A thermal-aware energy-efficient virtual machine placement algorithm based on fuzzy controlled binary gravitational search algorithm (FC-BGSA)

Aghasi, Ali; Jamshidi, Kamal; Bohlooli, Ali

doi:10.1007/s10586-021-03476-0

Cited by 12 publications

(4 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the process of fluid flow, the parameters such as temperature, pressure and velocity vary with the external conditions. Changes in these factors will affect the heat transfer performance of the flow field, understand various phenomena and causes in the flow field, determine the structural form of the tube wall heat exchanger and the operating resistance coefficient, analyze the characteristics of the equipment at different Reynolds numbers and carry out optimization calculations to obtain the best matching situation, provide theoretical basis for subsequent tests, and obtain the variation rules and characteristics of each parameter within a certain range according to the experimental data [9][10]. There are complex heat transfer problems in the fluid flow process.…”

Section: Pfhementioning

confidence: 99%

Experimental Heat Transfer Performance of Plate Fin Heat Exchanger Based on Fuzzy Algorithm

2023

KME

View full text Add to dashboard Cite

With the continuous growth of industrial technology, the waste of energy is becoming more and more serious. As a kind of energy-saving, environmental protection and higher economic benefits, plate fin heat exchanger(PFHE) can effectively alleviate the resource tension. Therefore, the experimental study of plate fin regenerator is of great significance. This paper mainly introduces the mass transfer performance and working principle of the plate type heat recovery device at home and abroad. Combined with the actual situation, the test, analysis and calculation are carried out, and the design ideas and relevant equipment structure drawings after optimizing the process parameters and improving measures are proposed, so as to improve the heat exchange efficiency and reduce the production cost. Therefore, based on the fuzzy algorithm, this paper designs a PFHE model, and tests the model. The test results show that the pressure drop on both sides of the heat exchanger decreases slightly, and the number of channels on both sides increases slightly. The optimization results of this module show the applicability of fuzzy algorithm, as a modern optimization method, in the optimization design of PFHE, and the superiority of genetic algorithm in the optimization process and results compared with traditional design methods.

show abstract

Section: Pfhementioning

confidence: 99%

Experimental Heat Transfer Performance of Plate Fin Heat Exchanger Based on Fuzzy Algorithm

2023

KME

View full text Add to dashboard Cite

show abstract

“…A. Aghasi, K. Jamshidi, and A. Bohlooli [12] have presented a binary gravitational search algorithm based on fuzzy controlled binary gravitational search algorithm (FC-BGSA) algorithm. The computational time and energy consumption of FC-BGSA was minimized simultaneously by using metaheuristic approach.…”

Section: Literature Surveymentioning

confidence: 99%

“…Poor outcomes due to the initial decision taken by the agent [11] ii. Poor energy consumption [12] iii. Large number of variables [13] iv.…”

Section: Literature Surveymentioning

confidence: 99%

See 1 more Smart Citation

Power Aware Energy Efficient based Virtual Machine Migration Using Enhanced Pelican Remora Optimization in Cloud Center

2023

IJIES

View full text Add to dashboard Cite

Cloud computing technology is widely used in many industries to build a large-scale data center. One of the main challenges in this technology is to minimize the energy utilization in data centres. The quality of service is remarkably obsessed with percentage of power utilization in cloud centres. Many methods have been explored to minimize the energy consumption and for effective Virtual Machine (VM) migration. But failed to attend the significant outcomes in migration and consolidation problems. Consolidation of VM into the minimal number of physical machines is considered one of the best solutions to consume minimum power. This research proposed an Energy Migration Optimized using Enhanced Pelican Remora (EMOEPR) for achieving the suitable placement of VM into minimum possible physical machine to diminish the number of overload hosts as much as possible. Also, it minimizes the energy consumption without violating service level agreement. The proposed method is simulated using Cloudsim Toolkit. The experimental procedure done on different workloads with various sizes of VM and PM, shows that does not affect service level agreement and outperforms compared with the existing techniques. The proposed method reduced 5% energy consumption, 22.62% of VM migrations, 8.62% of service level agreement violation when compared with the existing techniques.

show abstract

Enhancing virtual machine placement efficiency in cloud data centers: a hybrid approach using multi-objective reinforcement learning and clustering strategies

Ghasemi,

Toroghi Haghighat,

Keshavarzi

2024

Computing

View full text Add to dashboard Cite

A thermal-aware energy-efficient virtual machine placement algorithm based on fuzzy controlled binary gravitational search algorithm (FC-BGSA)

Cited by 12 publications

References 32 publications

Experimental Heat Transfer Performance of Plate Fin Heat Exchanger Based on Fuzzy Algorithm

Experimental Heat Transfer Performance of Plate Fin Heat Exchanger Based on Fuzzy Algorithm

Power Aware Energy Efficient based Virtual Machine Migration Using Enhanced Pelican Remora Optimization in Cloud Center

Enhancing virtual machine placement efficiency in cloud data centers: a hybrid approach using multi-objective reinforcement learning and clustering strategies

Contact Info

Product

Resources

About