A clustering allocation and scheduling analysis approach for multiprocessor dependent real-time tasks

Walid Karamti, Adel Mahfoudhi
March 2023
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Abstract

The ultimate objective in this paper is to propose a new method for dependent tasks clustering by considering the inter-tasks communication cost, the inter-clusters communication cost (inter-calculation units), the precedence impact and the execution cost. The optimal Munkres assignment algorithm is used for an optimal total execution cost. Tasks deadlines and their imposed precedence obligations are taken into consideration to lead a fast and safe exact scheduling analysis of each partition separately while giving pertinent feedback. Experimental results highlight the effectiveness of the proposed approach by comparing it with optimal ones. The outcome shows better results in the total execution cost and gives exact scheduling analysis results.

Type
2
Multiprocessor Real-Time Systems Dependent Tasks Clustering and Allocation Heterogeneous Multiprocessor Architecture Partitioned Scheduling Scheduling Analysis
Walid Karamti
Walid Karamti
ِAssistant Professor

My research interests include formal methods for the analysis of behaviors in real time systems and social networks.

Adel Mahfoudhi
Adel Mahfoudhi
Professor

My research interests include formal methods for Embedded Real Time System modeling, verification and Human Computer interaction, Cyber Security.