An integration of autonomic computing with multicore systems for performance optimization in Industrial Internet of Things-Reference-Cited by-同舟云学术

An integration of autonomic computing with multicore systems for performance optimization in Industrial Internet of Things

Published:2022-09-27 Issue: Volume: Page:
ISSN:1751-8628
Container-title:IET Communications
language:en
Short-container-title:IET Communications

Author:

Shukla Surendra Kumar¹,Pant Bhaskar¹,Viriyasitavat Wattana²,Verma Devvret³,Kautish Sandeep⁴^ORCID,Dhiman Gaurav⁵⁶¹^ORCID,Kaur Amandeep⁶,Srihari Kannan⁷,Mohanty Sachi Nandan⁸

Affiliation:

1. Department of Computer Science and Engineering Graphic Era Deemed to be University Dehradun India

2. Business Information Technology Division Department of Statistics Faculty of Commerce and Accountancy Chulalongkorn University Bangkok Thailand

3. Department of Biotechnology Graphic Era Deemed to be University Dehradun India

4. Dean Academics Lord Buddha Education Foundation Kathmandu Nepal

5. Department of Electrical and Computer Engineering Lebanese American University Byblos Lebanon

6. Department of Computer Science and Engineering University Centre for Research and Development Chandigarh University, Gharuan Mohali India

7. Department of Computer Science and Engineering SNS College of Technology India

8. School of Computer Science and Engineering VIT‐AP University Amaravati Andhra Pradesh India

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cmu2.12505

Reference37 articles.

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2. A Design Space Exploration Methodology for Parameter Optimization in Multicore Processors

3. Moazzemi K. Kanduri A. Juh´asz D. Miele A. Rahmani A.M. Liljeberg P. Jantsch A. Dutt N.:Trends in on‐chip dynamic resource management. In:21st Euromicro Conference on Digital System Design (DSD) Prague pp.62–692018.

4. Agarwal A. Miller J. Eastep J. Wentziaff D. Kasture H.: Self‐aware computing. Technical report MIT (2009)

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