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SLA – Aware Trust Model for Cloud Service Deployment

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 90 - Number 10
Year of Publication: 2014
Authors:
Shyamlal Kumawat
Deepak Tomar
10.5120/15755-4369

Shyamlal Kumawat and Deepak Tomar. Article: SLA Aware Trust Model for Cloud Service Deployment. International Journal of Computer Applications 90(10):10-15, March 2014. Full text available. BibTeX

@article{key:article,
	author = {Shyamlal Kumawat and Deepak Tomar},
	title = {Article: SLA  Aware Trust Model for Cloud Service Deployment},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {90},
	number = {10},
	pages = {10-15},
	month = {March},
	note = {Full text available}
}

Abstract

Cloud computing is changing the way IT resources are utilized. Cloud computing dynamically delivers convenient, on-demand access to shared pools of software resources, platform and hardware as a service through internet. The cloud computing model—made promising by sophisticated automation, provisioning and virtualization technologies. Users want the ability to access these services including infrastructure resources, how and when they choose. To accommodate this shift in the consumption model technology has to deal with the security, compatibility and trust issues associated with delivering that convenience to application business owners, developers and users. Out of these issues, trust has attracted extensive attention in Cloud computing as a solution to enhance the security. This paper proposes a trusted computing technology through a "Service Level Agreement (SLA) - Aware Trust Model" to guarantee various Key Performance Indicators (KPIs) of cloud computing. The direct trust of cloud entities is computed on basis of the interaction evidences in past and sustained on its present performances. Various SLA parameters between consumer and provider are considered in trust computation and compliance process. The simulations are performed using CloudSim framework and experimental results show that the proposed model is effective and extensible.

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