Academic literature on the topic 'Data Center, Software Defined Networking, SDN'
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Journal articles on the topic "Data Center, Software Defined Networking, SDN"
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Ali, Tariq Emad, Ameer Hussein Morad, and Mohammed A. Abdala. "Traffic management inside software-defined data centre networking." Bulletin of Electrical Engineering and Informatics 9, no. 5 (October 1, 2020): 2045–54. http://dx.doi.org/10.11591/eei.v9i5.1928.
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In recent years, data centre (DC) networks have improved their rapid exchanging abilities. Software-defined networking (SDN) is presented to alternate the impression of conventional networks by segregating the control plane from the SDN data plane. The SDN presented overcomes the limitations of traditional DC networks caused by the rapidly incrementing amounts of apps, websites, data storage needs, etc. Software-defined networking data centres (SDN-DC), based on the open-flow (OF) protocol, are used to achieve superior behaviour for executing traffic load-balancing (LB) jobs. The LB function divides the traffic-flow demands between the end devices to avoid links congestion. In short, SDN is proposed to manage more operative configurations, efficient enhancements and further elasticity to handle massive network schemes. In this paper the opendaylight controller (ODL-CO) with new version OF 1.4 protocol and the ant colony optimization algorithm is proposed to test the performance of the LB function using IPv6 in a SDN-DC network by studying the throughput, data transfer, bandwidth and average delay performance of the networking parameters before and after use of the LB algorithm. As a result, after applying the LB, the throughput, data transfer and bandwidth performance increased, while the average delay decreased.
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Kaur, Prabhjot, Jasmeen Kaur Chahal, and Abhinav Bhandari. "Load Balancing in Software Defined Networking: A Review." Asian Journal of Computer Science and Technology 7, no. 2 (August 5, 2018): 1–5. http://dx.doi.org/10.51983/ajcst-2018.7.2.1859.
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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.
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Ali, Jehad, Gyu-min Lee, Byeong-hee Roh, Dong Kuk Ryu, and Gyudong Park. "Software-Defined Networking Approaches for Link Failure Recovery: A Survey." Sustainability 12, no. 10 (May 22, 2020): 4255. http://dx.doi.org/10.3390/su12104255.
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Deployment of new optimized routing rules on routers are challenging, owing to the tight coupling of the data and control planes and a lack of global topological information. Due to the distributed nature of the traditional classical internet protocol networks, the routing rules and policies are disseminated in a decentralized manner, which causes looping issues during link failure. Software-defined networking (SDN) provides programmability to the network from a central point. Consequently, the nodes or data plane devices in SDN only forward packets and the complexity of the control plane is handed over to the controller. Therefore, the controller installs the rules and policies from a central location. Due to the central control, link failure identification and restoration becomes pliable because the controller has information about the global network topology. Similarly, new optimized rules for link recovery can be deployed from the central point. Herein, we review several schemes for link failure recovery by leveraging SDN while delineating the cons of traditional networking. We also investigate the open research questions posed due to the SDN architecture. This paper also analyzes the proactive and reactive schemes in SDN using the OpenDayLight controller and Mininet, with the simulation of application scenarios from the tactical and data center networks.
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Emad Ali, Tariq, Ameer Hussein Morad, and Mohammed A. Abdala. "Load Balance in Data Center SDN Networks." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 5 (October 1, 2018): 3084. http://dx.doi.org/10.11591/ijece.v8i5.pp3084-3091.
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<span>In the last two decades, networks had been changed according to the rapid changing in its requirements. The current Data Center Networks have large number of hosts (tens or thousands) with special needs of bandwidth as the cloud network and the multimedia content computing is increased. The conventional Data Center Networks (DCNs) are highlighted by the increased number of users and bandwidth requirements which in turn have many implementation limitations. The current networking devices with its control and forwarding planes coupling result in network architectures are not suitable for dynamic computing and storage needs. Software Defined networking (SDN) is introduced to change this notion of traditional networks by decoupling control and forwarding planes. So, due to the rapid increase in the number of applications, websites, storage space, and some of the network resources are being underutilized due to static routing mechanisms. To overcome these limitations, a Software Defined Network based Openflow Data Center network architecture is used to obtain better performance parameters and implementing traffic load balancing function. The load balancing distributes the traffic requests over the connected servers, to diminish network congestions, and reduce underutilization problem of servers. As a result, SDN is developed to afford more effective configuration, enhanced performance, and more flexibility to deal with huge network designs</span>
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Zhang, Ting, and Bin Liu. "Exposing End-to-End Delay in Software-Defined Networking." International Journal of Reconfigurable Computing 2019 (March 4, 2019): 1–12. http://dx.doi.org/10.1155/2019/7363901.
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Software-Defined Networking (SDN) shows us a promising picture to deploy the demanding services in a fast and cost-effective way. Till now, most SDN use cases are deployed in enterprise/campus networks and data center networks. However, when applying SDN to the large-scale networks, such as Wide Area Network (WAN), the end-to-end delay of packet traversal is suspected to be very large and needs to be further investigated. Moreover, stringent time constraint is the cornerstone for real-time applications in SDN. Understanding the packet delay in SDN-based large networks is crucial for the proper design of switch architecture and the optimization of network algorithms such as flow control algorithms. In this paper, we present a thorough systematic exploration on the end-to-end delay in SDN which consists of multiple nodes, fully exposing the components which contribute to the long delay. We disclose that SDN switches cannot completely avoid the generation of flow setup even in proactive mode and conduct data mining on the probability of flow setup. We propose an analytical model for the end-to-end delay. This model takes into account the impact of the different rule installation time consumption on different switches. Considering the delay in switches contributes a large proportion to the entire delay, we conduct various measurements on the delay of a single switch. Results for the delay at different flow setup rates and with different rule priority patterns are presented. Furthermore, we study the impact on packet delay caused by ternary content addressable memory (TCAM) update. We measure parameters in the delay model and find that if SDN is deployed in all segments of WAN, the delay of packet traversal will be increased up to 27.95 times in the worst case in our experimental settings, compared with the delay in conventional network. Such high delay may eventually lead the end-to-end connections fail to complete if no additional measures are taken.
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Mustafa, Firas M. "Software Defined Networking Based Optical Network: A review." Academic Journal of Nawroz University 9, no. 2 (June 29, 2020): 139. http://dx.doi.org/10.25007/ajnu.v9n2a718.
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In the field of networking, software-defined networking (SDN) has obtained a lot of concentration from both academic and industry, and it aims to provide a flexible and programmable level of control, beside obtain efficient control and management of network systems. For such reasons, the software-defined networks (SDN) can be deemed as an essential task to accomplish these requirements. In the datacenters and networks, the SDN is used to allow the administrators of the networks to start programming, controlling, changing, and managing dynamically the network behavior with open interfaces and a reflection of lower-level functionality because the need for SDN-like switching technology has become evident for many users of network equipment, especially in large data centers. There are many algorithms and applications that have been considered in SDN such as (FP-MA), EON, (EQUAL-APP) (VONCR-APP), and (T-SDN) as use cases for approval purposes because the SDN provides several focal points to the power, operation, and administration of extensive range networks. This paper aims to review Optical Network using SDN, where many types of research papers are present techniques to improve near-optimal traffic engineering and management; measurement and monitoring of the significant parameters of the optical networks and manage the cross-layer issues such as debugging and testing.
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Rozhon, Jan, Filip Rezac, Jakub Jalowiczor, and Ladislav Behan. "Augmenting Speech Quality Estimation in Software-Defined Networking Using Machine Learning Algorithms." Sensors 21, no. 10 (May 17, 2021): 3477. http://dx.doi.org/10.3390/s21103477.
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With the increased number of Software-Defined Networking (SDN) installations, the data centers of large service providers are becoming more and more agile in terms of network performance efficiency and flexibility. While SDN is an active and obvious trend in a modern data center design, the implications and possibilities it carries for effective and efficient network management are not yet fully explored and utilized. With most of the modern Internet traffic consisting of multimedia services and media-rich content sharing, the quality of multimedia communications is at the center of attention of many companies and research groups. Since SDN-enabled switches have an inherent feature of monitoring the flow statistics in terms of packets and bytes transmitted/lost, these devices can be utilized to monitor the essential statistics of the multimedia communications, allowing the provider to act in case of network failing to deliver the required service quality. The internal packet processing in the SDN switch enables the SDN controller to fetch the statistical information of the particular packet flow using the PacketIn and Multipart messages. This information, if preprocessed properly, can be used to estimate higher layer interpretation of the link quality and thus allowing to relate the provided quality of service (QoS) to the quality of user experience (QoE). This article discusses the experimental setup that can be used to estimate the quality of speech communication based on the information provided by the SDN controller. To achieve higher accuracy of the result, latency characteristics are added based on the exploiting of the dummy packet injection into the packet stream and/or RTCP packet analysis. The results of the experiment show that this innovative approach calculates the statistics of each individual RTP stream, and thus, we obtain a method for dynamic measurement of speech quality, where when quality decreases, it is possible to respond quickly by changing routing at the network level for each individual call. To improve the quality of call measurements, a Convolutional Neural Network (CNN) was also implemented. This model is based on two standard approaches to measuring the speech quality: PESQ and E-model. However, unlike PESQ/POLQA, the CNN-based model can take delay into account, and unlike the E-model, the resulting accuracy is much higher.
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Chakravarthy, V. Deeban, and B. Amutha. "Path based load balancing for data center networks using SDN." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 4 (August 1, 2019): 3279. http://dx.doi.org/10.11591/ijece.v9i4.pp3279-3285.
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Due to the increase in the number of users on the internet and the number of applications that is available in the cloud makes Data Center Networking (DCN) has the backbone for computing. These data centre requires high operational cost and also experience the link failures and congestions often. Hence the solution is to use Software Defined Networking (SDN) based load balancer which improves the efficiency of the network by distributing the traffic across multiple paths to optimize the efficiency of the network. Traditional load balancers are very expensive and inflexible. These SDN load balancers do not require costly hardware and can be programmed, which it makes it easier to implement user-defined algorithms and load balancing strategies. In this paper, we have proposed an efficient load balancing technique by considering different parameters to maintain the load efficiently using Open FlowSwitches connected to ONOS controller.
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Varun Kumar, K. A., and D. Arivudainambi. "Performance analysis of security framework for software defined network architectures." International Journal of Advances in Applied Sciences 8, no. 3 (September 1, 2019): 232. http://dx.doi.org/10.11591/ijaas.v8.i3.pp232-242.
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<p>Software defined data centers (SDDC) and software defined networking (SDN) are two emerging areas in the field of cloud data centers. SDN based centrally controlled services takes a global view of the entire cloud infrastructure between SDDC and SDN, whereas Network Function Virtualization (NFV) is widely used for providing virtual networking between host and Internet Service Providers (ISP’s). Some Application as a Service used in NFV data centers have a wide range in building security services like Virtual firewalls, Intrusion Detection System (IDS), load balancing, bandwidth allocation and management. In this paper, a novel security framework is proposed to combat SDDC and SDN based on NFV security features. The proposed framework consists of a Virtual firewall and an efficient bandwidth manager to handle multiple heterogeneous application requests from different ISPs. Real time data were taken from an experiment for a week and A new simulation based proof of concept is admitted in this paper for validation of the proposed framework which was deployed in real time SDNs using Mininet and POX controller.</p>
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Badotra, Sumit, and S. N. Panda. "A REVIEW ON SOFTWARE-DEFINED NETWORKING ENABLED IOT CLOUD COMPUTING." IIUM Engineering Journal 20, no. 2 (December 2, 2019): 105–26. http://dx.doi.org/10.31436/iiumej.v20i2.1130.
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Making use of Internet of Things (IoT) is becoming the necessity of today’s life. The data collected and stored through IoT devices comes from the cloud and therefore cloud computing is acting as a backbone for supporting IoT. But it is easy to forget that the cloud is not completely digital in some areas of the world and there is a need for a data centre where data storage can be achieved. Cloud data centres are facing many difficulties and issues because they are using traditional methods of networking. This is where Software Defined Networking (SDN) has come into view; where it has changed the way traditional networks are operated. For example, the separation of the intelligence of the network devices within the data path can be useful in making networks agile and manageable. This paper aims to provide problem areas in the networking used by the cloud data centres and the role of SDN to overcome these issues. Platforms for providing the experimental setup for collaboration between SDN and cloud will ultimately be beneficial in setting up the SDN- enabled IoT cloud, and this is also discussed with the open research problems.
ABSTRAK: Penggunaan Internet Benda (IoT) menjadi keperluan kepada kehendak hari ini. Data yang dikumpul dan disimpan melalui peranti IoT berasal dari awan dan oleh itu pengkomputeran awan bertindak sebagai tulang belakang bagi menyokong IoT. Tetapi, satu perkara yang dilupakan adalah bahawa awan itu tidak sepenuhnya digital, di suatu tempat dalam dunia ini, terdapat keperluan pada pusat data di mana penyimpanan data boleh dicapai. Pusat data awan menghadapi banyak masalah dan isu kerana ianya menggunakan kaedah rangkaian tradisional. Di sinilah Perisian Definisi Perangkaian (SDN) dipandang; ia telah mengubah cara rangkaian tradisional dikendalikan. Sebagai contoh, pemisahan kecerdasan peranti rangkaian dengan laluan data berguna bagi membuat rangkaian pintar dan boleh diurus. Kajian ini bertujuan bagi menyediakan ruang masalah dalam rangkaian yang digunakan oleh pusat Data Awan dan peranan SDN dalam mengatasi masalah ini. Platform persediaan eksperimen bagi kerjasama SDN dan awan akhirnya bermanfaat dalam menubuhkan pengaktifan-SDN awan IOT, juga turut dibincangkan dalam kajian ini berkenaan masalah penyelidikan terbuka.
Dissertations / Theses on the topic "Data Center, Software Defined Networking, SDN"
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Renzi, Gianluca. "Controllo generalizzato via software di dispositivi per l'interconnessione flessibile di data center." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amslaurea.unibo.it/8524/.
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Tammana, Praveen Aravind Babu. "Software-defined datacenter network debugging." Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/31326.
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Software-defined Networking (SDN) enables flexible network management, but as networks evolve to a large number of end-points with diverse network policies, higher speed, and higher utilization, abstraction of networks by SDN makes monitoring and debugging network problems increasingly harder and challenging. While some problems impact packet processing in the data plane (e.g., congestion), some cause policy deployment failures (e.g., hardware bugs); both create inconsistency between operator intent and actual network behavior. Existing debugging tools are not sufficient to accurately detect, localize, and understand the root cause of problems observed in a large-scale networks; either they lack in-network resources (compute, memory, or/and network bandwidth) or take long time for debugging network problems. This thesis presents three debugging tools: PathDump, SwitchPointer, and Scout, and a technique for tracing packet trajectories called CherryPick. We call for a different approach to network monitoring and debugging: in contrast to implementing debugging functionality entirely in-network, we should carefully partition the debugging tasks between end-hosts and network elements. Towards this direction, we present CherryPick, PathDump, and SwitchPointer. The core of CherryPick is to cherry-pick the links that are key to representing an end-to-end path of a packet, and to embed picked linkIDs into its header on its way to destination. PathDump is an end-host based network debugger based on tracing packet trajectories, and exploits resources at the end-hosts to implement various monitoring and debugging functionalities. PathDump currently runs over a real network comprising only of commodity hardware, and yet, can support surprisingly a large class of network debugging problems with minimal in-network functionality. The key contributions of SwitchPointer is to efficiently provide network visibility to end-host based network debuggers like PathDump by using switch memory as a "directory service" - each switch, rather than storing telemetry data necessary for debugging functionalities, stores pointers to end hosts where relevant telemetry data is stored. The key design choice of thinking about memory as a directory service allows to solve performance problems that were hard or infeasible with existing designs. Finally, we present and solve a network policy fault localization problem that arises in operating policy management frameworks for a production network. We develop Scout, a fully-automated system that localizes faults in a large scale policy deployment and further pin-points the physical-level failures which are most likely cause for observed faults.
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Joy, Sijo. "Improving Flow Completion Time and Throughput in Data Center Networks." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/32098.
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Today, data centers host a wide variety of applications which generate a mix of diverse internal data center traffic. In a data center environment 90% of the traffic flows, though they constitute only 10% of the data carried around, are short flows with sizes up to a maximum of 1MB. The rest 10% constitute long flows with sizes in the range of 1MB to 1GB. Throughput matters for the long flows whereas short flows are latency sensitive. This thesis studies various data center transport mechanisms aimed at either improving flow completion time for short flows or throughput for long flows. Thesis puts forth two data center transport mechanisms: (1) for improving flow completion time for short flows (2) for improving throughput for long flows. The first data center transport mechanism proposed in this thesis, FA-DCTCP (Flow Aware DCTCP), is based on Data Center Transmission Control Protocol (DCTCP). DCTCP is a Transmission Control Protocol (TCP) variant for data centers pioneered by Microsoft, which is being deployed widely in data centers today. DCTCP congestion control algorithm treats short flows and long flows equally. This thesis demonstrate that, treating them differently by reducing the congestion window for short flows at a lower rate compared to long flows, at the onset of congestion, 99th percentile of flow completion time for short flows could be improved by up to 32.5%, thereby reducing their tail latency by up to 32.5%. As per data center traffic measurement studies, data center internal traffic often exhibit predefined patterns with respect to the traffic flow mix. The second data center transport mechanism proposed in this thesis shows that, insights into the internal data center traffic composition could be leveraged to achieve better throughput for long flows. The mechanism for the same is implemented by adopting the Software Defined Networking paradigm, which offers the ability to dynamically adapt network configuration parameters based on network observations. The proposed solution achieves up to 22% improvement in long flow throughput, by dynamically adjusting network element’s QoS configurations, based on the observed traffic pattern.
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Ijiga, Owoicho Emmanuel. "SDN-based adaptive data-enabled channel estimation in the internet of maritime things for QoS enhancement in nautical radio networks." Thesis, University of Pretoria, 2021. http://hdl.handle.net/2263/78709.
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Several heterogeneous, intelligent and distributed devices can be connected to interact with one another over the internet in what is known as the internet of things (IoT). Also, the concept of IoT can be exploited in the industrial environment for increasing the production output of goods and services and for mitigating the risk of disaster occurrences. This application of IoT for enhancing industrial production is known as industrial IoT (IIoT). More so, the benefits of IoT technology can be particularly exploited across the maritime industry in what is termed the internet of maritime things (IoMT) where sensors and actuator devices are implanted on marine equipment in order to foster the communication efficacy of nautical radio networks. Marine explorations may suffer from unwanted situations such as transactional delays, environmental degradation, insecurity, seaport congestions, accidents and collisions etc, which could arise from severe environmental conditions. As a result, there is a need to develop proper communication techniques that will improve the overall quality of service (QoS) and quality of experience (QoE) of marine users. To address these, the merits of contemporaneous technologies such as ubiquitous computing, software-defined networking (SDN) and network functions virtualization (NFV) in addition to salubrious communication techniques including emergent configurations (EC), channel estimation (CE) and communication routing protocols etc, can be utilized for sustaining optimal operation of pelagic networks.
Emergent configuration (EC) is a technology that can be adapted into maritime radio networks to support the operation and collaboration of IoT connected devices in order to improve the efficiency of the connected IoT systems for maximum user satisfaction. To meet user goals, the connected devices are required to cooperate with one another in an adaptive, interoperable, and homogeneous manner. In this thesis, a survey on the concept of IoT is presented in addition to a review of IIoT systems. The applications of ubiquitous computing and SDN technology are employed to design a newfangled network architecture which is specifically propounded for enhancing the throughput of oil and gas production in the maritime ecosystem. The components of this architecture work in collaboration with one another by attempting to manage and control the exploration process of deep ocean activities especially during emergencies involving anthropogenic oil and gas spillages.
Several heterogeneous, intelligent and distributed devices can be connected to interact with one another over the internet in what is known as the internet of things (IoT). Also, the concept of IoT can be exploited in the industrial environment for increasing the production output of goods and services and for mitigating the risk of disaster occurrences. This application of IoT for enhancing industrial production is known as industrial IoT (IIoT). More so, the benefits of IoT technology can be particularly exploited across the maritime industry in what is termed the internet of maritime things (IoMT) where sensors and actuator devices are implanted on marine equipment in order to foster the communication efficacy of nautical radio networks. Marine explorations may suffer from unwanted situations such as transactional delays, environmental degradation, insecurity, seaport congestions, accidents and collisions etc, which could arise from severe environmental conditions. As a result, there is a need to develop proper communication techniques that will improve the overall quality of service (QoS) and quality of experience (QoE) of marine users. To address these, the merits of contemporaneous technologies such as ubiquitous computing, software-defined networking (SDN) and network functions virtualization (NFV) in addition to salubrious communication techniques including emergent configurations (EC), channel estimation (CE) and communication routing protocols etc, can be utilized for sustaining optimal operation of pelagic networks.
Emergent configuration (EC) is a technology that can be adapted into maritime radio networks to support the operation and collaboration of IoT connected devices in order to improve the efficiency of the connected IoT systems for maximum user satisfaction. To meet user goals, the connected devices are required to cooperate with one another in an adaptive, interoperable, and homogeneous manner. In this thesis, a survey on the concept of IoT is presented in addition to a review of IIoT systems. The applications of ubiquitous computing and SDN technology are employed to design a newfangled network architecture which is specifically propounded for enhancing the throughput of oil and gas production in the maritime ecosystem. The components of this architecture work in collaboration with one another by attempting to manage and control the exploration process of deep ocean activities especially during emergencies involving anthropogenic oil and gas spillages.
On the other hand, CE is a utilitarian communication technique that can be exploited during maritime exploration processes which offer additional reinforcement to the capacities of the nautical radio network. This technique enables the receivers of deep-sea networks to efficiently approximate the channel impulse response (CIR) of the wireless communication channel so that the effects of the communication channel on the transmitting aggregated cluster head information can be proficiently understood and predicted for useful decision-making procedures. Two CE schemes named inter-symbol interference/ average noise reduction (ISI/ANR) and reweighted error-reducing (RER) are designed in this study for estimating maritime channels for supporting the communication performances of nautical radio networks in both severe and light-fading environmental conditions. In the proposed RER method, the Manhattan distance of the CIR of an orthodox adaptive estimator is taken, which is subsequently normalised by a stability constant ɛ whose responsibility is for correcting any potential numerical system instability that may arise during the updating stages of the estimation process. To decrease the received signal error, a log-sum penalty function is eventually multiplied by an adjustable leakage (ɛ ) ̈that provides additional stability to the oscillating channel behaviour. The performance of the proposed RER method is further strengthened and made resilient against channel effects by the introduction of a reweighting attractor that further contracts the mean square error of this proposed estimator. In the ISI/ANR technique, the effects of possible ISI that may arise from maritime transmissions is considered and transformed using a low-pass filter that is incorporated for eliminating the effects of channel noise possible effects of multipath propagation. The RER scheme offered superior CE performances in comparison to other customary techniques such as the adaptive recursive least squares and normalised least mean square method in addition to conventional linear approaches such as least squares, linear minimum mean square error and maximum-likelihood estimation method. The proposed ISI/ANR technique offered an improved MSE performance in comparison to all considered linear methods. Finally, from this study, we were able to establish that accurate CE methods can improve the QoS and QoE of nautical radio networks in terms of network data rate and system outage probability.Thesis (PhD (Computer Engineering))--University of Pretoria, 2021.
University of Pretoria Doctoral research grant, South African National Research Foundation/Research and Innovation Support and Advancement (NRF/RISA) research grant. Center for Connected Intelligence, Advanced Sensor Networks research group, University of Pretoria.
Electrical, Electronic and Computer Engineering
PhD (Computer Engineering)
Unrestricted
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Ghuman, Karanjot Singh. "Improving Energy Efficiency and Bandwidth Utilization in Data Center Networks Using Segment Routing." Thesis, Université d'Ottawa / University of Ottawa, 2017. http://hdl.handle.net/10393/35846.
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In today’s scenario, energy efficiency has become one of the most crucial issues for Data Center Networks (DCN). This paper analyses the energy saving capability of a Data center network using Segment Routing (SR) based model within a Software Defined Network (SDN) architecture. Energy efficiency is measured in terms of number of links turned off and for how long the links remain in sleep mode. Apart from saving the energy by turning off links, our work further efficiently manages the traffic within the available links by using Per-packet based load balancing approach. Aiming to avoid congestion within DCN’s and increase the sleeping time of inactive links. An algorithm for deciding the particular set of links to be turned off within a network is presented. With the introduction of per-packet approach within SR/SDN model, we have successfully saved 21 % of energy within DCN topology. Results show that the proposed Per-packet SR model using Random Packet Spraying (RPS) saves more energy and provides better performance as compared to Per-flow based SR model, which uses Equal Cost Multiple Path (ECMP) for load balancing. But, certain problems also come into picture using per-packet approach, like out of order packets and longer end to end delay. To further solidify the effect of SR in saving energy within DCN and avoid previously introduced problems, we have used per-flow based Flow Reservation approach along with a proposed Flow Scheduling Algorithm. Flow rate of all incoming flows can be deduced using Flow reservation approach, which is further used by Flow Scheduling Algorithm to increase Bandwidth utilization Ratio of links. Ultimately, managing the traffic more efficiently and increasing the sleeping time of links, leading to more energy savings. Results show that, the energy savings are almost similar in per-packet based approach and per-flow based approach with bandwidth reservation. Except, the average sleeping time of links in per-flow based approach with bandwidth reservation decreases less severely as compared to per-packet based approach, as overall traffic load increases.
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Körner, Marc F. [Verfasser], Odej [Akademischer Betreuer] Kao, Rose Cesar [Akademischer Betreuer] De, and Thomas [Akademischer Betreuer] Magedanz. "Software defined networking based data-center services / Marc F. Körner. Gutachter: Odej Kao ; Cesar De Rose ; Thomas Magedanz. Betreuer: Odej Kao." Berlin : Technische Universität Berlin, 2015. http://d-nb.info/1074912381/34.
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Silva, Eduardo Germano da. "A one-class NIDS for SDN-based SCADA systems." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2007. http://hdl.handle.net/10183/164632.
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Sistemas elétricos possuem grande influência no desenvolvimento econômico mundial. Dada a importância da energia elétrica para nossa sociedade, os sistemas elétricos frequentemente são alvos de intrusões pela rede causadas pelas mais diversas motivações. Para minimizar ou até mesmo mitigar os efeitos de intrusões pela rede, estão sendo propostos mecanismos que aumentam o nível de segurança dos sistemas elétricos, como novos protocolos de comunicação e normas de padronização. Além disso, os sistemas elétricos estão passando por um intenso processo de modernização, tornando-os altamente dependentes de sistemas de rede responsáveis por monitorar e gerenciar componentes elétricos. Estes, então denominados Smart Grids, compreendem subsistemas de geração, transmissão, e distribuição elétrica, que são monitorados e gerenciados por sistemas de controle e aquisição de dados (SCADA). Nesta dissertação de mestrado, investigamos e discutimos a aplicabilidade e os benefícios da adoção de Redes Definidas por Software (SDN) para auxiliar o desenvolvimento da próxima geração de sistemas SCADA. Propomos também um sistema de detecção de intrusões (IDS) que utiliza técnicas específicas de classificação de tráfego e se beneficia de características das redes SCADA e do paradigma SDN/OpenFlow. Nossa proposta utiliza SDN para coletar periodicamente estatísticas de rede dos equipamentos SCADA, que são posteriormente processados por algoritmos de classificação baseados em exemplares de uma única classe (OCC). Dado que informações sobre ataques direcionados à sistemas SCADA são escassos e pouco divulgados publicamente por seus mantenedores, a principal vantagem ao utilizar algoritmos OCC é de que estes não dependem de assinaturas de ataques para detectar possíveis tráfegos maliciosos. Como prova de conceito, desenvolvemos um protótipo de nossa proposta. Por fim, em nossa avaliação experimental, observamos a performance e a acurácia de nosso protótipo utilizando dois tipos de algoritmos OCC, e considerando eventos anômalos na rede SCADA, como um ataque de negação de serviço (DoS), e a falha de diversos dispositivos de campo.Power grids have great influence on the development of the world economy. Given the importance of the electrical energy to our society, power grids are often target of network intrusion motivated by several causes. To minimize or even to mitigate the aftereffects of network intrusions, more secure protocols and standardization norms to enhance the security of power grids have been proposed. In addition, power grids are undergoing an intense process of modernization, and becoming highly dependent on networked systems used to monitor and manage power components. These so-called Smart Grids comprise energy generation, transmission, and distribution subsystems, which are monitored and managed by Supervisory Control and Data Acquisition (SCADA) systems. In this Masters dissertation, we investigate and discuss the applicability and benefits of using Software-Defined Networking (SDN) to assist in the deployment of next generation SCADA systems. We also propose an Intrusion Detection System (IDS) that relies on specific techniques of traffic classification and takes advantage of the characteristics of SCADA networks and of the adoption of SDN/OpenFlow. Our proposal relies on SDN to periodically gather statistics from network devices, which are then processed by One- Class Classification (OCC) algorithms. Given that attack traces in SCADA networks are scarce and not publicly disclosed by utility companies, the main advantage of using OCC algorithms is that they do not depend on known attack signatures to detect possible malicious traffic. As a proof-of-concept, we developed a prototype of our proposal. Finally, in our experimental evaluation, we observed the performance and accuracy of our prototype using two OCC-based Machine Learning (ML) algorithms, and considering anomalous events in the SCADA network, such as a Denial-of-Service (DoS), and the failure of several SCADA field devices.
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van, 't Hof David M. "Service Provisioning in SDN using a Legacy Network Management System." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-204957.
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Software Defined Networking (SDN) has become increasingly popular in combination with Network Function Virtualization (NFV). SDN is a way to make a network more programmable and dynamic. However, in order to create a homogeneous network using this concept, legacy equipment will have to be substituted by SDN equipment, which is costly. To close the gap between the legacy world and SDN, we introduce the concept of a legacy Network Management System (NMS) that is connected to an SDN controller to perform service provisioning. This way, the NMS is capable of configuring both legacy as well as SDN networks to provide customers with the services that they have ordered, while still allowing for new SDN features in the SDN domain of the network. The main service we wish to provide using SDN is Service Function Chaining (SFC). Service provisioning consists of dynamically constructing a path through the ordered network services, in this case Virtual Network Functions (VNFs). This thesis focuses on the SDN controller and its interaction with the NMS. This project aims at configuring OpenFlow rules in the network using an SDN controller to perform SFC. Moreover, the focus will be on how to represent an SDN element and a service function chain in the legacy network NMS. The thesis also contains a discussion on what information should be exchanged between the management software and the controller. The management software used is called BECS, a system developed by Packetfront Software. Integrating SDN in BECS is done by creating a proof of concept, containing a full environment from the low level network elements to the NMS. By using a bottom-up approach for creating this proof of concept, the information that BECS is required to send to the SDN controller can be identified before designing and implementing the connection between these two entities. When sending the information, the NMS should be able to receive acknowledgement of successful information exchange or an error. However, when the proof of concept was created a problem arose on how to test and troubleshoot it. For this reason, a web Graphical User Interface (GUI) was created. This GUI shows the number of packets that have gone through a VNF. Because it is possible to see how many packets go through a VNF, one can see where a network issue occurs. The subsequent analysis investigates the impact of making such a GUI available for a network administrator and finds that the part of the network where the configuration error occurs can be narrowed down significantly.Software Defined Networking (SDN) har blivit mer och mer populärt i kombination med Network Function Virtualization (NFV). SDN är en sätt för att göra ett nätverk mer programmerbart och dynamiskt. För att skapa ett homogent nätverk med detta koncept, behöver man dock ersätta traditionell utrustning med SDN utrustning som är dyr. För att stänga gapet mellan traditionella nätverk och SDN-världen, introducerar vi ett koncept med ett traditionell Network Management System (NMS) som är anslutet till en SDN-styrenhet för att utföra tjänsteprovisionering. På detta sätt kan NMS:et konfigurera både traditionella och SDN-nätverk, samt provisionera tjänster för kunderna medan nya SDN-funktioner möjliggörs i SDN-delen av nätverket. Den huvudsakliga tjänsten som vi vill lansera genom SDN är Service Function Chaining (SFC). Tjänsteprovisionering består av att konstruera en väg genom beställda tjänster, i detta fall Virtual Network Functions (VNFs). Detta examensarbete fokuserar huvusakligen på SDN-styrenheten och dess interaktion med NMS:et. Projektet syftar till att konfigurera OpenFlow regler i SDN-styrenheten för att utföra SFC. Dessutom fokuserar arbetet på hur man kan representera SDN-element och SFCs i ett traditionellt NMS. Vidare diskuteras vilken information som ska utbytas mellan NMS:et och SDNstyrenheten. NMS:et som ska vara användas är BECS, ett system utvecklat av Packetfront Software. Uppgiften löses genom att skapa ett proof of concept, som innehåller ett komplett system med alla komponenter från nätverkselement till NMS:et. Genom att använda en bottom-up-strategi för detta proof of concept kan informationen som BECS måste skicka till SDN styrenheten indentifieras, innan design och implementation av förbindelsen mellan enheterna kan utföras. När informationen är skickad ska NMS:et kunna hämta information om huruvida styrenheten fick informationen utan fel. Dock uppstår ett problem gällande hur man testar och felsöker detta proof of concept. Av denna anledning skapades ett web Graphical User Interface (GUI). Användargränssnittet visar antalet paket som går genom varje VNF, samt var i nätverket fel uppstår. Analysen undersöker hur stor effekten är för en nätverkadministrator och visar att området där fel kan uppstå begränsas avsevärt.
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Aubry, Elian. "Protocole de routage pour l’architecture NDN." Thesis, Université de Lorraine, 2017. http://www.theses.fr/2017LORR0267/document.
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Parmi les architectures orientées contenu, l'architecture NDN (Named-Data Networking) a su agréger la plus importante communauté de chercheurs et est la plus aboutie pour un Internet du futur. Dans le cadre de l'architecture NDN, au cours de ce doctorat, nous nous sommes concentrés sur les mécanismes de routage adaptés à cette nouvelle vision du réseau. En effet, la capacité à acheminer une requête vers la destination est fondamentale pour qu'une architecture réseau soit fonctionnelle et cette problématique avait été très peu étudiée jusqu'alors. Ainsi, dans ce manuscrit, nous proposons le protocole de routage SRSC (SDN-based Routing Scheme for CCN/NDN), qui repose sur l'utilisation du paradigme des réseaux logiciels (Software-Defined Networks\\, SDN). SRSC utilise un contrôleur capable de gérer le plan de contrôle du réseau NDN. En centralisant l'ensemble des informations telles que la topologie du réseau, la localisation des différents contenus et le contenu des mémoires cache des nœuds du réseau, le contrôleur va pouvoir établir la meilleure route pour acheminer les requêtes vers le contenu. SRSC permet également un routage de type anycast, c'est à dire qu'il permet d'acheminer les requêtes vers le nœud le plus proche qui dispose des données, permettant d'optimiser la distribution des requêtes dans le réseau et de répartir la charge parmi tous les nœuds. De plus, SRSC utilise uniquement les messages Interest et Data de l'architecture NDN et tient son originalité du fait qu'il s'affranchit complètement de l'infrastructure TCP/IP existante. Dans un premier temps, SRSC a été évalué via simulation avec le logiciel NS-3 où nous l'avons comparé à la méthode d'inondation des requêtes, appelée flooding, initialement proposée par NDN. SRSC a ensuite été implanté dans NDNx, l'implantation open source de l'architecture NDN, puis déployé sur notre testbed utilisant la technologie Docker. Ce testbed permet de virtualiser des nœuds NDN et d'observer un réel déploiement de cette architecture réseau à large échelle. Nous avons ainsi évalué les performances de notre protocole SRSC sur notre testbed virtualisé et nous l'avons comparé au protocole NLSR, (Named-Data Link State Routing Protocol), le protocole de routage du projet NDNInternet is a mondial content network and its use grows since several years. Content delivery such as P2P or video streaming generates the main part of the Internet traffic and Named Data Networks (NDN) appear as an appropriate architecture to satisfy the user needs. Named-Data Networking is a novel clean-slate architecture for Future Internet. It has been designed to deliver content at large scale and integrates several features such as in-network caching, security, multi-path. However, the lack of scalable routing scheme is one of the main obstacles that slow down a large deployment of NDN at an Internet-scale. As it relies on content names instead of host address, it cannot reuse the traditional routing scheme on the Internet. In this thesis, we propose to use the Software-Defined Networking (SDN) paradigm to decouple data plane and control plane and present SRSC, a new routing scheme for NDN based on SDN paradigm. Our solution is a clean-slate approach, using only NDN messages and the SDN paradigm. We implemented our solution into the NS-3 simulator and perform extensive simulations of our proposal. SRSC show better performances than the flooding scheme used by default in NDN. We also present a new NDN testbed and the implementation of our protocol SRSC, a Controlled-based Routing Scheme for NDN. We implemented SRSC into NDNx, the NDN implementation, and deployed it into a virtual environment through Docker. Our experiments demonstrate the ability of our proposal to forward Interest, while keeping a low computation time for the Controller and low delay to access Content. Moreover, we propose a solution to easily deploy and evaluate NDN network, and we compare SRSC with NLSR, the current routing protocol used in NDNx
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Leal, Anthony Jonathan da Silva. "Desenvolvimento de mecanismos de engenharia de tráfego em data centers através de SDN." Master's thesis, 2016. http://hdl.handle.net/1822/46402.
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Dissertação de mestrado integrado em Engenharia de Telecomunicações e InformáticaO crescente uso de aplicações que geram altos volumes de tráfego motivou o desenvolvimento de novas abordagens de Engenharia de Tráfego que pudessem melhorar o desempenho e eficiência das infraestruturas de comunicação, e.g. redes dos ISPs (Internet Service Providers), Data Centers, etc. Neste contexto, a área denominada por Software Defined Networking (SDN) poderá ser útil para a definição de alguns mecanismos inovadores nestes cenários. Este paradigma, que tem sido recentemente explorado, oferece novas tecnologias e protocolos proporcionando novas oportunidades para uma gestão mais expedita e eficiente das infraestruturas de rede. Este trabalho propõe-se contribuir para o desenvolvimento de mecanismos de Engenharia de Tráfego na área das SDN. Os mecanismos a estudar estarão orientados para tarefas de balanceamento de carga em redes de Data Centers e implementados com a ferramenta de emulação Mininet. Para tal, será feito inicialmente um estudo das diversas arquiteturas de redes de Data Centers, dos conceitos que englobam o paradigma SDN e uma análise das estratégias de balanceamento de carga já existentes. De seguida será desenvolvida uma bancada de testes e implementados alguns mecanismos de balanceamento de carga. Posteriormente, serão efetuados testes de desempenho aos mecanismos desenvolvidos
The increasing use of applications that generate high traffic volumes prompted the development of new approaches to Traffic Engineering field that could improve the performance and efficiency of communication infrastructures, e.g. ISPs (Internet Service Providers) networks, Data Centers, etc. In this context, arises the area of Software Defined Networking (SDN) that may be helpful to define some innovative mechanisms in such scenarios. This paradigm, which has recently been explored, offers new technologies and protocols providing new opportunities for a more expeditious and efficient traffic management strategies in network infrastructures. This work aims to contribute to the development of Traffic Engineering mechanisms in the area of SDN. The mechanisms to develop will be oriented to load balancing tasks in Data Centers networks and implemented with the Mininet emulation tool. It will be made initially a study of the various Data Center networks architectures, concepts that encompass the SDN paradigm and an analysis of existing load balancing strategies. Then it will developed a test bench and implemented some load balancing mechanisms. Subsequently, performance tests will be made to the developed mechanisms.
Book chapters on the topic "Data Center, Software Defined Networking, SDN"
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Chen, Yun, Weihong Chen, Yao Hu, Lianming Zhang, and Yehua Wei. "Dynamic Load Balancing for Software-Defined Data Center Networks." In Collaborate Computing: Networking, Applications and Worksharing, 286–301. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59288-6_26.
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Rocha, Lucio Agostinho. "Intra Data Center MultiPath Optimization with Emulated Software Defined Networks." In Advanced Information Networking and Applications, 703–14. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75075-6_58.
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Vairam, T., S. Sarathambekai, and D. Vigneshwaran. "A Software-Defined Networking (SDN) Architecture for Smart Trash Can Using IoT." In EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing, 163–72. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19562-5_16.
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Kulakov, Yurii, Alla Kohan, and Sergii Kopychko. "Traffic Orchestration in Data Center Network Based on Software-Defined Networking Technology." In Advances in Computer Science for Engineering and Education II, 228–37. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16621-2_21.
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Long, Chen Xiao, and Shan Chun. "Design and implementation of Data Center Network Global Congestion Price Calculating method based on Software Defined Networking." In Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 459–66. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49109-7_43.
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Sanvito, Davide. "Traffic Management in Networks with Programmable Data Planes." In Special Topics in Information Technology, 13–23. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-62476-7_2.
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AbstractThis brief includes a summary of the Ph.D. thesis entitled “Traffic management in networks with programmable data planes” and supervised by Prof. Antonio Capone. Software-Defined Networking (SDN) enables the configuration and operation of communications networks through open software programming interfaces providing an unprecedented flexibility in their dynamic reconfiguration and management. The thesis analyses the opportunities for traffic management provided by the SDN paradigm at different levels. Starting from the programmability at the control plane, we have designed a Traffic Engineering framework operating on the global view offered on top of the controller to proactively configure the network according to traffic measurements while limiting the number of reconfigurations. In order to deal with unexpected conditions such as network failures and congestion, the above centralized, global and proactive approach has been complemented by reactive and distributed approaches based on advanced stateful programmable data planes which enable a self-adaptation according to partial local information yielding to a more prompt and scalable reaction. All the solutions presented in the thesis have been evaluated with software prototypes based on research-oriented or production-ready open-source tools. Some of the extensions developed for these tools have been integrated as official open-source contributions.
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Hagos, Desta Haileselassie. "Software-Defined Networking for Scalable Cloud-Based Services to Improve System Performance of Hadoop-Based Big Data Applications." In Web Services, 1460–84. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7501-6.ch076.
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The rapid growth of Cloud Computing has brought with it major new challenges in the automated manageability, dynamic network reconfiguration, provisioning, scalability and flexibility of virtual networks. OpenFlow-enabled Software-Defined Networking (SDN) alleviates these key challenges through the abstraction of lower level functionality that removes the complexities of the underlying hardware by separating the data and control planes. SDN has an efficient, dynamic, automated network management, higher availability and application provisioning through programmable interfaces which are very critical for flexible and scalable cloud-based services. In this study, the author explores broadly useful open technologies and methodologies for applying an OpenFlow-enabled SDN to scalable cloud-based services and a variety of diverse applications. The approach in this paper introduces new research challenges in the design and implementation of advanced techniques for bringing an SDN-enabled components and big data applications into a cloud environment in a dynamic setting. Some of these challenges become pressing concerns to cloud providers when managing virtual networks and data centers, while others complicate the development and deployment of cloud-hosted applications from the perspective of developers and end users. However, the growing demand for manageable, scalable and flexible clouds necessitates that effective solutions to these challenges be found. Hence, through real-world research validation use cases, this paper aims at exploring useful mechanisms for the role and potential of an OpenFlow-enabled SDN and its direct benefit for scalable cloud-based services. Finally, it demonstrates the impact of an OpenFlow-enabled SDN that fully embraces the opportunities and challenges of cloud infrastructures to improve the system performance of Hadoop-based big data applications by utilizing the network control capabilities of an OpenFlow to solve network congestion.
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Bouras, Christos, Anastasia Kollia, and Andreas Papazois. "Exploring SDN & NFV in 5G Using ONOS & POX Controllers." In Research Anthology on Developing and Optimizing 5G Networks and the Impact on Society, 187–203. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-7708-0.ch009.
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This article describes how novel functionalities will take advantage of the cloud networking and will gradually replace the existing infrastructure of mobile networks with a virtualized one. Two technologies, namely software defined networking (SDN) and network function virtualization (NFV), offer their important benefits and a combination of them is an answer to the demands raised, such as central office re-architected as a data center (CORD). Open network operating system (ONOS) and POX are SDN controllers and offer an option to combine SDN and NFV addressing many ongoing problems in the field of mobile networks. In this paper, technologies and both controllers are compared and contrasted. Indicative cases of topologies are simulated and help evaluating both controllers. According to the experimental findings, ONOS is one of the most important controllers for practical, theoretical, research and educational purposes, while POX is a useful and simpler controller for other educative applications.
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Borges, Isabel. "Introducing Automation in Service Delivery Procedures." In Handbook of Research on Redesigning the Future of Internet Architectures, 409–30. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8371-6.ch018.
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The combination of Software-Defined Networking (SDN) with Network Functions Virtualization (NFV) approaches is gaining momentum in the Industry as a new way of implementing, managing and controlling telecommunications networks. This chapter aims to go through SDN and lightly over NFV, presenting main characteristics and the standardization work on that technologies. SDN enables programming networks together with the ability to adapt to applications requirements and network dynamics. NFV aims at virtualizing network services by merging several network equipment types onto standard Information Technologies (IT) high volume virtualization technology (switches, servers and storage) located either in data centres, customer premises or network nodes. SDN and NFV interworking ambition is to bring on-demand resource provisioning, resource elasticity, among others with a centralized view of the overall network, able to automatically and dynamically honor service requirements.
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Göransson, Paul, Chuck Black, and Timothy Culver. "SDN in the Data Center." In Software Defined Networks, 191–215. Elsevier, 2017. http://dx.doi.org/10.1016/b978-0-12-804555-8.00008-9.
Full textConference papers on the topic "Data Center, Software Defined Networking, SDN"
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Xie, Ruitao, Zuneera Umair, and Xiaohua Jia. "A Wireless Solution for SDN (Software Defined Networking) in Data Center Networks." In GLOBECOM 2016 - 2016 IEEE Global Communications Conference. IEEE, 2016. http://dx.doi.org/10.1109/glocom.2016.7841558.
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Yongli Zhao, Jie Zhang, Hui Yang, and Xiaosong Yu. "Data center optical networks (DCON) with OpenFlow based Software Defined Networking (SDN)." In 2013 8th International Conference on Communications and Networking in China (CHINACOM). IEEE, 2013. http://dx.doi.org/10.1109/chinacom.2013.6694698.
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Yongli Zhao, Jie Zhang, Ting Zhou, Hui Yang, Wanyi Gu, Yi Lin, Jianrui Han, Gang Li, and Huiying Xu. "Time-aware software defined networking (Ta-SDN) for flexi-grid optical networks supporting data center application." In 2013 IEEE Globecom Workshops (GC Wkshps). IEEE, 2013. http://dx.doi.org/10.1109/glocomw.2013.6825160.
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Liberato, Alextian Bartholomeu, Moises Ribeiro, and Magnos Martinello. "RDNA: Arquitetura Definida por Resíduos para Redes de Data Centers." In XXXVII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/sbrc_estendido.2019.7784.
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Datacenter (DC) design has been moved towards the edge computing paradigm motivated by the need of bringing cloud resources closer to end users. However, the Software Defined Networking (SDN) architecture offers no clue to the design of Micro Datacenters (MDC) for meeting complex and stringent requirements from next generation 5G networks. This is because canonical SDN lacks a clear distinction between functional network parts, such as core and edge elements. Besides, there is no decoupling between the routing and the network policy. In the thesis, we introduce Residue Defined Networking Architecture (RDNA) as a new approach for enabling key features like ultra-reliable and low-latency communication in MDC networks. RDNA explores theprogrammability of Residues Number System (RNS) as a fundamental concept to define a minimalist forwarding model for core nodes. Instead of forwarding packets based on classical table lookup operations, core nodes are tableless switches that forward packets using merely remainder of the division (modulo) operations. By solving a residue congruence system representing a network topology, we found out the algorithms and their mathematical properties to design RDNAs routing system that (i) supports unicast and multicast communication,(ii) provides resilient routes with protection for the entire route, and (iii) is scalable for 2-tier Clos topologies. Experimental implementations on Mininet and NetFPGA SUME show that RDNA achieves 600 ns switching latency per hop with virtually no jitter at core nodes and sub-millisecond failure recovery time.
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Iyer, Aakash, Praveen Kumar, and Vijay Mann. "Avalanche: Data center Multicast using software defined networking." In 2014 Sixth International Conference on Communication Systems and Networks (COMSNETS). IEEE, 2014. http://dx.doi.org/10.1109/comsnets.2014.6734903.
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Pilimon, Artur, Angelos Mimidis Kentis, Sarah Ruepp, and Lars Dittmann. "Analysis of traffic engineering capabilities for SDN-based data center networks." In 2018 Fifth International Conference on Software Defined Systems (SDS). IEEE, 2018. http://dx.doi.org/10.1109/sds.2018.8370445.
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Maqbool, Qasim, Sohaib Ayub, Junaid Zulfiqar, and Aamir Shafi. "Virtual TCAM for Data Center switches." In 2015 IEEE Conference on Network Function Virtualization and Software-Defined Networks (NFV-SDN). IEEE, 2015. http://dx.doi.org/10.1109/nfv-sdn.2015.7387407.
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Rosa, Raphael Vicente, Christian Esteve Rothenberg, and Edmundo Madeira. "Virtual data center networks embedding through Software Defined Networking." In NOMS 2014 - 2014 IEEE/IFIP Network Operations and Management Symposium. IEEE, 2014. http://dx.doi.org/10.1109/noms.2014.6838352.
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Ji, Philip N. "Optically Interconnected Data Center Using Software-Defined Networking Technology." In OptoElectronics and Communications Conference and Photonics in Switching. Washington, D.C.: OSA, 2013. http://dx.doi.org/10.1364/oecc_ps.2013.tut2_1.
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Calcaterra, C., A. Carmenini, A. Marotta, and D. Cassioli. "Hadoop Performance Evaluation in Software Defined Data Center Networks." In 2019 International Conference on Computing, Networking and Communications (ICNC). IEEE, 2019. http://dx.doi.org/10.1109/iccnc.2019.8685506.
Full textReports on the topic "Data Center, Software Defined Networking, SDN"
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Marin-Lopez, R., G. Lopez-Millan, and F. Pereniguez-Garcia. A YANG Data Model for IPsec Flow Protection Based on Software-Defined Networking (SDN). RFC Editor, July 2021. http://dx.doi.org/10.17487/rfc9061.
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