International Journal of Information Technology, Год журнала: 2024, Номер unknown
Опубликована: Июнь 14, 2024
Язык: Английский
International Journal of Information Technology, Год журнала: 2024, Номер unknown
Опубликована: Июнь 14, 2024
Язык: Английский
International Journal of Information Technology, Год журнала: 2024, Номер 16(5), С. 2847 - 2861
Опубликована: Март 5, 2024
Язык: Английский
Процитировано
6Concurrency and Computation Practice and Experience, Год журнала: 2024, Номер unknown
Опубликована: Сен. 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
Язык: Английский
Процитировано
0Computer Networks, Год журнала: 2023, Номер 237, С. 110088 - 110088
Опубликована: Ноя. 5, 2023
Язык: Английский
Процитировано
1International Journal of Information Technology, Год журнала: 2024, Номер unknown
Опубликована: Июнь 14, 2024
Язык: Английский
Процитировано
0