An integration of autonomic computing with multicore systems for performance optimization in Industrial Internet of Things Article Swipe
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· 2022
· Open Access
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· DOI: https://doi.org/10.1049/cmu2.12505
The goal of this work is to investigate how the self‐awareness characteristic of autonomic computing, paired with existing performance optimization rules, may be used in applications to minimise multi‐core processor performance concerns. The suggested self‐awareness technique can assist applications in self‐execution while also assisting other applications in executing in the system with optimal resource usage and reducing conflicts in a collaborative manner. It means self‐awareness is created in the application to get resources, schedules itself, running autonomically with respect to runtime variations in the applications and system parameters. Further, self‐aware applications would help collaboratively resolving the performance issues like; contention, bandwidth bottleneck, efficient task to core mapping, and performance monitoring through analysis in a dynamic collaborative multi‐core environment. To show the usefulness of this research, “Autonomic Computing Interface” (ACI) for is proposed Multicore systems. The proposed firmware as an interface between applications and the multi‐core system can dynamically handle performance issues with coordination of applications in an autonomic way. Also, in a highly dynamic execution environment the proposed runtime parameter tuning, existing performance improvement policies and self‐awareness approach in totality, for monitoring, analysis, and possibility for performance improvement would be effective as compared to the existing approaches which work in isolation.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1049/cmu2.12505
- OA Status
- gold
- Cited By
- 21
- References
- 36
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4297348629
Raw OpenAlex JSON
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https://openalex.org/W4297348629Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1049/cmu2.12505Digital Object Identifier
- Title
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An integration of autonomic computing with multicore systems for performance optimization in Industrial Internet of ThingsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-09-27Full publication date if available
- Authors
-
Surendra Kumar Shukla, Bhaskar Pant, Wattana Viriyasitavat, Devvret Verma, Sandeep Kautish, Gaurav Dhiman, Amandeep Kaur, K. Srihari, Sachi Nandan MohantyList of authors in order
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https://doi.org/10.1049/cmu2.12505Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1049/cmu2.12505Direct OA link when available
- Concepts
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Computer science, Multi-core processor, Bottleneck, Autonomic computing, Distributed computing, Cloud computing, Firmware, Performance improvement, The Internet, Embedded system, Operating system, Economics, Operations managementTop concepts (fields/topics) attached by OpenAlex
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21Total citation count in OpenAlex
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2025: 7, 2024: 6, 2023: 8Per-year citation counts (last 5 years)
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36Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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