Cloud computing has given the new face to the distributed field. Two main issues are discussed in this paper, (I) “the process of finding the efficient virtual machine by using the concept of load balancing algorithm”. (II) “Reallocation of the Virtual Machines” i.e. migration of the Virtual Machines when cloud provider is not available with the required Virtual Machines. We have discussed abou...

Underutilization of computing resources and high power consumption are two primary challenges in the domain of Cloud resource management. This paper deals with these challenges through offline, migration impact-aware, multi-objective dynamic Virtual Machine (VM) consolidation in the context of large-scale virtualized data center environments. The problem is formulated as an NP-hard discrete com...

Live Virtual Machine (VM) migration is one of the foremost techniques for progressing Cloud Data Centers’ (CDC) proficiency as it leads to better resource usage. The workload CDC often dynamic in nature, envisage upcoming early detection overload status, underload status and trigger at an appropriate point wherein enough number resources are available. Though various statistical machine learnin...

Live Virtual Machine (VM) migration across data centers is an important technology to facilitate cloud management and deepen the cooperation between cloud providers. Without the support of a shared storage system between data centers, migrating the storage data (i.e. virtual disk) of a VM becomes the bottleneck of live VM migration over WAN due to the contradiction between the low bandwidth of ...

In the cloud computing environment, cloud virtual machine (VM) will be more and more the number of virtual machine security and management faced giant Challenge. In order to address security issues cloud computing virtualization environment, this paper presents a virtual machine based on efficient and dynamic deployment VM security management model state migration and scheduling, study of which...

In cloud computing, there are many strategies used for virtual machine (VM) placement. Objectives for VM placement are to reduce the number of physical machines required, VM allocation time and to reduce resource and power wastage. Various VM placement algorithms and the problems of existing techniques are analyzed and discussed here. The evaluation of those algorithms is given with the factors...