Performance Modelling of Consolidated Virtual Machines

With rapid and flexible resource provisioning of virtualization in data centers, problems of determining optimal virtual machine (VM) placements and dealing with virtualization overheads have emerged due to workload fluctuations and changing needs. These challenges have impacts on system performance.In this work, a performance model based on queuing theory, statistical methods and basic theories on system performance is proposed in which the researcher models the response time distribution of an application performance metric conditioned on variables that can be measured or controlled, such as system resource utilization and allocation metrics. The research also examined the relationships between virtualized CPU allocation, CPU contention, and application response time to identify the influence of CPU allocation and how it affects system performance.Comparing estimated values with measured values, empirical result shows that the proposed model validated for all the CPU allocations in the experiments conducted. The response time increases as workload increases; it is also observed from the analysis that the response time increases with low CPU. Thus by varying the CPU allocation base on business needs, am optimal point can be reached such that the CPU can be efficiently managed

Energy Consumption in Wireless Sensor Network

Energy is a limited resource in wireless sensor networks. In fact, the reduction of power consumption is crucial to increase the lifetime of low power sensor networks. Wireless sensor networks consist of small, autonomous devices with wireless networking capabilities. In order to further increase the applicability in real world applications, minimizing power consumption is one of the most critical issues. Therefore, accurate power model is required for the evaluation of wireless sensor networks. To estimate the lifetime of sensor node, the energy characteristics of sensor node are measured. Research in this area has been growing in the past few years given the wide range of applications that can benefit from such a technology. Based on the proposed model, the estimated lifetime of a battery powered sensor node can be increased significantly. Keywords—Sensor, Wireless Sensor Network, Energy Consumptio

Dynamic Power Management in Wireless Sensor Network

This research focuses on reducing or minimizing the power consumption, thereby increasing the network lifetime and also demonstrates a methodology for power consumption evaluation of WSN. The research also analyzes the energy consumption of ad hoc nodes using IEEE 802.11 interfaces; this was achieved using OPNET simulator. The evaluation takes into account the properties of the medium access protocol and the process of forwarding packets in ad hoc mode. The key point is to determine the node lifetime based on its average power consumption. The average power consumption is estimated considering how long the node remains sleeping, idle, receiving or transmitting