Cognitive and Time Predictable Task Scheduling in Edge-cloud Federation
2022 (English)In: IEEE International Conference on Emerging Technologies and Factory Automation, ETFA, Institute of Electrical and Electronics Engineers Inc. , 2022, Vol. 2022-SeptemberConference paper, Published paper (Refereed)
Abstract [en]
In this paper, we present a hierarchical model for time predictable task scheduling in edge-cloud computing architecture for industrial cyber-physical systems. Regarding the scheduling problem, we also investigate the common problem-solving approaches and discuss our preliminary plan to realize the proposed architecture. Furthermore, an Integer linear programming (ILP) model is proposed for task scheduling problem in the cloud layer. The model considers timing and security requirements of applications and the objective is to minimize the financial cost of their execution.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2022. Vol. 2022-September
Keywords [en]
Edge-Cloud federation, Integer linear programming model, scheduling approaches, Time predictable Task Scheduling, Computer architecture, Embedded systems, Hierarchical systems, Integer programming, Multitasking, Scheduling, Scheduling algorithms, Cloud computing architectures, Cloud federations, Cyber-physical systems, Edge clouds, Hierarchical model, Integer linear programming models, Scheduling approach, Tasks scheduling, Cloud computing architecture
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-60951DOI: 10.1109/ETFA52439.2022.9921480ISI: 000934103900053Scopus ID: 2-s2.0-85141430142ISBN: 9781665499965 (print)OAI: oai:DiVA.org:mdh-60951DiVA, id: diva2:1712588
Conference
27th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2022, Stuttgart, Germany, 6-9 September 2022
2022-11-222022-11-222023-03-22Bibliographically approved