Software Defined Networks—A Network Programme and Its Dynamic Services

2020 ◽  
Vol 17 (9) ◽  
pp. 3927-3933
Author(s):  
B. Vineetha ◽  
M. Sumana
Keyword(s):  
Control System ◽  
Load Balancing ◽  
Network Services ◽  
Software Defined Networks ◽  
Control Plane ◽  
Service Function ◽  
Flow Through ◽  
And Control ◽  
Dynamic Services ◽  
Network Component

As network component is increasing, the managing and controlling systems from a central based control system becomes very complex. The technology used to resolve this is called Software Defined Networks (SDN) which helps to manage and control the system through programs. SDN stands as a developing technique that divides single network as data and control plane. The benefit of SDN are provides more performance, managing the packet flow through diverse dealer’s organization components. The complexities continued to raise when implementing network services both from technical and organizational views. Here in this paper generally focuses on how organizations can deal with the challenge of introducing service chaining and developing critical network services by using the technology SDN and also delivering diverse services of network to user in one system thus customers can fulfill their desire of services based on requests. The “Service Function Chaining” facility of SDN provides services like Load Balancing, Video Optimizing and Firewall.

scholarly journals Performance Evaluation of Pox Controller for Software Defined Networks

2019 ◽  
Vol 8 (9S2) ◽  
pp. 679-684
Keyword(s):  
Performance Metrics ◽  
Network Control ◽  
Network Services ◽  
Software Defined Network ◽  
Software Defined Networks ◽  
Control Plane ◽  
Data Plane ◽  
Pox Controller ◽  
New Challenges ◽  
And Control

In traditional network the coupling of data plane and control plane makes the data forwarding, processing and managing of the network hard and complex. Here each switch takes its own decision, makes the network logically decentralized. To overcome the limitations in traditional network the Engineers developed a new model network known as Software Defined Network (SDN). This network the control plane is decoupled from the data plane making it less complex. It moreover has a logically centralized approach unlike the existing network. This separation enables the network control to be directly programmable and the architecture to be abstracted for applications and network services. SDN platform provides advantages like programmability, task virtualization and easy management of the network. However, it faces new challenges towards scalability and performances. It is a must to understand and analyze the performances of SDN for implementation and deployment in live network environments. SDN working with POX is studied. This paper analyses the working of POX controller and evaluates the performance metrics of POX controller for SDN environment. The emulation is done using the Emulation software

scholarly journals Architecture of homeostatic security control for digital manufacture systems based on software-defined networks

2018 ◽  
Vol 44 ◽  
pp. 00067
Author(s):  
Evgeny Pavlenko ◽  
Dmitry Zegzhda
Keyword(s):  
Control System ◽  
System Architecture ◽  
Control Unit ◽  
Software Defined Networks ◽  
Decision Making Unit ◽  
Security Control ◽  
Protection And Control ◽  
And Control ◽  
Control System Architecture ◽  
Digital Manufacture

The authors have offered the homeostatic control system architecture for digital manufacture security based on the software-defined network technology. We have highlighted the development features of digital manufacture systems and defined the technology advantages of software- defined networks, which allow these networks to be successfully applied with flexible and adaptive topology for a highly efficient new generation of cyber-physical systems. We have also described the main operating principles of software-defined networks in digital manufacture systems. A description of homeostatic security control technology, which includes a combination of engines to provide stability of the system’s internal environment and structural and functional resistance to external disturbances, is provided. We have proposed and described in detail the homeostatic security control system architecture including three generalized components: monitoring unit, decision-making unit, protection and control unit.

scholarly journals ADAPTIVE ENTROPY-BASED DETECTION AND MITIGATION OF DDOS ATTACKS IN SOFTWARE DEFINED NETWORKS

2020 ◽  
pp. 399-410
Author(s):  
Jawad Dalou' ◽  
Basheer Al-Duwairi ◽  
Mohammad Al-Jarrah
Keyword(s):  
Denial Of Service ◽  
Attack Detection ◽  
Point Of View ◽  
Software Defined Networks ◽  
Distributed Denial Of Service ◽  
Ddos Attacks ◽  
Control Plane ◽  
Data Plane ◽  
And Control ◽  
Sdn Controller

Software Defined Networking (SDN) has emerged as a new networking paradigm that is based on the decoupling between data plane and control plane providing several benefits that include flexible, manageable, and centrally controlled networks. From a security point of view, SDNs suffer from several vulnerabilities that are associated with the nature of communication between control plane and data plane. In this context, software defined networks are vulnerable to distributed denial of service attacks. In particular, the centralization of the SDN controller makes it an attractive target for these attacks because overloading the controller with huge packet volume would result in bringing the whole network down or degrade its performance. Moreover, DDoS attacks may have the objective of flooding a network segment with huge traffic volume targeting single or multiple end systems. In this paper, we propose an entropy-based mechanism for Distributed Denial of Service (DDoS) attack detection and mitigation in SDN networks. The proposed mechanism is based on the entropy values of source and destination IP addresses of flows observed by the SDN controller which are compared to a preset entropy threshold values that change in adaptive manner based on network dynamics. The proposed mechanism has been evaluated through extensive simulation experiments.

scholarly journals An automated monitoring and control system for flow-through co-cycling hypoxia and pH experiments

2015 ◽  
Vol 14 (3) ◽  
pp. 168-185 ◽  
Author(s):  
Rebecca B. Burrell ◽  
Andrew G. Keppel ◽  
Virginia M. Clark ◽  
Denise L. Breitburg
Keyword(s):  
Control System ◽  
Monitoring And Control ◽  
Monitoring And Control System ◽  
Automated Monitoring ◽  
Flow Through ◽  
And Control

scholarly journals A critical review based on Fault Tolerance in Software Defined Networks

2021 ◽  
Vol 12 (2) ◽  
pp. 456-461
Author(s):  
Ms. Shailly
Keyword(s):  
Fault Tolerant ◽  
Decoupling Control ◽  
Critical Survey ◽  
Software Defined Networks ◽  
Control Plane ◽  
Tabular Data ◽  
Plane Failure ◽  
Failure Handling ◽  
Data Plane ◽  
And Control

SDN (Software-Defined Networks) is an incipient architecture of decoupling control plane and data plane involved in dynamic management of network. SDN is being installed in production based networks which ultimately lead to the need of secure and fault tolerant SDN. In the present investigation, we     are discussing about the kind of failures with label happen in SDN. A critical survey based on the recently proposed mechanisms for handling failures in SDN. Initially, we discussed with the help of tabular data involving mechanism of data plane failure. We also discussed the various mechanisms for handling misconfiguration of drift able of switches and control plane failure handling mechanisms. We also epitomize issues with both data and control plane mechanism that are discussed earlier. In the end, we are stating that there is need of build much efficient and secure mechanism for SDN networks.

scholarly journals Load Balancing in Software Defined Networking: A Review

2018 ◽  
Vol 7 (2) ◽  
pp. 1-5
Author(s):  
Prabhjot Kaur ◽  
Jasmeen Kaur Chahal ◽  
Abhinav Bhandari
Keyword(s):  
Load Balancing ◽  
Network Flow ◽  
Software Defined Networking ◽  
Centralized Control ◽  
Control Plane ◽  
Survey Paper ◽  
Data Rates ◽  
Load Balancer ◽  
Service Data ◽  
And Control

Software Defined Networking is an adaptable way of networking, which disconnects data forwarding plane and control-plane of system equipment’s and also solves issues in existing network infrastructure. More specifically, the control-plane of software defined network decides the advancing way of network flow with Centralized Control Manner (CCM). SDN (Software Defined Networking) is a strategy for making, planning and overseeing systems which intend to change this present unfortunate circumstance. It has been used in dissimilar areas, like a campus networks and data center systems. In this survey paper, we’ve reviewed the concept of (SDNs) Software Defined Networks, its architecture and applications. In the survey, it has been found that SDN load balancing has become more smart and efficient and reduces the statistic collection overhead and maintain better QoS (Quality of Service) data rates. In addition, we reviewed the direct routing based algorithms of Load Balancer and compare with Round Robin Strategy. Furthermore, we’ve reviewed and compared the existing work to get better idea about the concept of Load balancing.

scholarly journals Study of Application of Software Defined Network to Real Networks

2018 ◽  
Vol 7 (3.12) ◽  
pp. 854
Author(s):  
T Manoranjitham ◽  
K Sai Vijaya Kumar ◽  
B Varshith
Keyword(s):  
Network Services ◽  
Software Defined Network ◽  
Control Plane ◽  
5G Networks ◽  
Communication Industry ◽  
Data Plane ◽  
Network Operations ◽  
Reduced Costs ◽  
And Control ◽  
Network Administrators

This paper presents the application of Software Defined Network to Real Networks. Software Defined Networking is an intriguing concept in the networking and communication industry which provides various uses, from productive network operations to reduced costs in the networking field. The SDN architecture provides the network administrators to implement new network services and easy management of the network .This operation is done by separating the data plane and control plane that makes decision .The data plane forwards packet and control plane manages traffic.  In this paper we are studying the application of SDN to Real Networks such as SDN for Internet of Things, Artificial Intelligence, 5G Networks, Wireless Networks.

scholarly journals A REVIEW OF FLOW CONFLICTS AND SOLUTIONS IN SOFTWARE DEFINED NETWORKS (SDN)

2021 ◽  
Vol 22 (2) ◽  
pp. 178-187
Author(s):  
Mutaz Hamed Hussien Khairi ◽  
PM. IR. DR. Sharifah Hafizah Syed Ariffin ◽  
PROF. MADYA DR. Nurul Muazzah Abdul Latiff ◽  
DR. Kamaludin Mohamad Yusof ◽  
Mohamed Khalalfalla Hassan
Keyword(s):  
Plane Layer ◽  
Traffic Load ◽  
Detection Methods ◽  
Software Defined Networks ◽  
Security Model ◽  
Control Plane ◽  
Open Flow ◽  
Data Plane ◽  
And Control ◽  
Networking Technology

 Software Defined Networks (SDN) are a modern networking technology introduced to simplify network management via the separation of the data and control planes. Characteristically, flow entries are propagated between the control plane layer and application or data plane layers respectively while following flow table instructions through open flow protocol. More often than not, conflicts in flows occur as a result of traffic load and priority of instructions in the data plane. Several research works have been conducted on flow conflicts in SDN to reduce the effect of conflict. The flow conflict solutions in SDN have three main limitations. First, the OpenFlow table may still cause a defect in the security module according to the priority and action matching in the open flow in the control plane. Second, flow conflict detection requires more time for flow tracking and incremental update, whereas in such a case, delay affects the efficiency of SDN. Besides, the SDN algorithm and mechanism have substantially high memory requirement for instruction and proper functioning. Third, most of the available algorithms and detection methods used to avoid flow conflicts have not fully covered the security model policy. This study reviews these limitations and suggest solutions as future open research directions. ABSTRAK: Rangkaian Perisian Tertentu (SDN) adalah teknologi rangkaian moden yang diperkenalkan bagi memudahkan pengurusan rangkaian melalui pecahan data dan kawalan permukaan. Seperti biasa, aliran kemasukan disebar luas antara lapisan permukaan kawalan dan aplikasi atau lapisan permukaan data masing-masing, sambil mengikuti arahan meja melebar melalui protokol aliran terbuka. Kebiasaannya konflik dalam aliran berlaku disebabkan oleh beban trafik dan keutamaan arahan pada permukaan data. Beberapa kajian dibuat terhadap konflik aliran SDN bagi mengurangkan kesan konflik. Solusi konflik aliran dalam SDN mempunyai tiga kekurangan besar. Pertama, jadual Aliran Terbuka mungkin masih menyebabkan  kekurangan dalam modul keselamatan berdasarkan keutamaan dan tindakan persamaan dalam aliran terbuka permukaan kawalan. Kedua, pengesanan aliran konflik memerlukan lebih masa bagi pengesanan aliran dan peningkatan kemaskini, kerana setiap penangguhan memberi kesan terhadap kecekapan SDN. Selain itu, algoritma SDN dan mekanisme memerlukan memori yang agak besar bagi memproses arahan dan berfungsi dengan baik. Ketiga, kebanyakan algoritma dan kaedah pengesanan yang digunakan bagi mengelak konflik pengaliran tidak sepenuhnya dilindungi polisi model keselamatan. Oleh itu, kajian ini meneliti kekurangan dan memberi cadangan penambahbaikan bagi arah tuju kajian masa depan yang terbuka.

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