International Journal of Information Technology, Journal Year: 2024, Volume and Issue: unknown
Published: June 14, 2024
Language: Английский
International Journal of Information Technology, Journal Year: 2024, Volume and Issue: unknown
Published: June 14, 2024
Language: Английский
International Journal of Information Technology, Journal Year: 2024, Volume and Issue: 16(5), P. 2847 - 2861
Published: March 5, 2024
Language: Английский
Citations
6Concurrency and Computation Practice and Experience, Journal Year: 2024, Volume and Issue: unknown
Published: Sept. 30, 2024
Summary Cloud data centers (CDCs) have revolutionized global computing by offering extensive storage and processing capabilities. Nevertheless, the environmental impact of these processes, including their substantial energy consumption carbon emissions, calls for implementing more efficient techniques. Efficient virtual machine (VM) consolidation is crucial in optimizing resource utilization reducing consumption. Current methods enhancing efficiency often lead to issues such as service level agreements (SLAs) violations quality services (QoS) degradation. This study presents a novel approach host selection using grey‐extreme (GE) learning model, which accurately predicts over underutilized hosts. In addition, VM placement technique called enhanced black widow optimization (EBWO) utilizes heuristic techniques differential evolutionary optimize placement. The proposed dynamic optimizes while meeting strict SLA requirements QoS metrics CDCs. Extensive analyses were conducted Cloudsim toolkit validate approach's effectiveness. These encompassed conditions random workloads heterogeneous environments. simulation results showed that GE‐EBWO outperforms other improves 12%–15%. it significantly decreases migrations 11%–14% compared advanced methods. validates practicality moving towards environmentally friendly
Language: Английский
Citations
0Computer Networks, Journal Year: 2023, Volume and Issue: 237, P. 110088 - 110088
Published: Nov. 5, 2023
Language: Английский
Citations
1International Journal of Information Technology, Journal Year: 2024, Volume and Issue: unknown
Published: June 14, 2024
Language: Английский
Citations
0