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Efficient Resource Management in Green Computing Based on ISHOA Task Scheduling With Secure ChaCha20-Poly1305 Authenticated Encryption-Based Data Transmission
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Author(s): B. Santosh Kumar (New Horizon College of Engineering, India), K. A. Jayasheel Kumar (New Horizon College of Engineering, India), Balasubramanian Prabhu Kavin (SRM Institute of Science and Technology, India)and Gan Hong Seng (XJTLU Entrepreneur College, Xi'an Jiaotong-Liverpool University, China)
Copyright: 2024
Pages: 20
Source title:
Computational Intelligence for Green Cloud Computing and Digital Waste Management
Source Author(s)/Editor(s): K. Dinesh Kumar (Amrita Vishwa Vidyapeetham, India), Vijayakumar Varadarajan (The University of New South Wales, Australia), Nidal Nasser (College of Engineering, Alfaisal University, Saudi Arabia)and Ravi Kumar Poluru (Institute of Aeronautical Engineering, India)
DOI: 10.4018/979-8-3693-1552-1.ch014
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Abstract
One of the hottest new technologies that allows users to handle a broad range of resources and massive amounts of data in the cloud is green computing resource management. One of the biggest obstacles is task scheduling, and poor management leads to a decrease in productivity. The task must be efficiently scheduled to ensure optimal resource utilisation and minimal execution time. Given this, this study suggests a fresh method for efficient task scheduling in a green computing environment that also offers improved security. There is a development of an enhanced spotted hyena optimizer (ISHO). Finding the ideal or almost ideal subset with a straightforward structure to minimise the specified fitness function is a strong point of the SHO. It enhances a switch strategy in the spotted hyena's position updating mechanism and generates random positions in place of the violated spotted hyenas in order to support the proposed ISHO's exploration characteristics. Second, the data is encrypted using the ChaCha20–Poly1305 authenticated encryption algorithm, ensuring secure data transmission.
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