Probabilistic analysis of context caching in Internet of Things applications

H. S. Khargharia, P. P. Jayaraman, A. Banerjee, A. Zaslavsky, A. Hassani, A. Abken, A. Kumar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

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.

Original languageBritish English
Title of host publicationProceedings - 2022 IEEE International Conference on Services Computing, SCC 2022
EditorsClaudio Agostino Ardagna, Hongyi Bian, Carl K. Chang, Rong N. Chang, Ernesto Damiani, Schahram Dustdar, Jordi Marco, Munindar Singh, Ernest Teniente, Robert Ward, Zhongjie Wang, Fatos Xhafa, Jia Zhang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages93-103
Number of pages11
ISBN (Electronic)9781665481465
DOIs
StatePublished - 2022
Event2022 IEEE International Conference on Services Computing, SCC 2022 - Barcelona, Spain
Duration: 10 Jul 202216 Jul 2022

Publication series

NameProceedings - 2022 IEEE International Conference on Services Computing, SCC 2022

Conference

Conference2022 IEEE International Conference on Services Computing, SCC 2022
Country/TerritorySpain
CityBarcelona
Period10/07/2216/07/22

Keywords

  • context aware
  • context caching
  • context management platform

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