Browsing by Author "Kaur, Nirmaljeet"

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    Service level agreement aware energy efficient approach for virtual machine placement in clous data center
    (Central University of Punjab, 2014) Kaur, Nirmaljeet; Khurana, Surinder.K
    Generally, the growth of computing systems has been concentrate on performance improvement or fast processing of applications from the view point of customer, scientific and business perspective. However, this type of computing increases energy consumption. It is continue to consume large amount of energy in the form of electrical power. In cloud computing data center hosting of cloud applications consume huge amount of energy. Optimization of the energy requirements of data center is a very challenging task. This dissertation report describes the energy efficiency of minimization of migration policy in IaaS environment. In this policy VM migration, energy consumption, SLA violations are calculated. VM migration directly influences resource utilization and Quality of Service (QoS) parameters provided by the system. The effect of disturbance cause server overloads, resource shortage, performance degradation etc. So, one of the challenging task is, the placement of VMs, like where, when, which VM could be migrated for saving energy and less SLA violations, with minimum number of migration. In this research work a new approach has been proposed to select VMs to migrate from the over utilized host. Approach migrates those VMs that belongs to the higher category so that that the resources allocated to these VMs have less cost penalties for SLA violations. Proposed approach results are compared to the simulated Minimization of Migration Policy (Beloglazov et al., 2012) and compared its energy requirements, virtual machine migration and SLA violation with Minimum Migration Time and Random Selection policies.
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    SLA Aware Approach for Virtual Machine Placement in Cloud Datacenter
    (Publishing India, 2014) Khurana, Surinder Singh; Kaur, Nirmaljeet
    The massive adoption of cloud computing by IT industry has caused a dramatic increase in energy consumption and its impact on the environment in terms of carbon footprints. The high cost of energy and link between energy consumption and carbon emission have raised an issue of energy management. Recently, a number of approaches have been proposed to address this issue. Most of these approaches are based upon the proper utilization of the resources. On the other side, to avoid Service Level Agreement (SLA) violations, the servers deployed in data centres can be utilized up to a maximum threshold value. To avoid SLA violation, some virtual machines (VMs) will be migrated from over utilized hosts. Although there are many techniques to select such VMs that can be migrated, but no technique considers Service Level Agreement parameters while selecting such machines. In this paper, SLA based approach to select VMs to migrate from overloaded host has been purposed. The purposed approach will work on the basis of VM categories that are negotiated in service level agreement. The simulation results demonstrate that the proposed approach demands slightly more energy than the other efficient technique (Minimization of Migration). However, it reduces the cost paid in lieu of SLA violation as it reduces SLA violations belonging to VM categories for which SLA violation penalties are higher.