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Abstract

Centralised servers provide on-demand resources to process offloaded workloads from computing nodes. While server-based computing has been successful for applications with soft timing constraints, it falls short for safety-critical real-time systems with hard timing requirements. To bridge this gap, we develop a job-level admission test to satisfy the requirements for real-time applications deployed on a server by extending the “(M, K)-firm weakly hard” model to server systems, ensuring timely processing of server requests. We introduce an admission policy to regulate the workload and prevent deadline misses while attempting to admit more requests than the minimum required by the initial (M, K) constraints. The admission policy is designed to allow an optimal resource allocation to applications deployed on the server. 1 1 This work is an extension of our work-in-progress paper at RTAS'24 [1].
Original languageEnglish
Title of host publication2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation, ETFA 2024
EditorsTullio Facchinetti, Angelo Cenedese, Lucia Lo Bello, Stefano Vitturi, Thilo Sauter, Federico Tramarin
PublisherInstitute of Electrical and Electronics Engineers
Number of pages8
ISBN (Electronic)979-8-3503-6123-0
DOIs
Publication statusPublished - 16 Oct 2024
Event29th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2024 - Padova, Italy
Duration: 10 Sept 202413 Sept 2024

Conference

Conference29th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2024
Abbreviated titleETFA 2024
Country/TerritoryItaly
CityPadova
Period10/09/2413/09/24

Funding

This work was supported by the EU ECSEL project TRANSACT (grant no. 101007260).

FundersFunder number
Electronic Components and Systems for European Leadership101007260
Electronic Components and Systems for European Leadership

    Keywords

    • Server-based systems
    • admission policy
    • arrival curve
    • real-time systems
    • worst- case response time analysis

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