scholarly journals An Efficient On-Demand Virtual Machine Migration in Cloud Using Common Deployment Model

2022 ◽  
Vol 42 (1) ◽  
pp. 245-256
Author(s):  
C. Saravanakumar ◽  
R. Priscilla ◽  
B. Prabha ◽  
A. Kavitha ◽  
M. Prakash ◽  
...  
Author(s):  
Keiko Hashizume ◽  
Nobukazu Yoshioka ◽  
Eduardo B. Fernandez

Cloud computing is a new computing model that allows providers to deliver services on demand by means of virtualization. One of the main concerns in cloud computing is security. In particular, the authors describe some attacks in the form of misuse patterns, where a misuse pattern describes how an attack is performed from the point of view of the attacker. Specially, they describe three misuse patterns: Resource Usage Monitoring Inference, Malicious Virtual Machine Creation, and Malicious Virtual Machine Migration Process.


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

2018 ◽  
Vol 9 (4) ◽  
pp. 309-317
Author(s):  
Damodar Tiwari ◽  
Shailendra Singh ◽  
Sanjeev Sharma

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