Integrating asynchronous advantage actor–critic (A3C) and coalitional game theory algorithms for optimizing energy, carbon emissions, and reliability of scientific workflows in cloud data centers DOI
Mustafa Ibrahim Khaleel

Swarm and Evolutionary Computation, Год журнала: 2024, Номер unknown, С. 101756 - 101756

Опубликована: Ноя. 1, 2024

Язык: Английский

Cloud computing virtual machine consolidation based on stock trading forecast techniques DOI
Sergi Vila, Fernando Guirado, Josep L. Lérida

и другие.

Future Generation Computer Systems, Год журнала: 2023, Номер 145, С. 321 - 336

Опубликована: Март 15, 2023

Язык: Английский

Процитировано

8

EEVMC: An Energy Efficient Virtual Machine Consolidation Approach for Cloud Data Centers DOI Creative Commons
Attique Ur Rehman, Songfeng Lu, Mubashir Ali

и другие.

IEEE 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

2

Autonomous DRL-based energy efficient VM consolidation for cloud data centers DOI
Khizar Abbas, Jibum Hong, Nguyen Van Tu

и другие.

Physical Communication, Год журнала: 2022, Номер 55, С. 101925 - 101925

Опубликована: Окт. 21, 2022

Язык: Английский

Процитировано

10

An Energy-Aware Host Resource Management Framework for Two-Tier Virtualized Cloud Data Centers DOI Creative Commons
Chi Zhang, Yuxin Wang, Hao Wu

и другие.

IEEE 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

13

Energy-performance aware virtual machines migration in cloud network by using prediction and fuzzy approaches DOI
Rahmat Zolfaghari

Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 131, С. 107825 - 107825

Опубликована: Янв. 4, 2024

Язык: Английский

Процитировано

1

Live Migration of Virtual Machines Based on Dirty Page Similarity DOI
Yucong Chen, Shuaixin Xu,

Hubin Yang

и другие.

IEEE 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

1

Perspective of virtual machine consolidation in cloud computing: a systematic survey DOI
Junzhong Zou,

Kai Wang,

Keke Zhang

и другие.

Telecommunication Systems, Год журнала: 2024, Номер 87(2), С. 257 - 285

Опубликована: Июнь 18, 2024

Язык: Английский

Процитировано

1

MRA-VC: multiple resources aware virtual machine consolidation using particle swarm optimization DOI

Neha Songara,

Manoj Jain

International Journal of Information Technology, Год журнала: 2022, Номер 15(2), С. 697 - 710

Опубликована: Окт. 2, 2022

Язык: Английский

Процитировано

4

An empirical investigation of task scheduling and VM consolidation schemes in cloud environment DOI
Sweta Singh,

Rakesh Kumar,

Dayashankar Singh

и другие.

Computer Science Review, Год журнала: 2023, Номер 50, С. 100583 - 100583

Опубликована: Сен. 1, 2023

Язык: Английский

Процитировано

2

Heterogeneous Cloud Systems and Criteria for Enhanced Performance DOI

Jarmila Škrinárová

Опубликована: 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