ROUTING IMPLEMENTATION BASED-ON SOFTWARE DEFINED NETWORK USING RYU CONTROLLER AND OPENVSWITCH

2016 ◽  
Vol 78 (5) ◽  
Author(s):  
Yuli Sun Hariyani ◽  
Indrarini Dyah Irawati ◽  
Danu Dwi S. ◽  
Mohammad Nuruzzamanirridha
Keyword(s):  
Control Function ◽  
Raspberry Pi ◽  
Small Scale ◽  
Software Defined Network ◽  
Standard Protocol ◽  
Open Flow ◽  
Control Functions ◽  
Forward Function ◽  
And Control ◽  
Sdn Controller

Open Flow is a standard protocol for differentiating forward function and control functions to facilitate the management of big network of SDN. The research have been carried out before using the emulator SDN Mininet. However Mininet has many shortcomings, such as the performance of which is less than the maximum due to simulation. Then some researchers also use the Net-FPGA as device. This device is less suitable for small scale because the prices are quite expensive and programming is quite complicated. In this study, SDN implementation carried out using OpenvSwitch as forwarding function mounted on TP-Link that has modificated using openwrt as firmware and Raspberry Pi with Ryu SDN Controller as control functions. The result shows that routing static can be implemented on SDN Network which use Raspberry Pi with Ryu Controller as control function with average bandwith 536.0909 Mbits/sec and average uptime network is 10.45 second.

scholarly journals DDoS Mitigation using Software Defined Network

2019 ◽  
Author(s):  
Girish L
Keyword(s):  
High Performance ◽  
Threshold Value ◽  
Software Defined Network ◽  
Control Plane ◽  
New Approach ◽  
Open Flow ◽  
Standard Interface ◽  
And Control ◽  
Sdn Controller ◽  
Centralized System

Software Defined Networking (SDN),is an archetype which decouples the control plane and data plane.Data plane is used to just forward the data and control plane is used to decide how data should be forwarded. Open networking Foundation (ONF) is a group that is used in the development of SDN. For interfacing of control plane and data plane in SDN requires some protocol. One such protocol is Open Flow. The first standard interface designed for SDN is Open Flow. It provides high-performance, controlling granular traffic across multiple vendor’s network devicesAs the network infrastructure of an organization grows, it’s very difficult to manage and control such networks from a centralized system like laptop through programs. As an attempt in this paper we are adopting the SDN technology to manage and control the networks programmatically. In thispaper we are addressing the two issues for providing security to the network from DDoS mitigation and balancing of the load using SDN.In this paper for DDoS mitigation we are assigning a threshold value so that the SDN controller resists the DdoS attack programmatically. For Load balancing is to maximize throughput, minimizes response time, avoid overload by using round robin or random policy method using a new approach called SDN.

scholarly journals An Efficient Zero-Knowledge Proof Based Identification Scheme for Securing Software Defined Network

2019 ◽  
Vol 20 (1) ◽  
pp. 181-189
Author(s):  
Hamza Mutaher Alshameri ◽  
Pradeep Kumar
Keyword(s):  
Software Defined Network ◽  
Control Plane ◽  
Zero Knowledge ◽  
Identification Scheme ◽  
Security Issues ◽  
Other Information ◽  
And Control ◽  
Network Device ◽  
Sdn Controller ◽  
Zero Knowledge Proof

Software Defined Networking (SDN) is being extensively adopted by researchers and enterprise networks due to its feature of decoupling data and control planes from network device which enables them to implement new networking ideas. Communication between data and control planes faces various security issues where many users in data plane approach controller device in control plane to gain networking policies. In this paper, we proposed an efficient Zero-knowledge proof based identification scheme for securing SDN controller during data and control plane communication. This scheme ensures that only users who prove their knowledge about secrecy without revealing actual secret or any other information about it can communicate with controller. The computation cost was calculated to validate efficiency of the proposed work and compared with scheme that works in the basis of Kerberos authentication protocol.

A Hierarchical Coordinated Control Method for Low Voltage Micro-Grid in Intelligent Community

2012 ◽  
Vol 263-266 ◽  
pp. 545-552
Author(s):  
Yi Rong Su ◽  
Shuang Hu Wang ◽  
Bing Wen Wang ◽  
Hai Long Bao
Keyword(s):  
Control Method ◽  
Low Voltage ◽  
Control Function ◽  
System Control ◽  
Level Control ◽  
Control Functions ◽  
Operation Control ◽  
Micro Grid ◽  
Intelligent Community ◽  
And Control

The operation control of the micro-grid system is the foundation to protect micro-grid equipment, to realize associate control and optimize economic operation. Looking on Chenjiazhen micro-grid in Shanghai as model, the paper set three hierarchical controls: protection control, micro-grid coordinated controller control which can achieve millisecond time precision and intelligent community energy management system control. Different level control function has been divided. Control functions in all levels complement each other and collaborate together to achieve the coordination and control of micro-grid running.

scholarly journals A Microforecasting Module for Energy Management in Residential and Tertiary Buildings †

Energies ◽  
2019 ◽  
Vol 12 (6) ◽  
pp. 1006 ◽  
Author(s):  
Sergio Bruno ◽  
Gabriella Dellino ◽  
Massimo La Scala ◽  
Carlo Meloni
Keyword(s):  
Energy Management ◽  
Predictive Control ◽  
Moving Average ◽  
Hierarchical Control ◽  
Control Device ◽  
Small Scale ◽  
Monitoring And Control ◽  
Control Functions ◽  
The Right ◽  
And Control

The paper describes the methodology used for developing an electric load microforecasting module to be integrated in the Energy Management System (EMS) architecture designed and tested within the “Energy Router” (ER) project. This Italian R&D project is aimed at providing non-industrial active customers and prosumers with a monitoring and control device that would enable demand response through optimization of their own distributed energy resources (DERs). The optimal control of resources is organized with a hierarchical control structure and performed in two stages. A cloud-based computation platform provides global control functions based on model predictive control whereas a closed-loop local device manages actual monitoring and control of field components. In this architecture, load forecasts on a small scale (a single residential or tertiary building) are needed as inputs of the predictive control problem. The microforecasting module aimed at providing such inputs was designed to be flexible, adaptive, and able to treat data with low time resolution. The module includes alternative forecasting techniques, such as autoregressive integrated moving average (ARIMA), neural networks, and exponential smoothing, allowing the application of the right forecasting strategy each time. The presented test results are based on a dataset acquired during a monitoring campaign in two pilot systems, installed during the ER Project in public buildings.

scholarly journals Exploring the Shifting Geographical Pattern of the Global Command-and-Control Function of Cities

2021 ◽  
Vol 13 (22) ◽  
pp. 12798
Author(s):  
Piotr Raźniak ◽  
György Csomós ◽  
Sławomir Dorocki ◽  
Anna Winiarczyk-Raźniak
Keyword(s):  
New York ◽  
Global Economy ◽  
Control Function ◽  
Command And Control ◽  
Market Value ◽  
Geographical Pattern ◽  
Corporate Headquarters ◽  
Control Functions ◽  
And Control ◽  
The Impact

In recent years, some cities have experienced significant growth in terms of command and control functions of cities, and thus have managed to relocate themselves to a much upscale position in the global economy. The main goal of this study is to examine the command-and-control function of cities and the impact of the relocation of corporate headquarters on a city’s command-and-control function. The study examines the changes in the revenues of companies located in selected cities and countries and measure the command-and-control function (“C&C”) of cities that well illustrates the strength of cities and countries in the global economy. To achieve our goals, we employ a composite indicator, the Command and Control Index that integrates such fundamental financial data of companies as revenues, profits, market value, and assets. In the analysis, we consider the companies that are listed by Forbes Global 2000. Our findings reinforce that the command-and-control function of the traditional centers of corporate headquarters has been lessening for a while, whereas cities located in developing countries and China in the first place have been occupying an increasing position in the global command and control. Now, we are experiencing the robust growth of Beijing’s command-and-control function index, and the decline of that index of the former leaders (i.e., New York, London, and Tokyo). We can also draw the conclusion that the migration of headquarters does not significantly impact the change of cities’ command-and-control function. In addition, when relocating the headquarters, most companies have remained within the same country and some of them have not even left the metropolitan area itself. In recent years, the number of those companies that have relocated the corporate headquarters has increased, and they have experienced increase in their revenues as well. To attract more corporate headquarters, cities has to offer an attractive environment for companies which strategy should be supported by such governmental initiatives as the reduction of corporate taxes for relocated companies.

Assessment of the Efficiency of Tax Authorities In the Time of the Economy Digitalization

2018 ◽  
Vol 11 (2) ◽  
pp. 149-154
Author(s):  
E. E. Smirnova
Keyword(s):  
Control Function ◽  
Control Policy ◽  
Digital Economy ◽  
Service Function ◽  
Control Functions ◽  
The Subject ◽  
Definition Of ◽  
And Control ◽  
Control Implementation

The paper examines current aspects of the tax control policy ensuring timely and full budget gains during the transition to the digital economy. The subject of the research is managerial and tax relations under the economy digitalization conditions. The objectives of the research are the definition of targets for improving the efficiency of the service and control functions of tax authorities and determining the specifics of choosing indicators for the digitalization of the economy. The paper analyzes the efficiency of tax authorities by two criteria: the quality of providing the state services and the quality of the tax control implementation. It is concluded that the transformation of the activities of tax authorities in the digital economy with a shift from the exclusively control function tawards the emphasis on the service function requires a change in the tax employees motivation system and a higher degree of automation of their work.

An Agency Theory Perspective on Corruption in Sport: The Case of the International Olympic Committee

2006 ◽  
Vol 20 (1) ◽  
pp. 52-73 ◽  
Author(s):  
Daniel S. Mason ◽  
Lucie Thibault ◽  
Laura Misener
Keyword(s):  
Decision Making ◽  
Agency Theory ◽  
Control Function ◽  
International Olympic Committee ◽  
Sport Organizations ◽  
Control Functions ◽  
Management Function ◽  
Olympic Movement ◽  
Corrupt Behavior ◽  
And Control

This article discusses agency problems in sport organizations in which the same individuals are involved in both the management and control of decision making. We focus our analysis on the case of the International Olympic Committee (IOC) by reviewing the behavior of selected IOC members with regard to the bidding process for the Olympic Games and the resulting reform attempts made by the IOC in an effort to address issues of corruption. After a review of examples of corrupt behavior on the part of IOC members, agency theory is introduced to discuss IOC reforms and provide some suggestions for future reform. We propose incorporating other stakeholders (in addition to the IOC members), such as corporate partners, media conglomerates, and other members of the Olympic movement (e.g., athletes, coaches, officials), into management and control functions. More specifi cally, it is suggested that these stakeholders comprise a board that oversees the operations of the IOC (similar to the IOC’s current executive committee) and be given the ability to remove and/or sanction IOC members who act self-interestedly to the detriment of the Olympic movement. Thus, by delegating the control function of decision making to a board and the management function to internal agents, greater accountability for all organization members can be achieved.

scholarly journals Local CPG Self Growing Network Model with Multiple Physical Properties

2020 ◽  
Vol 10 (16) ◽  
pp. 5497
Author(s):  
Ming Liu ◽  
Mantian Li ◽  
Fusheng Zha ◽  
Pengfei Wang ◽  
Wei Guo ◽  
...  
Keyword(s):  
Neural Network ◽  
Growth And Development ◽  
Control Function ◽  
Axon Growth ◽  
Control Model ◽  
Control Network ◽  
Transfer Model ◽  
Axon Membrane ◽  
Control Functions ◽  
And Control

Compared with traditional control methods, the advantage of CPG (Central Pattern Generator) network control is that it can significantly reduce the size of the control variable without losing the complexity of its motion mode output. Therefore, it has been widely used in the motion control of robots. To date, the research into CPG network has been polarized: one direction has focused on the function of CPG control rather than biological rationality, which leads to the poor functional adaptability of the control network and means that the control network can only be used under fixed conditions and cannot adapt to new control requirements. This is because, when there are new control requirements, it is difficult to develop a control network with poor biological rationality into a new, qualified network based on previous research; instead, it must be explored again from the basic link. The other direction has focused on the rationality of biology instead of the function of CPG control, which means that the form of the control network is only similar to a real neural network, without practical use. In this paper, we propose some physical characteristics (including axon resistance, capacitance, length and diameter, etc.) that can determine the corresponding parameters of the control model to combine the growth process and the function of the CPG control network. Universal gravitation is used to achieve the targeted guidance of axon growth, Brownian random motion is used to simulate the random turning of axon self-growth, and the signal of a single neuron is established by the Rall Cable Model that simplifies the axon membrane potential distribution. The transfer model, which makes the key parameters of the CPG control network—the delay time constant and the connection weight between the synapses—correspond to the axon length and axon diameter in the growth model and the growth and development of the neuron processes and control functions are combined. By coordinating the growth and development process and control function of neurons, we aim to realize the control function of the CPG network as much as possible under the conditions of biological reality. In this way, the complexity of the control model we develop will be close to that of a biological neural network, and the control network will have more control functions. Finally, the effectiveness of the established CPG self-growth control network is verified through the experiments of the simulation prototype and experimental prototype.

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