Swarm and Evolutionary Computation, Год журнала: 2024, Номер unknown, С. 101756 - 101756
Опубликована: Ноя. 1, 2024
Язык: Английский
Swarm and Evolutionary Computation, Год журнала: 2024, Номер unknown, С. 101756 - 101756
Опубликована: Ноя. 1, 2024
Язык: Английский
Future Generation Computer Systems, Год журнала: 2023, Номер 145, С. 321 - 336
Опубликована: Март 15, 2023
Язык: Английский
Процитировано
8IEEE Access, Год журнала: 2024, Номер 12, С. 105234 - 105245
Опубликована: Янв. 1, 2024
The dynamic landscape of cloud computing design presents significant challenges regarding power consumption and quality service (QoS). Virtual machine (VM) consolidation is essential for reducing usage enhancing QoS by relocating VMs between hosts. OpenStack Neat, a leading framework VM consolidation, employs the Modified Best-Fit Decreasing (MBFD) placement technique, which faces issues related to energy QoS. To address these issues, we propose an Energy Efficient Consolidation (EEVMC) approach. Our method introduces novel host selection criterion based on incurred loss during identify most efficient host. For validation, conducted simulations using real-time workload traces from Planet-Lab Materna over ten days, leveraging latest CloudSim toolkit compare our approach with state-of-the-art techniques. Planet-Lab's workload, EEVMC shows reduction in 80.35%, 59.76%, 21.59%, 7.40%, fewer system-level agreement (SLA) violations 94.51%, 94.85%, 47.17%, 17.78% when compared (MBFD), Power-Aware Best Fit (PABFD), Medium Power (MFPED), Power-Efficient (PEBFD), respectively. Similarly, Materna, achieves 16.10%, 61.0%, 4.94%, 4.82%, SLA 76.99%, 88.88%, 12.50%, 48.65% against same benchmarks. Additionally, Loss-Aware Performance (LAPED) significantly reduces total number migrations time per active host, indicating substantial improvement efficiency.
Язык: Английский
Процитировано
2Physical Communication, Год журнала: 2022, Номер 55, С. 101925 - 101925
Опубликована: Окт. 21, 2022
Язык: Английский
Процитировано
10IEEE Access, Год журнала: 2020, Номер 9, С. 3526 - 3544
Опубликована: Дек. 28, 2020
The high energy consumption of cloud data centers is one the key issues restricting future development computing industry. For two-tier virtualized in which containers are deployed on VMs, this paper conducts an in-depth study problem from aspect resource management. First, working model center defined. By mapping tasks to and using VMs isolate different jobs, improves utilization hosts while ensuring isolation security jobs. Then, energy-aware host management framework constructed, includes two algorithms. initial static placement a scheduling algorithm, including load balancing alternate two-sided matching methods complete respectively. runtime dynamic consolidation algorithm takes scheme as input, utilizes method use least active meet real-time requirements containers. Finally, simulation experiments compared with related algorithms conducted real workload traces. results show that proposed have better performance utilization, number hosts, container migrations SLA metric. And entire achieves energy-saving effect 13.8% at least.
Язык: Английский
Процитировано
13Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 131, С. 107825 - 107825
Опубликована: Янв. 4, 2024
Язык: Английский
Процитировано
1IEEE Transactions on Cloud Computing, Год журнала: 2024, Номер 12(2), С. 563 - 579
Опубликована: Март 20, 2024
Pre-copy-based Virtual Machine (VM) live migration seamlessly migrates the running VM to target physical server by pre-copying memory pages and realizing updates through loop iterations. This method, which has high reliability robustness, can effectively achieve load balancing reduce energy consumption. It is widely used in industry manage cluster resources. However, it also involves many problems, such as dirty resulting from repeated transmission convergence failure of iterative transmission. Hence, pre-copy cannot efficiently allocate To resolve these a technology based on similarity proposed this paper. The access priority historical was determined calculating weight Hamming distance. A priority-based delay scheme for low decrease frequent pages, increase speed live-migration copy process, overall time VMs. comparative analysis experimental results six dimensions showed that method achieved better efficiency than conventional strategy.
Язык: Английский
Процитировано
1Telecommunication Systems, Год журнала: 2024, Номер 87(2), С. 257 - 285
Опубликована: Июнь 18, 2024
Язык: Английский
Процитировано
1International Journal of Information Technology, Год журнала: 2022, Номер 15(2), С. 697 - 710
Опубликована: Окт. 2, 2022
Язык: Английский
Процитировано
4Computer Science Review, Год журнала: 2023, Номер 50, С. 100583 - 100583
Опубликована: Сен. 1, 2023
Язык: Английский
Процитировано
2Опубликована: Ноя. 23, 2022
Cloud systems are managed on the basis of au-tonomous systems. We present criteria that suitable for optimization or improvement modern cloud In every operating system, task scheduling is very important. clouds systems, where large amount tasks runs numerous machines, optimized leads to significant reduction computing time. providers have comply with service level agreement from technical and quality point view. For this reason, we specify limits violation. Clouds virtualized by virtual machines containers. show approaches power consumption minimization. Fog helps improve middleware technology between IoT devices. correct decomposition parallel distributed application. conclude understanding effective work can design implementation
Язык: Английский
Процитировано
3