@inproceedings{67609e13b4c442f89836023c3d4d71a5,
title = "Work with What You've Got: An Approach for Resource-Driven Adaptation",
abstract = "Resource-driven systems are affected by resource variability, which prevents the timely completion of important tasks. This paper presents BOND, a hyBrid resOurce-driveN aDaptation approach which addresses the issue of resource variability by (i) prioritising tasks and making resources available for tasks with higher priorities, (ii) considering alternative task executions when resources are not available, (iii) substituting resources with alternative ones, and (iv) changing tasks into similar ones. The approach supports a proactive and reactive adaptation plan. A prototype tool has been implemented as a proof of concept and used for an initial evaluation of the approach in terms of its feasibility and scalability.",
keywords = "Resource-driven Adaptive System, Self-Adaptive System, Task Prioritisation",
author = "Akiki, \{Paul A.\} and Andrea Zisman and Amel Bennaceur",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2nd IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2021 ; Conference date: 27-09-2021 Through 01-10-2021",
year = "2021",
doi = "10.1109/ACSOS-C52956.2021.00030",
language = "English",
series = "Proceedings - 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "105--110",
editor = "Esam El-Araby and Vana Kalogeraki and Danilo Pianini and Frederic Lassabe and Barry Porter and Sona Ghahremani and Ingrid Nunes and Mohamed Bakhouya and Sven Tomforde",
booktitle = "Proceedings - 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2021",
}