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Abstract-the number of open source cloud management platforms is increasing day-by-day. The features of these software vary significantly and this creates a difficulty for the cloud consumers to choose the software based on their business and scientific requirements. This paper evaluates Eucalyptus and CloudStack, the two most popular open source platforms used to build private Infrastructure as a service (IaaS) clouds. The performance of virtual machines (VMs) initiated and managed by Eucalyptus and CloudStack are evaluated in terms of CPU utilization, memory bandwidth, disk I/O access speed, and network performance using suitable benchmarks. Different VM management operations such as add, delete and live migration are also assessed to determine which cloud solution is more suitable than other to be adopted as a private cloud solution. As a further performance testing, a simple web application has been implemented on the both clouds to evaluate their suitability in web application hosting.

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The fast growing in wireless communications and electronics have helped to develop wireless sensor networks. To understand and be able to implement wireless sensor networks several concepts are necessary such as network topology, communication network, communication protocols, and routing that are needed in any monitoring system. In this paper, the performance of WSN based on various topologies scenarios has been investigated. Some techniques useful for managing wireless sensor networks are communication protocols and routing. AODV (Ad-hoc On Demand Distance Vector Routing) routing algorithm is adopted in this work. Cluster-tree, mesh and star topologies are considered in two cases. The first case compares these three ZigBee topologies. The second case compares two scenarios for each ZigBee topologies where all devices in first scenario are fixed and all devices in second scenario are mobile. These cases are simulated by taking into account the specific features and recommendations of the IEEE 802.15.4/ZigBee standard by using OPNET Modeler 14.5.

This paper presents the design and implementation of a technique that can be used in a real-time network monitoring. It provides a Real-Time Network Monitoring System (RTNMS) that allows a host to capture any packets in a network by putting the host's Network Interface Card (NIC) into the promiscuous mode. Modular design has been devised. RTNMS consists of five modules that are integrated to give the required features. These features automatically give system administrators a helping hand in management and fault detection on a network. RTNMS is user-friendly because it has been augmented by a user interface to assist in navigating the capture and analysis of packets. It can be tapped into an enterprise network with high flexibility. It can significantly increase the efficiency of data capture and network monitoring through the association of various modules. General TermsInformation Technology -Network Monitoring.