Systematic Literature Survey using Quality Parameter for Cloud Computing
Preeti Sirohi1, Amit Agarwal2, Piyush Maheshwari3

1Preeti Sirohi, Department of Computer Science, Institute of Management Studies, Ghaziabad (Uttar Pradesh), India.
2Amit Agarwal, Department of Computer Science, University of Petroleum and Energy Studies, Dehradun (Uttarakhand), India.
3Piyush Maheshwari, Department of Computer Science, Amity University Dubai, Dubai.
Manuscript received on 27 March 2019 | Revised Manuscript received on 04 April 2019 | Manuscript Published on 12 April 2019 | PP: 155-158 | Volume-7 Issue-6C April 2019 | Retrieval Number: F90480476C19/2019©BEIESP
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Abstract: Cloud Computing technology provides on-demand services to its consumer. This encourages the cloud service providers of offer variety of services to its users. The increasing demand of cloud services has brought several cloud providers in the market offering services having different Quality of services parameters. The user face the challenge in selecting the right services which could meet their requirements. The service selection is therefore a complicated process and is considered an NP hard problem. In order to solve the service selection problem there are various techniques, frameworks and algorithms which are proposed and designed for assisting cloud service selection. In this paper, we explored basics of cloud computing and different types of service selection techniques which are effective in cloud technology. These techniques are classified into multi criteria decision making, trust based, optimization techniques and others. The comparisons among various proposed work of the author are discussed for bringing more clarity in the topic.
Keywords: Cloud Computing, Service Selection, Algorithm.
Scope of the Article: Cloud Computing