SC) calculation containing demand handling and computerized benefit organization stages and isn't in charge of seeking thorough administrations yet in addition considers lessening the cost of virtual machines which are devoured by on-request benefits as it were.…”

Section: B Cost Based Resource Provisioningmentioning

confidence: 99%

“…It represents dynamic provisioning on pay per use basis of computing services. Different pay per use stand services like software as services in information technology industry, platform as a services and infrastructure as services provides by the cloud computing [7]. Table I describes these cloud service models and their description.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Investigating Methods of Resource Provisioning Mechanisms in Cloud: A Review

Malik¹,

Anwar²,

Ilyas³

et al. 2018

ijacsa

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Abstract-Delivering information through cloud computing become a modern computation. For this purpose, electronic device is required to access with an active web server. For delivering different resources, the cloud supplier provides computing power for the cloud users to organize their multiple type of application at any time on different platforms. In cloud computing, the main drawback is relevant to the best use of resources as well as resource provisioning. In cloud computing there is a lack of desired resources that is why the cloud resource provision becomes a daring work. To maintain the quality of services, the provisioning of reasonable resources is need of workloads. The main problem is to find the appropriate workload that depends on the cloud user that is related to resource pair application requirements. This paper reveals the cloud resource provisioning and identification in general and in specific, respectively. In this paper, a methodical analysis of resource provisioning in cloud computing is presented, in which resource provisioning, different types of resource provisioning mechanisms and their comparisons, and benefits are described.

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Section: A Cloud Workload Managementmentioning

confidence: 99%

Section: Resource Provisioningmentioning

confidence: 99%

Section: B Cost Based Resource Provisioningmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Investigating Methods of Resource Provisioning Mechanisms in Cloud: A Review

Malik¹,

Anwar²,

Ilyas³

et al. 2018

ijacsa

View full text Add to dashboard Cite

show abstract

“…B a m a k a n et al [11] improved the performance of Intrusion detection system by implementing the simple optimization technique-PSO and multiple criteria linear programming. S i n g h, J u n e j a and M a l h o t r a [12] developed a new Agentbased Automated Service Composition Algorithm which includes request processing and automated service composition phases, thereby optimizing the resource allocation and reducing the cost of virtual machines. J i a n g et al [16] have worked on high energy efficient routing in energy-efficient networks for cloud computing and optimized the link sleeping method to increase the number of sleeping links.…”

Section: Introductionmentioning

confidence: 99%