Computer Science And Technology - Master Dissertation

Permanent URI for this collectionhttps://kr.cup.edu.in/handle/32116/80

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    Analysis of leach protocol for lifetime optimization of wireless sensor networks
    (Central University of Punjab, 2014) Maurya, Prashant; Kaur, Amanpreet
    A Wireless Sensor Network (WSN) is an emerging field comprised of sensor nodes with limited resources like power, memory etc. It is used to monitor the remote areas where recharging or replacing the battery power of sensor nods is not possible. So, energy is a most challenging issue in case of WSN. Low-Energy Adaptive Clustering Hierarchy (LEACH) is most significant protocol which consumes less amount of energy while routing the data to the base station (BS). All descendents protocols of LEACH have been discussed in Literature review chapter. Each descendants of LEACH has its merits and demerits which needs improvement. In this research work RCH-LEACH protocol (LEACH protocol using Relay Cluster Head Node) has been proposed using a relay cluster head node (RCH node) in each cluster. RCH-LEACH protocol has been simulated on MATLAB with fixed location of base station and with fixed percentage of cluster heads in the network. Results of RCH-LEACH has been analyzed using parameters like Energy Consumption per Round, Round when First Node Dies (FND), Round when half of Nodes Die (HND), Round when Last Node Dies (LND) and throughput. Analysis of results represent that FND, HND, LND and Throughput of RCH-LEACH are higher and Energy consumption per Round is lower than that of LEACH protocol. So, it can be concluded that RCH-LEACH outperforms LEACH protocol. This RCH model used in RCH-LEACH protocol can be further extended and implemented on other descendant protocols of LEACH to improve them as a part of future work.
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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.