The Comparison of Virtual Machine Migration Performance between XEN-HVM, XEN-PV and Open-VZ

Advances in Intelligent and Soft Computing - ICT Innovations 2011 ◽

10.1007/978-3-642-28664-3_35 ◽

2012 ◽

pp. 379-394 ◽

Cited By ~ 1

Author(s):

Igli Tafa ◽

Ermal Beqiri ◽

Elinda Kajo ◽

Hakik Paci ◽

Aleksander Xhuvani

Keyword(s):

Virtual Machine ◽

Virtual Machine Migration

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Optimizing Virtual Machine Migration for Energy-Efficient Clouds

IEICE Transactions on Communications ◽

10.1587/transcom.e97.b.450 ◽

2014 ◽

Vol E97.B (2) ◽

pp. 450-458 ◽

Cited By ~ 7

Author(s):

Marat ZHANIKEEV

Keyword(s):

Virtual Machine ◽

Energy Efficient ◽

Virtual Machine Migration

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A Hybrid Approach for Virtual Machine Migration in Cloud Computing Environment

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse.v7i9.407 ◽

2017 ◽

Vol 7 (9) ◽

pp. 30 ◽

Cited By ~ 1

Author(s):

Ramandeep Kaur

Keyword(s):

Cloud Computing ◽

Virtual Machine ◽

Heuristic Algorithms ◽

Hybrid Approach ◽

Cloud Infrastructure ◽

Virtual Machine Migration ◽

Bee Colony ◽

Effective Manner ◽

Effective Performance

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.

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