scholarly journals How far have we come? A review of MPA network performance indicators in reaching qualitative elements of Aichi Target 11

2020 ◽  
Vol 13 (6) ◽  
Author(s):  
Mairi C. Meehan ◽  
Natalie C. Ban ◽  
Rodolphe Devillers ◽  
Gerald G. Singh ◽  
Joachim Claudet
Keyword(s):  
Performance Indicators ◽  
Network Performance ◽  
Mpa Network

scholarly journals RESEARCH OF SDN NETWORK PERFORMANCE PARAMETERS USING MININET NETWORK EMULATOR

2021 ◽  
pp. 24-32
Author(s):  
Oleksandr Romanov ◽  
Ivan Saychenko ◽  
Anton Marinov ◽  
Serhii Skolets
Keyword(s):  
Simulation Model ◽  
Performance Indicators ◽  
Network Performance ◽  
Complex Structure ◽  
Science Research ◽  
Simulation Modelling ◽  
Network Equipment ◽  
Network Emulator ◽  
Network Technologies ◽  
Routing Tables

Background. The implementation of the new modern services on existing networks requires replacement or modernization of the old equipment. This negatively affects the efficiency of providing users with new types of services and their cost. Therefore, the issues/tasks of implementing SDN technology in the construction of networks are in the center of attention of representatives of science-research organizations and telecom operators. SDN networks have the advantages of flexible scaling of the system without replacing existing server and network equipment, eliminating operator dependence on specific vendor solutions, and rapid implementation of the new network technologies and services. To determine the numerical values of indicators of the functioning of SDN networks and check their compliance with the requirements, it is proposed to use in working process simulation modelling. For these goals, the Open Networking Foundation consortium developed the Mininet network emulator, the elements of that are published publicly. The formation of the simulation model and the procedure for determining the performance indicators of the SDN network that uses Mininet has a number of features that are considered in the work. Objective. The purpose of the article is to build a simulation model based on the Mininet network emulator and to determine the performance indicators of SDN networks of various structures/topologies. Methods. Creation of a SDN network segment for testing process of its functioning in the overload mode of various communication routes. Results. The Mininet network emulator allows simulating SDN networks of a rather complex structure, change the performance of network branches and the amount of load in communication routes, to create a network-wide overload mode. During the simulation, it is possible to determine a number of indicators of network performance, such as the RTT (Round Trip Time) parameter for each route of communication, the bandwidth of branches and routes of communication, the amount of delay on network elements, loading of OpenFlow Switch ports/interfaces, network elements with the highest delay, the number of served and lost packets. Conclusions. Use of the Mininet network emulator is a fairly convenient tool for determining the performance indicators of SDN networks. However, there are also some problems. First of all, setting up the system's operability requires writing programs to ensure the interaction among standard elements from the Mininet library. Secondone, is when congestion occurs in the communication routes, the Floodlight Controller does not automatically balance traffic along the work-around route. This task has to be solved manually by making changes to the OpenFlow Switch routing tables. Keywords: Software Defined Networking; SDN; Mininet; OpenFlow; Floodlight Controller; OpenFlowSwitch; NFV; virtualization.

scholarly journals Development of an integrated computational tool to improve performance of irrigation districts

2012 ◽  
Vol 14 (3) ◽  
pp. 716-730 ◽  
Author(s):  
L. Pérez Urrestarazu ◽  
J. A. Rodríguez Díaz ◽  
E. Camacho Poyato ◽  
R. López Luque ◽  
F. M. Borrego Jaraba
Keyword(s):  
Performance Indicators ◽  
Network Performance ◽  
Hydraulic Modeling ◽  
Hydraulic Model ◽  
Irrigation District ◽  
Improve Performance ◽  
Computer Tool ◽  
Calculation Module ◽  
And Performance

Nowadays irrigation district managers require several tools to assess irrigation networks' performance such as hydraulic models, geographic information systems (GIS) or decision support systems (DSS) which are available but as independent elements. Thus, simplifying the use of these tools by means of applications that integrate all these components would be helpful for irrigation district managers. In this paper, a computer tool combining a GIS, a hydraulic model and performance indicators (PIs) has been developed creating a database to deal with most information required in an irritation district. MapObjects Java Edition was used for the GIS integration and EPANET calculation module for the hydraulic modeling. This tool enables the study of the network performance, taking into account real measures (data from the remote control system) and simulated measures (obtained when running the hydraulic model) which are stored in a database and used to calculate different indicators that can be represented in the GIS. The PIs calculated with this tool give important information regarding the network response to different conditions, malfunction problems and failures in supply. Therefore, this tool is also useful to study the effects of improvements and the quality of service provided to farmers.

scholarly journals Feature Extraction for Dimensionality Reduction in Cellular Networks Performance Analysis

Sensors ◽  
2020 ◽  
Vol 20 (23) ◽  
pp. 6944
Author(s):  
Isabel de-la-Bandera ◽  
David Palacios ◽  
Jessica Mendoza ◽  
Raquel Barco
Keyword(s):  
Feature Extraction ◽  
Mobile Networks ◽  
Mobile Communications ◽  
Performance Indicators ◽  
Network Performance ◽  
Intermediate Stage ◽  
High Dimensionality ◽  
Communications Networks ◽  
Network Observation ◽  
Management Functions

Next-generation mobile communications networks will have to cope with an extraordinary amount and variety of network performance indicators, causing an increase in the storage needs of the network databases and the degradation of the management functions due to the high-dimensionality of every network observation. In this paper, different techniques for feature extraction are described and proposed as a means for reducing this high dimensionality, to be integrated as an intermediate stage between the monitoring of the network performance indicators and their usage in mobile networks’ management functions. Results using a dataset gathered from a live cellular network show the benefits of this approach, in terms both of storage savings and subsequent management function improvements.

scholarly journals CALCULATION OF THE EFFEC TION OF THE EFFECTIVENESS OF THE FUNC TIVENESS OF THE FUNCTIONING TIONING OF MULTISERVICE COMMUNICA VICE COMMUNICATION NE TION NETWORKS T WORKS TAKING IN AKING INTO ACCOUNT DROPPED P T DROPPED PACKETS

2020 ◽  
Vol 4 (6) ◽  
pp. 21-32
Author(s):  
Gulrukh Bakhtiyorovna Sherboboyeva ◽  
Keyword(s):  
Communication Networks ◽  
Performance Indicators ◽  
Network Performance ◽  
Computer Network ◽  
Neural Model ◽  
Multiservice Network ◽  
Network Methods ◽  
Fuzzy Neural ◽  
Technical And Economic Indicators ◽  
Large Groups

Background. The article discusses the formalization of performance indicators of a multiservice network management system based on the use of hybrid neural-fuzzy technology that combines the advantages of fuzzy logic and neural networks. A developed fuzzy neural model was subsequently used to make a decision about the transfer of real time streams through the channel of the multi-servo network. Methods for assessing the effectiveness of multiservice communication networks can be conditionally divided into three large groups: technical, economic and technical and economic. As the technical characteristics of the efficiency of the computer network, various indicators of network performance and reliability are used. Estimates of the costs of designing, installing and maintaining the network are used as economic characteristics. Technical and economic indicators are used for a comprehensive assessment of the project, and include various combinations of technical and economic characteristics. The response time is an integral performance characteristic, the most important for the network subscriber.

scholarly journals Chapter 2 of Network Performance and Quality of Service: Determination of Key Performance Indicator (KPI)

2018 ◽  
Author(s):  
Sigit Haryadi
Keyword(s):  
Performance Indicators ◽  
Network Performance ◽  
Performance Indicator ◽  
Quality Parameters ◽  
International Standards ◽  
Telecommunication Service ◽  
Key Performance Indicator ◽  
Target Values ◽  
Qos Parameters

Contents of the Chapter: 1.The contents of Telecommunication Service Performance Indicators; 2.Procedure of Key Performance Indicators Determination; 3.Target Values Determination; 4.Examples of the KPI (Key Performance Indicator); 5.Details of Quality Parameters in the Various International Standards; 5.1.ITU-T QoS Parameters; 5.2.ETSI- QoS Parameters; 5.3.3GPP QoS Parameters; 5.4.GSM Association Parameters

scholarly journals A Multiple-Parameter Methodology for Placement of Tsunami Sensor Networks

2019 ◽  
Vol 177 (3) ◽  
pp. 1451-1470 ◽  
Author(s):  
Joaquín Meza ◽  
Patricio A. Catalán ◽  
Hiroaki Tsushima
Keyword(s):  
Performance Indicators ◽  
Network Performance ◽  
Predictive Accuracy ◽  
Warning System ◽  
Tsunami Forecast ◽  
Forecast Performance ◽  
Tsunami Early Warning ◽  
Location Methods ◽  
Synthetic Target

AbstractA methodology to optimize the design of an offshore tsunami network array is presented, allowing determination of the placement of sensors to be used in a tsunami early warning system framework. The method improves on previous sensor location methods by integrating three commonly used tsunami forecast performance indicators as a measure of the predictive accuracy through a single cost function. The joint use of different tsunami parameters allows for a network that is less subject to bias found when using a single parameter. The resulting network performance was tested using a set of synthetic target scenarios and also verified against a model of the 2014 Pisagua event, suggesting that having such a network in place could have provided meaningful information for the hazard assessment. The small number of sensors required (three spanning nearly 700 km of the Northern Chile coast) may be useful in implementing such networks in places where funding of denser arrays is difficult.

Application of Performance Baseline in Network Measurement

2010 ◽  
Vol 29-32 ◽  
pp. 1193-1198
Author(s):  
Xi Jiong Jiang ◽  
Hong Qi Feng
Keyword(s):  
Performance Measurement ◽  
Performance Indicators ◽  
Network Performance ◽  
Process Management ◽  
Network Measurement ◽  
Management Model ◽  
Baseline Measurement ◽  
Production Network ◽  
Ip Network ◽  
And Control

This document analyzes characteristics of IP network measurement and common network performance indicators, and proposes the measurement guide of baseline theory aiming at traditional network measurement that focuses on measurement result and neglects process management and control. The article normalizes network performance baseline measurement, describes network performance baseline setting, designs baseline measurement management model, and optimizes and improves network performance measurement program by taking throughput baseline measurement in production network performance measurement as example.

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