2014
DOI: 10.3390/fi6020302
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Software-Defined Networking Using OpenFlow: Protocols, Applications and Architectural Design Choices

Abstract: We explain the notion of software-defined networking (SDN), whose southbound interface may be implemented by the OpenFlow protocol. We describe the operation of OpenFlow and summarize the features of specification versions 1.0-1.4. We give an overview of existing SDN-based applications grouped by topic areas. Finally, we point out architectural design choices for SDN using OpenFlow and discuss their performance implications.

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Cited by 217 publications
(94 citation statements)
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“…3 a) IoT architectural components For any network, layered architecture ensures flexibility and capability of invocation of new services in the network, IoT architecture follows layered architecture. Due to varying IoT domain, architecture and contributing components are not converged however most successful IoT architecture is IoT-A [13]. Many other IoT architecture models are also in the market but most common is -four-layer architecture‖  Perception layer: Perception layer is physical object layer consisting of sensors, actuator, RFIDs, mobile devices, motes, blue tooth etc.…”
Section:  Control Plane (Cp)mentioning
confidence: 99%
“…3 a) IoT architectural components For any network, layered architecture ensures flexibility and capability of invocation of new services in the network, IoT architecture follows layered architecture. Due to varying IoT domain, architecture and contributing components are not converged however most successful IoT architecture is IoT-A [13]. Many other IoT architecture models are also in the market but most common is -four-layer architecture‖  Perception layer: Perception layer is physical object layer consisting of sensors, actuator, RFIDs, mobile devices, motes, blue tooth etc.…”
Section:  Control Plane (Cp)mentioning
confidence: 99%
“…These sensors produce a huge amount of data which travels from source to destination and vice versa using a wireless medium, therefore in order to secure this data, we propose to encrypt the data using Twofish Cryptographic technique Schneier et al, 1999). Furthermore to ensure optimal use of bandwidth and faster data transfer, the concept of Software Defined Networking (SDN) (Xia et al, 2015;Braun & Menth, 2014;Kreutz et al, 2015) has been incorporated in our approach. Finally, in order to perform better analytics and predictions using the data received from these sensors, deep learning techniques have been used.…”
Section: Architecture Of Ioe Based Educational Modelmentioning
confidence: 99%
“…The system controller is the brain of the system which is responsible for coordinating all the activities within the system which dynamically selects the most appropriate path for data transfer on the basis of the real time network traffic inputs. SDN controller is also capable of managing the network traffic, bandwidths and topologies in real time as and when required (Xia et al, 2015;Braun & Menth, 2014;Kreutz et al, 2015).…”
Section: Data Cleaningmentioning
confidence: 99%
“…경로를 예약함으로써 해당 플로우에 대한 최적의 경로를 정적 혹은 동적 라우팅 알고리즘을 통해 설정한다 [3]. ETSI 표준 문서에 따르면 SDN과 NFV는 상호 보완적 인 기술로서 SDN은 네트워크를 추상화하여 가상 네트워 크를 효율적이며 신속한 혁신을 제공한다.…”
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“…ETSI 표준 문서에 따르면 SDN과 NFV는 상호 보완적 인 기술로서 SDN은 네트워크를 추상화하여 가상 네트워 크를 효율적이며 신속한 혁신을 제공한다. NFV는 다양 한 네트워크 기능을 수행하는 방화벽, 침입 탐지 시스템 등의 미들박스를 가상화하여 유연하고 확장 가능한 네트 워크 환경을 제공할 것으로 기대된다 [4]. 하지만 (Table 3) …”
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