susmita J a nair | Acharya's Institute of Technology (original) (raw)

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An enterprise that uses a private addressing scheme may wish to connect to an Infrastructure as a... more An enterprise that uses a private addressing scheme may wish to connect to an Infrastructure as a Service (IaaS) cloud to enhance its server capacity for a limited period. The IaaS cloud service provider partitions a portion of its public cloud to realize a private cloud for the enterprise. The private cloud is reachable as an extension to the servers of a business computing environment through an appropriate communication medium. A secure Virtual Private Network (VPN) tunnel is established between the enterprise datacenter and the public cloud. The three major existing approaches in building IaaS systems are Layer 3 (L3), Layer 2 (L2) and network virtualization.

The VMs are hosted by Servers at the Data Centers. The increase in jobs at VMs leads to overhead ... more The VMs are hosted by Servers at the Data Centers. The increase in jobs at VMs leads to overhead at the servers which brings the need for the redistribution of VMs to other servers. The relocation of Vm has to be done in such a way that it does not affect the performance and at the same time energy consumption should be maintained at a minimum level. Here we analyze the conditions for performance deterioration and the effect on performance and energy loss associated with VM migration.

Article history: In virtualized servers, with live migration technique pages are copied from one ... more Article history: In virtualized servers, with live migration technique pages are copied from one physical machine to another while the virtual machine (VM) is running. The dynamic migration of virtual machines encumbers the data center which in turn reduces the performance of applications running on that particular physical machine. A considerable number of studies have been carried out in the area of performance evaluation during live VM migration. However, all the aspects related to the migration process have not been examined for the performance assessment. In this paper, we propose a novel approach to evaluate the performance during migration process in different types of coupled machine environment. It is presented here that the state of art VM migration technology requires further improvement in realizing effective migration by monitoring comprehensive performance value. We introduced the parameter, θ, to compare performance value which can be used for controlling and halting unsuccessful migration and save significant amount of time in migration operation. Our model is capable of analyzing real time scenario of cloud performance assessment targeting VM migration strategies. It also offers the possibility of further expanding to universal models for analyzing the performance variations that occurs as a result of VM migration. 1. INTRODUCTION The distributed architecture of datacenters supports an enterprise with enhanced computational capacity, storage and advanced applications. Virtualization is the technology used for enhancement of capabilities of datacenter. Usually the data center is transformed into fully fledged cloud architecture mainly through the implementation of successful virtualization of machines in processing communication and storage domains [1]. The applications and services available in cloud computing are stored in data centers that are distributed across several geographic locations. The even distribution of system load to various data centers help to achieve better performance, reduce response time and to deal with the fault tolerance. In order to optimize the energy efficiency of their data centers, the tasks running on the under-utilized physical machines are mapped onto other Physical Machines (PMs) of the data center and then the under-utilized ones are shut down [2]. This can be accomplished by the migration of the virtual machines (VM) from the overloaded servers to other servers with reasonable migration cost. Placing the VM in a distant location away from the data centers affects the application performance. So, the network aspects between data centers and the VM have to be considered for placing the application in a VM [3]. VMs are chosen from the overloaded host that will be migrated to an underutilized physical machine (PM). While migrating the VMs, the cloud providers have to ensure the quality

Live Migration scheme is one of the vital storage engineering tactics used in managing Data Cente... more Live Migration scheme is one of the vital storage engineering tactics used in managing Data Center overload and aiding the maintenance process of the data center. Live migration process enables the transfer of virtual servers from one data center unit to another without significant service interruption. Nevertheless, live migration has few disadvantages like performance loss and energy overhead. The energy utilization at the data center is a topic of ecological concern too. There are several areas where energy is consumed at the data centers. This paper presents a technique to predict the energy consumption which can further help to curtail the energy utilization at the data center and make them more eco-friendly.

susmita J a nair | Acharya's Institute of Technology (original) (raw)

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