A Virtual Machine Migration Policy Based on Multiple Attribute Decision in Vehicular Cloud Scenario

Author(s):  
Rodolfo I. Meneguette ◽  
Diego O. Rodrigues ◽  
Joahannes B. D. da Costa ◽  
Denis Rosario ◽  
Leandro A. Villas
2021 ◽  
Vol 67 (2) ◽  
pp. 2647-2663
Author(s):  
Sohan Kumar Pande ◽  
Sanjaya Kumar Panda ◽  
Satyabrata Das ◽  
Kshira Sagar Sahoo ◽  
Ashish Kr. Luhach ◽  
...  

2012 ◽  
Vol 263-266 ◽  
pp. 1564-1567
Author(s):  
Sung Hoon Son

In this paper, a virtual machine migration policy for large scale virtual desktop service is proposed. Usually a virtual desktop service is composed of several physical machines, each of which is running several virtual machines. Sometimes virtual machine should be relocated to other physical machine when load balance over the system lost. In this situation, a management server must answer two questions: who should be relocated and where is the destination host? The proposed migration policy in this paper is three kinds. We suggest the best policy from the viewpoint of user and system. By experiments, we show that our policy reduce user connect time and increase the number of concurrent virtual machines.


2015 ◽  
Vol 27 (18) ◽  
pp. 5780-5792 ◽  
Author(s):  
Hong Yao ◽  
Changmin Bai ◽  
Deze Zeng ◽  
Qingzhong Liang ◽  
Yuanyuan Fan

Author(s):  
Ramandeep Kaur

A lot of research has been done in the field of cloud computing in computing domain.  For its effective performance, variety of algorithms has been proposed. The role of virtualization is significant and its performance is dependent on VM Migration and allocation. More of the energy is absorbed in cloud; therefore, the utilization of numerous algorithms is required for saving energy and efficiency enhancement in the proposed work. In the proposed work, green algorithm has been considered with meta heuristic algorithms, ABC (Artificial Bee colony .Every server has to perform different or same functions. A cloud computing infrastructure can be modelled as Primary Machineas a set of physical Servers/host PM1, PM2, PM3… PMn. The resources of cloud infrastructure can be used by the virtualization technology, which allows one to create several VMs on a physical server or host and therefore, lessens the hardware amount and enhances the resource utilization. The computing resource/node in cloud is used through the virtual machine. To address this problem, data centre resources have to be managed in resource -effective manner for driving Green Cloud computing that has been proposed in this work using Virtual machine concept with ABC and Neural Network optimization algorithm. The simulations have been carried out in CLOUDSIM environment and the parameters like SLA violations, Energy consumption and VM migrations along with their comparison with existing techniques will be performed.


Author(s):  
Liu-Mei Zhang ◽  
Jian-Feng Ma ◽  
Di Lu ◽  
Yi-Chuan Wang

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