DetServ: Network Models for Real-Time QoS Provisioning in SDN-Based Industrial Environments

Guck, Jochen W.; Bemten, Amaury Van; Kellerer, Wolfgang

doi:10.1109/tnsm.2017.2755769

Cited by 61 publications

(52 citation statements)

References 30 publications

(43 reference statements)

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“…Though there are some interesting primilinary restuls on the integration of EI and SDN [190], [215], [216] but still there is lot of efforts required for the reliable and efficient working of SDN-based EI. Additionally, integrating real-time QoS capability to end-to-end traffic flows in EI and SDN-based SGC is also an interesting area to explore [217].…”

Section: Other Future Research Directions 1) Securing Sg Network mentioning

confidence: 99%

Software Defined Networks-Based Smart Grid Communication: A Comprehensive Survey

Rehmani

Davy

Jennings

et al. 2019

IEEE Commun. Surv. Tutorials

164

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The current power grid is no longer a feasible solution due to ever-increasing user demand of electricity, old infrastructure, and reliability issues and thus require transformation to a better grid a.k.a., smart grid (SG). The key features that distinguish SG from the conventional electrical power grid are its capability to perform two-way communication, demand side management, and real time pricing. Despite all these advantages that SG will bring, there are certain issues which are specific to SG communication system. For instance, network management of current SG systems is complex, time consuming, and done manually. Moreover, SG communication (SGC) system is built on different vendor specific devices and protocols. Therefore, the current SG systems are not protocol independent, thus leading to interoperability issue. Software defined network (SDN) has been proposed to monitor and manage the communication networks globally. By separating the control plane from the data plane, SDN helps the network operators to manage the network flexibly. Since SG heavily relies on communication networks, therefore, SDN has also paved its way into the SG. By applying SDN in SG systems, efficiency and resiliency can potentially be improved. SDN, with its programmability, protocol independence, and granularity features, can help the SG to integrate different SG standards and protocols, to cope with diverse communication systems, and to help SG to perform traffic flow orchestration and to meet specific SG quality of service requirements. This article serves as a comprehensive survey on SDN-based SGC. In this article, we first discuss taxonomy of advantages of SDNbased SGC. We then discuss SDN-based SGC architectures, along with case studies. Our article provides an in-depth discussion on routing schemes for SDN-based SGC. We also provide detailed survey of security and privacy schemes applied to SDN-based SGC. We furthermore present challenges, open issues, and future research directions related to SDN-based SGC. Index Terms-Software defined network (SDN), smart grid (SG), advanced metering infrastructure (AMI), renewable energy resources (RERs), home area networks (HANs), network management.

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Section: Other Future Research Directions 1) Securing Sg Network mentioning

confidence: 99%

Software Defined Networks-Based Smart Grid Communication: A Comprehensive Survey

Rehmani

Davy

Jennings

et al. 2019

IEEE Commun. Surv. Tutorials

164

View full text Add to dashboard Cite

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“…Petra Vizarreta, Amaury Van Bemten, Ermin Sakic, Khawar Abbasi, Nikolaos E. Petroulakis, Wolfgang Kellerer and Carmen Mas Machuca W First studies on software-defined industrial networks have shown that it is possible to achieve deterministic delay [4], high availability and low recovery times [5,6], and guarantee high security standards [7] with commodity SDN switches and general purpose hardware. The feasibility of achieving industrial grade quality of service with open and extensible protocol suite provided by state-of-the-art SDN and NFV solutions, has been already demonstrated in an operational wind park environment as a part of the VirtuWind project [2].…”

Section: Incentives For a Softwarization Of Wind Park Communication Nmentioning

confidence: 99%

Incentives for a Softwarization of Wind Park Communication Networks

et al. 2019

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Wind energy is one of the most attractive and one of the fastest growing sources of green energy in the world. With the expansion of wind parks, there is a growing need for an efficient coordination of the diverse energy production systems, as well as a tighter coupling between the production and the consumer side of the grid. Current grid operators suffer unnecessarily high costs due to the lack of an integrated management system towards diverse set of proprietary network protocols, complex and error prone operation of the networks, as well as the rigid security mechanisms. Network softwarization concepts, i.e., Software Defined Networking (SDN) and Network Function Virtualization (NFV), offer a great potential for reducing capital and operational expenditures by providing simplified network management and automated control. Recent works have demonstrated the feasibility of achieving stringent industrial-grade quality of service and fine grain security control with SDN and NFV. In this article, we provide an insight into wind park communication network requirements, analyze the technological benefits of the network softwarization, and demonstrate the economic profits in a case study of a typical Northwestern Europe wind park. I. INTRODUCTION ind energy is one of the most affordable and fastest growing sources of renewable energy, with more than 500 GW of installed capacity worldwide in the past 20 years. Incentives from national governments, as well as the ones proposed through the Renewable Energy Directive by European Commission targeting at covering 20% of energy needs with renewables by 2020, further promote the widespread adoption of green power plants. As the number of installed wind parks is rapidly increasing, there is a need for their tighter coupling and the efficient coordination of energy production schedules [1]. Smart Grids, which are considered as a promising solution for the integration of a diverse set of energy production and distribution systems, require deep penetration of ICT technologies in all of its subsystems. However, current wind parks are not yet prepared for a seamless integration into the Smart Grids, mainly due to the lack of mechanisms for automated and secure exchange of information [2]. Industrial communication networks, such as the one in wind parks, which in the past have been developed as closed systems, rely on closed proprietary protocol stacks, which have been tailored and optimized for their particular requirements.

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“…(2) A special scheduler using a Weighted Fair Queuing Scheduler or a Rate Controlled Earlist Deadline First Scheduler [19] is used at all nodes of the network to ensure that the end-to-end time delay of the path p is as follows:…”

Section: Network Model Hypothesismentioning

confidence: 99%

QoS Routing Algorithm Based on Entropy Granularity in the Network Transmission

2019

Cybernetics and Information Technologies

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With the rapid development of computer networks, more hosts are connected to the Internet where they could communicate with each other. The need for network service has exceeded the service capacity of the network, and the Quality of Service (QoS) is gradually declining. Based on existing Shortest Path First (SPF) algorithm, this paper proposes a new QoS required transmission path approach by considering the overhead balance of network resources. This paper uses the entropy granularity as the main line in the application of routing protocols. Firstly, it researches the optimization of routing algorithms for network load balancing resources, routing algorithms based on link traffic distributing weights, link weight optimization based on adaptive genetic algorithm and computational intelligence based on entropy granularity theory. This research proposes a method to apply entropy granularity to Open Shortest Path First (OSPF) routing, including the implementation of the method. After that, a case study is presented by using some examples.Shortest Path First (SPF) algorithm (such as Dijkstra's algorithm) mainly focuses on how to find a best path to meet the request or have the largest possibility to meet the request path [8,9]. However, it may ignore the overall network resources and cause low comprehensive utilization. There may even be some problems such as network congestion, which may cause the decreasing in the overall number of requests and affect the performance of the network [10].Bellman-Ford algorithm considering two variables (path bandwidth, link transmission delay) was proposed to solve the QoS routing problem [11]. This algorithm makes assumptions about the network model, assuming that a node-based router adopts a rate-based scheduling algorithm. From the calculation formula of the maximum end-to-end delay of the scheduling algorithm, the factors that determine the path delay including link transmission delay and path bandwidth can be identified. Therefore, the network topology maps based on different bandwidths was introduced to calculate the shortest path according to the link length on different topological maps [12]. The algorithm maximizes the use of network resources at the time and satisfies a certain QoS request at that time. However, the algorithm does not consider the cost paid by the network. For example, when the available network topology map is constructed to meet a traffic request, some bandwidth is insufficient, and the link is pruned [13,14]. When there are more requests, especially in the cast of heavy network load, subsequent requests may not be satisfied because of the previous occupancy of bandwidth, which may lead to a decrease in overall reception rate [15]. In addition, if the load balancing algorithm pursues the greatest degree of balanced use of network resources, not only delay sensitive services cannot accept the computational delay caused by complex calculations, but also it is not necessary to achieve the absolute equilibrium state of the network.Based on existing SPF algor...

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DetServ: Network Models for Real-Time QoS Provisioning in SDN-Based Industrial Environments

Cited by 61 publications

References 30 publications

Software Defined Networks-Based Smart Grid Communication: A Comprehensive Survey

Software Defined Networks-Based Smart Grid Communication: A Comprehensive Survey

Incentives for a Softwarization of Wind Park Communication Networks

QoS Routing Algorithm Based on Entropy Granularity in the Network Transmission

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