Title: Context aware self-optimisation scheduling in internet of things

Authors: Derrick Ntalasha; Tracy Chisanga

Addresses: School of Information and Communications Technology, Copperbelt University, Kitwe, Zambia ' School of Information and Communications Technology, Copperbelt University, Kitwe, Zambia

Abstract: The internet of things (IoT) consists of systems that are highly dynamic, homogenous and heterogeneous. These systems aspects bring in the automaticity resources management and scheduling that need to be addressed both at the design and runtime stage of systems development for a middleware. This paper looks at building support for middleware core components with self-optimisation and reconfiguration capabilities through the use of the exact match priority (EMP) algorithm to implement autonomic task scheduling of core components. The algorithm executes the scheduling process using dependent variables, context management tasks, number of configuration for the core components and number of components to minimise the waiting time for the reconfiguration of the system structures. The system supports the context-aware middleware in managing reconfigurable core components in an IoT environment. The experimental model indicates that autonomic task scheduling using EMP at the design stage of systems is important to achieve self-management.

Keywords: context-aware; self-optimisation; reconfiguration; scheduling; internet of things; IoT.

DOI: 10.1504/IJIITC.2020.110273

International Journal of Intelligent Internet of Things Computing, 2020 Vol.1 No.2, pp.129 - 144

Received: 15 Sep 2019
Accepted: 18 Jan 2020

Published online: 25 Sep 2020 *

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