Abstract: Cloud computing is shared configurable resources which are provided to computers and other devices as services and it is an internet-based computing. With the rapid growth of cloud computing, it is quickly becoming popular in recent years. Many leading industrial organizations such as Amazon, IBM and HP started to offer cloud services to various consumers. With the rising popularity of cloud computing, how to build high-quality cloud applications becomes required research problem. QoS rankings gives valuable information for selection of optimal cloud service from a set of functionally equivalent service candidates. To obtain QoS values, real-world invocations on the service candidates are usually required and it’s time-consuming and expensive. To avoid this expensive and time consuming real world service invocations, a novel framework for ranking of cloud services is proposed by taking the advantage of the past service usage experiences of other consumers. QoS ranking To predict the QoS rankings directly, two personalized prediction approaches are proposed in this paper. Experiments are conducted employing real world QoS data and the results show that our approaches provides best result then any other competing approaches.

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[Takhellambam Martin Singh, MTech Md Nurul Hasan, MTech Subhranshu sekharTripathy, MTech Syed Irfan Yaqoob,MTech (2014); Better Ranking Of Qos Feedback System in Cloud Computing Int. J. of Adv. Res. 2 (4). 0] (ISSN 2320-5407). www.journalijar.com

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