Optimizing makespan and resource utilization in cloud computing environment via evolutionary scheduling approach

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(11), P. e0311814 - e0311814

Published: Nov. 22, 2024

As a new computing resources distribution platform, cloud technology greatly influenced society with the conception of on-demand resource usage through virtualization technology. Virtualization allows physical in way that will enable multiple end-users to have similar hardware infrastructure. In cloud, many challenges exist on provider side due expectations clients. Resource scheduling (RS) is most significant nondeterministic polynomial time (NP) hard problem owing its crucial impact performance. Previous research found metaheuristics can dramatically increase CC performance if deployed as algorithms. Therefore, this study develops an evolutionary algorithm-based approach for makespan optimization and utilization (EASA-MORU) technique environment. The EASA-MORU aims maximize effectively use technique, dung beetle (DBO) used purposes. Moreover, balances load properly distributes based demands evaluation method tested using series measures. A wide range comprehensive comparison studies emphasized performs better than other methods different

Language: Английский

Enhancing Cloud Performance by Leveraging Bi- Directional-LSTM for Load Balancing

Published: Dec. 19, 2024

Language: Английский