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Adaptive Trading of Cloud of Things Resources

conference contribution
posted on 2019-01-01, 00:00 authored by Ahmed Salim Alrawahi, Ahmad Lotfi, Kevin LeeKevin Lee
Cloud of Things (CoT) consists of heterogeneous Cloud and Internet of Things (IoT) resources. CoT increasingly requires adaptive run-time management due to the CoT dynamism, environmental uncertainties and unpredictable changes in IoT resources. Adapting to these changes benefits particularly trading of CoT resources where the adaptability of traded resources and applications remains a challenge. Run-time changes in CoT trading environments can impact vital aspects including resource allocation, resource utilisation and application performance. This paper adopts monitoring, analysis, planning and execution (MAPE) model from autonomic computing to support adaptations when trading CoT resources. This is achieved by applying the MAPE model to systematically capture and identify changes in CoT environment. Based on the identified adaptations, an adaptive model is proposed to react to these changes.

History

Pagination

162-168

Location

Istanbul, Turkey

Start date

2019-08-26

End date

2019-08-28

ISBN-13

9781728128887

Language

eng

Publication classification

E1 Full written paper - refereed

Title of proceedings

FiCloud 2019 : Proceedings of the 7th International Conference on Future Internet of Things and Cloud

Event

Future Internet of Things and Cloud. Conference (2019 : 7th : Istanbul, Turkey)

Publisher

IEEE

Place of publication

Piscataway, N.J.

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