Nagasundaram, S. and Bobinath, B. N. and Shedthi, Ashwini and Rajalakshmi, K. and Humnekar, Trupti Dandekar and Millerjothi, M (2023) Analysis of the Requirement and Artificial Intelligence-based Resource Management System in Cloud. In: 2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS), Coimbatore, India.
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Analysis of the Requirement and Artificial Intelligence-based Resource Management System in Cloud _ IEEE Conference Publication _ IEEE Xplore.pdf
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Abstract
Artificial Intelligence (AI) approaches, such as the big data, mobile computing, and Internet of Things (IoT) have become more common in the computer science area in recent years. It is critical to properly manage resources in order to maintain service quality, service level agreements, and the system's overall availability. AI may be used to address the needs of cloud resource management, and this study examines and evaluates several approaches. Fog computing systems, intelligent cloud computing systems and edge-cloud systems are all types of AI-based cloud resource management systems that have been reviewed in this contribution. In this research, an intelligent resource management method that controls mobile resources by monitoring device states and projecting their future stability is proposed. We look at the possibility of using our suggested resource management system to a variety of cloud-based platforms.
Item Type: | Conference or Workshop Item (Paper) |
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Subjects: | Computer Science Engineering > Cloud Computing |
Divisions: | Computer Science Engineering |
Depositing User: | Mr IR Admin |
Date Deposited: | 24 Sep 2024 08:40 |
Last Modified: | 24 Sep 2024 08:40 |
URI: | https://ir.vistas.ac.in/id/eprint/7036 |