Predicting Processing Time of Real Time Transaction in Replicated DRTDBS via Middleware
Pratik Shrivastava1, Udai Shanker2
1Pratik Shrivastava, Department of CSE, M.M.M.U.T, Gorakhpur (Uttar Pradesh), India.
2Udai Shanker, Department of CSE, M.M.M.U.T, Gorakhpur (Uttar Pradesh), India.
Manuscript received on 18 June 2019 | Revised Manuscript received on 25 June 2019 | Manuscript published on 30 June 2019 | PP: 2334-2339 | Volume-8 Issue-5, June 2019 | Retrieval Number: E7853068519/19©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 performance of Replicated Distributed Real Time Database System depends on the processing time of Real Time Transaction (RTT) and mutual consistency between replicated data item. Existing research works are kernel based and primarily concentrates on maintaining mutual consistency between replicated real time and non-real time data item. However, research towards predicting the processing time of RTT is still in preliminary stage. Predicting the processing time of RTT involves different factors such as resources/data conflicts between different RTTs, the data requirements of RTT, conventional recovery algorithm, interaction with indeterministic sub-system, and mutual consistency between replicated data. The objective of this paper is to predicts the processing time of RTT with maintaining mutual consistency between replicated data item via middleware. An existing middleware [15] is extended with prediction layer that efficiently predicts the processing time of RTTs and maintains replica consistency. This proposed solution is well suited for different types of real time applications where simultaneously mutual consistency and timeliness demand of RTT must be satisfied. The experimental results show that our proposed approach is beneficial for the RDRTDBS.
Keywords: Mutual Consistency, Prediction, RDRTDBS, RTT.
Scope of the Article: Real-Time Communication