Orchestration and management of adaptive IoT-centric distributed applications

Amjad, Sehrish, Akhtar, Ahmed, Ali, Muhammad, Afzal, Ayesha, Shafiq, Basit, Vaidya, Jaideep, Shamail, Shafay and Rana, Omer ORCID: https://orcid.org/0000-0003-3597-2646 2024. Orchestration and management of adaptive IoT-centric distributed applications. IEEE Internet of Things Journal 11 (3) , pp. 3379-3791. 10.1109/JIOT.2023.3306238 Item availability restricted.

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Abstract

Current Internet of Things (IoT) devices provide a diverse range of functionalities, ranging from measurement and dissemination of sensory data observation, to computation services for real-time data stream processing. In extreme situations such as emergencies, a significant benefit of IoT devices is that they can help gain a more complete situational understanding of the environment. However, this requires the ability to utilize IoT resources while taking into account location, battery life, and other constraints of the underlying edge and IoT devices. A dynamic approach is proposed for orchestration and management of distributed workflow applications using services available in cloud data centers, deployed on servers, or IoT devices at the network edge. Our proposed approach is specifically designed for knowledge-driven business process workflows that are adaptive, interactive, evolvable and emergent. A comprehensive empirical evaluation shows that the proposed approach is effective and resilient to situational changes.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Publisher:	Institute of Electrical and Electronics Engineers
ISSN:	2327-4662
Date of First Compliant Deposit:	18 August 2023
Date of Acceptance:	18 August 2023
Last Modified:	25 Mar 2024 18:29
URI:	https://orca.cardiff.ac.uk/id/eprint/161914

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