Browsing by Author "Nanath, K."

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    Cloud performance evaluation using fuzzy logic
    (2015) Saxena, G.; Nanath, K.
    Cloud computing is the latest form of evolution of distributed computing which eradicates the need to own the expensive hardware resources, as the resources can be easily obtained on cloud in pay-per-usage manner. This proves to be very cost efficient to users as they no longer need to depend on the hardware resources to satisfy their needs. For measuring cloud performance there exist a few approaches, yet there is scope for experimenting and developing new approaches for evaluating cloud efficiency. This paper attempts to measure cloud performance by using fuzzy logic by taking into consideration different performance parameters of the cloud. A metric for analyzing the performance of the cloud is derived upon, by considering various performance parameters and proves to be helpful in comparing various cloud services. The method proposed in this paper is very flexible and easy to understand. The results provide useful information and directions for further research in this new emerging field. � 2015 IEEE.
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    Cloud performance evaluation using fuzzy logic
    (Institute of Electrical and Electronics Engineers Inc., 2015) Saxena, G.; Nanath, K.
    Cloud computing is the latest form of evolution of distributed computing which eradicates the need to own the expensive hardware resources, as the resources can be easily obtained on cloud in pay-per-usage manner. This proves to be very cost efficient to users as they no longer need to depend on the hardware resources to satisfy their needs. For measuring cloud performance there exist a few approaches, yet there is scope for experimenting and developing new approaches for evaluating cloud efficiency. This paper attempts to measure cloud performance by using fuzzy logic by taking into consideration different performance parameters of the cloud. A metric for analyzing the performance of the cloud is derived upon, by considering various performance parameters and proves to be helpful in comparing various cloud services. The method proposed in this paper is very flexible and easy to understand. The results provide useful information and directions for further research in this new emerging field. © 2015 IEEE.