CACHE-AS-A-SERVICE MODELS FOR CLIENT-SIDE SHARED CLOUD CACHING: TECHNICAL AND ECONOMICAL PERSPECTIVES
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Abstract
Presently, cloud has been used to store large data for sharing among users imposing on organizations expensive operational costs due to cloud data loading and data access delays. These problems can be solved by using cloud caching to prevent repetitive data loading from clouds. There is a recent research study proposing the core mechanism of cloud caching at client side that can economize data loading expense, reduce bandwidth usage and data loading latency. This paper extends such research so that it becomes a cloud cache as a service (CaaS) by proposing technical and economic models for operating client-side shared CaaS, which aims for reducing cloud data loading charges and delays. Evaluation in both technical and economic performance aspects by means of simulation has turned out that the technical service model has achieved cost-saving ratios of 7.40% to 14.41%, and the economic service model has recommended the monthly service charge of CaaS to be 16.34 dollars per month by average based on studied data sets.
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References
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