Performance Evaluation Of Communication Networks Research Articles

Performance evaluation of communication networks for networked microgrids

The main goal of cyber-physical power systems (CPPSs) is to provide seamless collaboration between the physical and cyber systems, bridging disciplines, such as communication networks and control systems. Controlling the operation of Microgrids (MGs) as a cyber-physical power system must include both the physical and cyber layers. Generally, the microgrid control center MGCC is employed for reliable operation management between the different local controllers within the networked microgrids (NMGs). Therefore, an excessive number of communication channels between the MGCC and the local controllers will exist, affecting the control performance of the NMGs. This paper focuses on developing an innovative communication network emulation model for standalone DC networked microgrids using a Network Simulator (NS3), miming the communication infrastructure to control the networked microgrid system. Through the real-time simulation, the performance of the proposed communication network model was evaluated by employing two transmission protocols, User Datagram Protocol (UDP) and Transmission Control Protocol (TCP), to facilitate the data exchange between the MGCC and the local controllers in each MG while operating under different traffic loads. The comparative results of using these protocols in terms of the key performance indicators (KPIs) of the communication performance metrics, such as the mean delay, percentage of packet loss, and transmitted and received bitrate, reveal notable insights into their suitability in data transmission for controlling and managing the operation of the NMGs.

Information Flow Modeling and Performance Evaluation of Communication Networks Serving Power Grids

A cyber-physical system (CPS) represents the coupling network between a communication network and a power grid. Information flow (IF) as the medium of communication networks has an important influence on the performance assessment of this type of coupling network. However, traditional IF models cannot be applied to CPS directly because they do not take CPS distinctive coupling effect and associated operational mechanism into account. In this paper, we propose an information flow model (IFM) based on graph theory and traffic dynamics considering the functional architecture and transmission mode in realistic CPS to bridge the gap mentioned above. In the IFM, congestion rate and loss rate are employed to assess the performance of communication networks serving power grids under different transmission strengths and modes. Moreover, an auxiliary model about CPS topology is constructed, which can generate more realistic CPS topology. Case studies on an IEEE 39-bus system reveal the transmission performance of CPS in detail. The IFM is exploited to detect critical nodes and compare the effects of node enhancement on IF transmission of networks. In addition, IFM is also applied to compare the transmission performances of six network topologies, including three basic complex networks and three community-based networks. The results demonstrate the effectiveness of the proposed model, and some suggestions are provided on performance improvement of IF transmission for CPS.

Research on comprehensive performance evaluation of communication network based on the fuzzy number intuitionistic fuzzy information

Communication network has been focused by a lot of researchers for years. The communication network solution is used to solve the bottleneck of the on chip communication between processors, to improve the performance of overall system, and to promote the development of high performance computer. In order to improve the efficiency of communication network design and reduce the time-to-market of communication network product, it is important to develop a useful tool to evaluate the communication network performance. Moreover, since the communication network is limited by the on-chip resources, area and power consumption, it is crucial to research the optimization method with various constraint conditions to enhance the communication network performance. This paper demonstrates on the multiple attribute decision making problems to testify the comprehensive performance of communication network with the fuzzy number intuitionistic fuzzy information. Some operations on the fuzzy number intuitionistic fuzzy sets are provided in advance. Afterwards, we propose the fuzzy number intuitionistic fuzzy Hamacher correlated geometric (FNIFHCG) operator. Then, we apply the FNIFHCG operator to tackle the multiple attribute decision making with the fuzzy number intuitionistic fuzzy information. At last, an example to test the performance of communication network is proposed.

From computer science to service science: Queues with human customers and servers

Professor Leonard Kleinrock has made key contributions during the initial stage of development in computer communication networks from several aspects. One of them is the ingenious application of queueing theory to the performance evaluation of communication networks. Queueing theory is still useful in contemporary service systems having human customers and servers as precious resources. However, some new theoretical development is needed to cope with human service systems. In this article, the potential of queueing theory is discussed in the scope of emerging service science. We begin with a snapshot of Professor Kleinrock’s laboratory in the early 1980s. We then review the performance metric called power worked out by Kleinrock as it determines the optimal input rate in a service system. As an example of service science for healthcare, we show modeling of obstetric patient flow in a hospital by means of Little’s law and a network of M/M/m and M/G/∞ queues.

Optimal allocation problem: performance evaluation of communication networks using GA

This paper attempts to provide a comprehensive study of the signal transmission in Linear Multi-state Consecutively-Connected System (LMCCS) considering the effect of noise. Evolutionary algorithms often have to solve optimisation problems in the presence of a wide range of uncertainties. In the proposed genetic model, reliability optimisation is attempted in LMCCS by allocating multistate elements (ME) in various workstations by considering the adverse effects of noise in signal transmission. For the reliability evaluation, Universal Generating Function (UFG) technique is used. The optimal allocation is obtained by means of Genetic Algorithm (GA).

Performance evaluation of communication networks for distributed systems

Distributed control systems are used to monitor and control distributed equipment. With the growth of communication networks, severe congestion problems appeared. To avoid dropping packets and then guarantee the needs of distributed systems in terms of performances and of quality service, some algorithms were put into Transport Control Protocol (TCP). This paper focused on network modelling, study of network dynamic behaviour and of congestion avoidance. It is possible with this network modelling to determine the influence of communication networks on the transmission of control signals. The paper also presents the modelling of a communication line in internet environment. The behaviour of the communication line is modelled as a continuous system. The behaviour of the TCP protocols is seen as a Discrete Event System (DES) model. We choose hybrid Petri Nets (PNs) as a unique modelling tool, as it gives accurate models of the complex functions found in internet connections.

Tools and Techniques for the Performance Evaluation of Communication Networks

Tools and Techniques for the Performance Evaluation of Communication Networks

Computational techniques for accurate performance evaluation of multirate, multihop communication networks

Computational techniques are presented for the connection-level performance evaluation of communication networks, with stochastic multirate traffic, state-dependent admission control, alternate routing, and general topology-all characteristics of emerging integrated service networks. The techniques involve solutions of systems of fixed-point equations, which estimate equilibrium network behaviour. Although similar techniques have been applied with success to single-rate fully connected networks, the curse of dimensionality arises when the techniques are extended to multirate, multihop networks, and the cost of solving the fixed point equations exactly is exponential. This exponential barrier is skirted by exploiting, in particular, a close relationship with the network reliability problem, and by borrowing effective heuristics from the reliability domain. A series of experiments are reported on, comparing the estimates from the new techniques to the results of discrete-event simulations.

Computational techniques for accurate performance evaluation of multirate, multihop communication networks

Computational techniques are presented for connection-level performance evaluation of communication networks, with stochastic multirate traffic, state dependent admission control, alternate routing, and general topology --- all characteristics of emerging integrated service networks. The techniques involve solutions of systems of fixed point equations, which estimate equilibrium network behavior. Though similar techniques have been applied with success to single-rate fully connected networks, the curse of dimensionality arises when the techniques are extended to multirate, multihop networks, and the cost of solving the fixed point equations exactly is exponential. This exponential barrier is skirted by exploiting, in particular, a close relationship with the network reliability problem, and by borrowing effective heuristics from the reliability domain. A series of experiments are reported on, comparing the estimates from the new techniques to the results of discrete event simulations.

Performance evaluation of communication networks based on FSM specifications of protocols

This paper considers the simulation method for the performance evaluation based on the formally described protocol specifications. Here, the simulation using the FSM model is outlined first, and a model called unitary token model, which is derived by simplifying the FSM model, is proposed. The configuration of an experimental system is presented which reads in such a model and executes the simulation. Then the data transfer by four layers, i.e., the transport and the lower layers in OSI model, is considered and an example is shown where the simulation actually is executed for evaluation. From the viewpoint of the method of analysis, the model for the individual process in this paper is the general FSM model, but the waiting due to the sharing of the CPU and the channel among processes is considered as a part of the computation in the simulation. By this elaboration, the performance can be evaluated based on the independent descriptions, even in a situation where several kinds of communications exist as in the case of the two-way communication and the multiplex system. In the simplified model, the result of evaluation can be obtained in a simple way by reducing the task in the execution, by pre-examining the communication protocol that is executed iteratively by the process.

Distributed discrete event simulation for communication networks

A survey of the techniques used in distributed discrete event simulation is presented. Some of the algorithms that have been developed to overcome some of the inherent problems of simulating on distribution systems are then described. The application of distributed discrete event simulation to the performance evaluation of communication networks is addressed. The design and implementation of the DISDESNET (distributed discrete event simulation of networks) simulation package for the simulation of general communication networks is described. Results of tests performed on different configurations are examined and found to demonstrate the flexibility of the package.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>