Substance Cache Mechanism in the Cloud by Using Substance Provisioning Framework
Sudeep K. Hase1, Milind B. Vaidya2

1Sudeep K. Hase, Department of Computer Science Engineering, University of Pune, AVCOE, Sangamner (Maharashtra), India.
2Prof. Milind. B. Vaidya, Department of Computer Science Engineering, University of Pune, AVCOE, Sangamner (Maharashtra), India.

Manuscript received on 21 March 2013 | Revised Manuscript received on 28 March 2013 | Manuscript published on 30 March 2013 | PP: 128-132 | Volume-2 Issue-1, March 2013 | Retrieval Number: A0529032113/2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The substance (context) information in the context-aware systems may be about human, entity and computing situations has a powerful temporal aspect i.e. for a specific period of time it remains valid. This property can be exploited in caching mechanisms that desired to exploit such locality of reference. Substance information The substance information have varying temporal validity durations and a varied spectrum of access frequencies. This variation affects the suitability of a single caching strategy and an ideal caching mechanism should utilize dynamic strategies based on the type of substance data, access patterns and quality of service heuristics and frequencies of context consuming applications. This paper investigates the various context-caching strategies and proposes a novel bipartite caching mechanism in a Cloud-based substance provisioning system. The bipartite context caching mechanism is achieved through both simulation and deployment in a Cloud platform.
Keywords: Cloud Computing, Substance (context) provisioning, Intelligent caching, substance aware clouds

Scope of the Article: Cloud Computing