Performance study of resource aware energy efficient VM placement algorithm

2016 ◽  
Author(s):  
R. Ranjana ◽  
S. Radha ◽  
J. Raja
Keyword(s):  
Energy Efficient ◽  
Performance Study ◽  
Vm Placement ◽  
Placement Algorithm ◽  
Resource Aware

A Virtual Machine Placement Algorithm with Energy-Efficiency in Cloud Computing

2017 ◽  
Vol 8 (2) ◽  
pp. 20-36
Author(s):  
Yu Cai
Keyword(s):  
Energy Efficiency ◽  
Energy Efficient ◽  
Virtual Machines ◽  
Live Migration ◽  
Vm Placement ◽  
Server Cluster ◽  
Simulated Environment ◽  
Resource Requirements ◽  
Placement Algorithm

Energy efficient virtual machines (VM) management and distribution on cloud platforms is an important research subject. Mapping VMs into PMs (Physical Machines) requires knowing the capacity of each PM and the resource requirements of the VMs. It should also take into accounts of VM operation overheads, the reliability of PMs, Quality of Service (QoS) in addition to energy efficiency. In this article, the authors propose an energy efficient statistical live VM placement scheme in a heterogeneous server cluster. Their scheme supports VM requests scheduling and live migration to minimize the number of active servers in order to save the overall energy in a virtualized server cluster. Specifically, the proposed VM placement scheme incorporates all VM operation overheads in the dynamic migration process. In addition, it considers other important factors in relation to energy consumption and is ready to be extended with more considerations on user demands. The authors conducted extensive evaluations based on HPC jobs in a simulated environment. The results prove the effectiveness of the proposed scheme.

scholarly journals Energy efficient virtual machine placement algorithm with balanced resource utilization based on priority of resources

2015 ◽  
Vol 4 (2) ◽  
pp. 107-118
Author(s):  
Amin Rahimi ◽  
Leili Mohammad Khanli ◽  
Saeid Pashazadeh
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Virtual Machine ◽  
Energy Efficient ◽  
Virtual Machine Placement ◽  
Environmental Damage ◽  
Vm Placement ◽  
Increase Energy Efficiency ◽  
Placement Algorithm ◽  
Best Fit

The increasing energy consumption has become a major concern in cloud computing due to its cost and environmental damage. Virtual Machine placement algorithms have been proven to be very effective in increasing energy efficiency and thus reducing the costs. In this paper we have introduced a new priority routing VM placement algorithm and have compared it with PABFD (power-aware best fit decreasing) on CoMon dataset using CloudSim for simulation. Our experiments show the superiority of our new method with regards to energy consumption and level of SLA violations measures and prove that priority routing VM placement algorithm can be effectively utilized to increase energy efficiency in the clouds.

scholarly journals A Access of MBFD, Percentage Util, Absolute Capacity and BSP VM Placement Algorithm on Cloud Datacenter

2019 ◽  
Vol 8 (2S8) ◽  
pp. 1782-1786
Keyword(s):  
Virtual Machine ◽  
Vm Placement ◽  
Dynamic Provisioning ◽  
Works Of Art ◽  
Cloud Datacenter ◽  
Placement Algorithm

The datacenter control admission is expanding hurriedly because of the versatility and dynamic provisioning of benefits. The debasement in like manner generally execution, effect of surroundings are the vital inconveniences in datacenter for the blast in power utilization. The power benefited from by method for unused host device to be turned off, through combining the virtual gadget powerfully to keep control in datacenter. on this paper we have conversely 4 specific virtual machine situation set of rules for the quality utilization, amount of VM movement, SLA infringement (SLAV), in general execution debasement in view of Migration (PDM), SLA infringement Time in accordance with vigorous host (SLATAH) and power SLA infringement (ESV). to assess the arrangement of guidelines we have utilized the CloudSim recreation toolbox and true works of art burden lines of planet lab VMs for our examination.

PERFORMANCE STUDY OF AN ENERGY-EFFICIENT DISPLAY CASE REFRIGERATOR

2004 ◽  
Vol 191 (4) ◽  
pp. 550-565 ◽  
Author(s):  
WEI-HAN TAO ◽  
CHAO-MING HUANG ◽  
CHUAN-LIANG HSU ◽  
JIAN-YUAN LIN
Keyword(s):  
Energy Efficient ◽  
Performance Study

Energy and SLA Efficient Virtual Machine Placement in Cloud Environment Using Non-Dominated Sorting Genetic Algorithm

2021 ◽  
pp. 773-789
Author(s):  
Oshin Sharma ◽  
Hemraj Saini
Keyword(s):  
Genetic Algorithm ◽  
Energy Consumption ◽  
Data Centers ◽  
Virtual Machines ◽  
Cloud Environment ◽  
Vm Placement ◽  
Energy Consumption Reduction ◽  
Consumption Reduction ◽  
The World ◽  
Placement Algorithm

To increase the availability of the resources and simultaneously to reduce the energy consumption of data centers by providing a good level of the service are one of the major challenges in the cloud environment. With the increasing data centers and their size around the world, the focus of the current research is to save the consumption of energy inside data centers. Thus, this article presents an energy-efficient VM placement algorithm for the mapping of virtual machines over physical machines. The idea of the mapping of virtual machines over physical machines is to lessen the count of physical machines used inside the data center. In the proposed algorithm, the problem of VM placement is formulated using a non-dominated sorting genetic algorithm based multi-objective optimization. The objectives are: optimization of the energy consumption, reduction of the level of SLA violation and the minimization of the migration count.

Energy Efficient VM Placement for Effective Resource Utilization using Modified Binary PSO

2017 ◽  
Vol 61 (6) ◽  
pp. 832-846 ◽  
Author(s):  
Atul Tripathi ◽  
Isha Pathak ◽  
Deo Prakash Vidyarthi
Keyword(s):  
Resource Utilization ◽  
Energy Efficient ◽  
Vm Placement ◽  
Binary Pso
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