Probabilistic analysis of context caching in Internet of Things applications

Khargharia, H. S. and Jayaraman, P. P. and Banerjee, A. and Zaslavsky, A. and Hassani, A. and Abken, A. and Kumar, Abhinav (2022) Probabilistic analysis of context caching in Internet of Things applications. In: 2022 IEEE International Conference on Services Computing, SCC 2022, 10 July 2022through 16 July 2022, Barcelona.

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Context caching plays an increasingly important role in delivering near real-time responses for context-aware distributed Internet of Things (IoT) applications, services and systems. A context management platform (CMP), a middleware which acts as an aggregator and redirector of contextual information to support smart IoT applications, requires adaptive context caching to process and manage enormous amounts of context stemming from IoT. In this work, we propose a novel approach to estimating the context information's demand probability, which helps improve the context retrieval performance of a CMP under near real-time constraints. The proposed approach uses context query logs and applies machine learning algorithms to estimate the context caching probability for context caching. We further use an evolutionary technique for optimising the context caching probability to improve the context retrieval performance of the CMP. We conduct an experimental evaluation using a research prototype CMP, Context-as-a-Service (CoaaS) and show that the proposed technique can significantly improve the context retrieval performance. Analysis of the experimental results showed with context caching probability optimized by evolutionary technique there is an average percentage decrease of 43.68% in the response time of CoaaS. © 2022 IEEE.

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IITH Creators:
IITH CreatorsORCiD
Kumar, Abhinav
Item Type: Conference or Workshop Item (Paper)
Additional Information: Support for this research project from the Australian Research Council (ARC) Discovery Project Grant DP200102299 is thankfully acknowledged.
Uncontrolled Keywords: context aware; context caching; context management platform
Subjects: Electrical Engineering
Divisions: Department of Electrical Engineering
Depositing User: . LibTrainee 2021
Date Deposited: 29 Sep 2022 11:07
Last Modified: 29 Sep 2022 11:07
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