Facial reconstruction

Search LJMU Research Online

Browse Repository | Browse E-Theses

Internet of Things Eco-Systems: Assured Interactivity of Devices and Data Through Cloud Based Team Work

Randles, M and Johnson, P and Hussain, A (2017) Internet of Things Eco-Systems: Assured Interactivity of Devices and Data Through Cloud Based Team Work. In: International Conference Proceedings Series . (Second International conference on Internet of Things, Data and Cloud Computing (ICC'17), 22 March 2017 - 23 March 2017, Churchill College, University of Cambridge, UK).

[img] Text
ICC17_final.pdf - Accepted Version
Restricted to Repository staff only

Download (527kB)

Abstract

IoT systems continue to grow in scale and exhibit similarities to complex systems seen in nature and biology: Systems are composed of heterogeneous entities (mobile devices, servers, sensors, data items, databases, etc.) coordinated in a Cloud environment forming a digital eco-system. Properties of such systems include variety, emergent outcome, self-organisation, etc. The scale of IoT systems, and the disparity in the capabilities of the devices on the market, means there needs to be a unifying model to enable a secure and assured interaction among those ‘things’. The authors propose conceptual designs for an efficient architecture, run-time decision models using assured models for such an interaction in a digital eco-system. This is done using the situation calculus modelling to represent the fundamental requirements for adjustable decentralised feedback control mechanisms necessary for the IoT-ready software systems: It is shown that complex properties and emergent outcomes of the system can be deduced, emanating from the simple distributed interaction models. A case study from the rail industry is used to assess the design and possible implementation.

Item Type: Conference or Workshop Item (Paper)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions: Computer Science
Electronics and Electrical Engineering
Publisher: ACM
Date Deposited: 18 May 2017 10:13
Last Modified: 18 May 2017 10:13
URI: http://researchonline.ljmu.ac.uk/id/eprint/6469

Actions (login required)

View Item View Item