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A Multi-Budget-Based Approach to Enhance the Responsiveness of Aperiodic Task for a Bandwidth-Preserving Server in Real-Time Systems

A Multi-Budget-Based Approach to Enhance the Responsiveness of Aperiodic Task for a Bandwidth-Preserving Server in Real-Time Systems

Ajitesh Kumar, Sanjai Kumar Gupta
Copyright: © 2022 |Volume: 15 |Issue: 1 |Pages: 20
ISSN: 1938-7857|EISSN: 1938-7865|EISBN13: 9781683180340|DOI: 10.4018/JITR.299917
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MLA

Kumar, Ajitesh, and Sanjai Kumar Gupta. "A Multi-Budget-Based Approach to Enhance the Responsiveness of Aperiodic Task for a Bandwidth-Preserving Server in Real-Time Systems." JITR vol.15, no.1 2022: pp.1-20. http://doi.org/10.4018/JITR.299917

APA

Kumar, A. & Gupta, S. K. (2022). A Multi-Budget-Based Approach to Enhance the Responsiveness of Aperiodic Task for a Bandwidth-Preserving Server in Real-Time Systems. Journal of Information Technology Research (JITR), 15(1), 1-20. http://doi.org/10.4018/JITR.299917

Chicago

Kumar, Ajitesh, and Sanjai Kumar Gupta. "A Multi-Budget-Based Approach to Enhance the Responsiveness of Aperiodic Task for a Bandwidth-Preserving Server in Real-Time Systems," Journal of Information Technology Research (JITR) 15, no.1: 1-20. http://doi.org/10.4018/JITR.299917

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Abstract

Within the advanced computation time, real-time application pulled in much more attention. Implementing a better high-quality real-time system requires to improve the responsiveness of the tasks set. This research work aims to achieve the best quality of service (QoS) in terms of improving the responsiveness of aperiodic tasks and also improved acceptability domain, by accepting to execute multiple aperiodic functions while maintaining the feasibility of periodic tasks in a real-time system.The functional analysis with simulation shows that the proposed algorithm is highly effective in terms of task sets deemed schedulable and also by allowing aperiodic tasks that were rejected by existing approaches. The simulation results indicate that it reduces overall average response time of aperiodic tasks approximately 13% at lowest periodic load (35%), 7% at 60% periodic load, and 4% at 80% periodic load, and in all observed circumstances, the proposed novel algorithm received 7%-10% improvement over the existing one.