Fault Management in Software-Defined Networking: A Survey

Yu, Yinbo; Li, Xing; Leng, Xue; Song, Libin; Bu, Kai; Chen, Yan; Yang, Jianfeng; Zhang, Liang; Cheng, Kun; Xiao, Xin

doi:10.1109/comst.2018.2868922

Cited by 78 publications

(39 citation statements)

References 196 publications

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“…It is concluded that all eigenvalues of Hessian H are positive numbers, and H is a symmetric positive definite matrix. According to the theorem in [13], it is concluded that (15) is convex. Since the constraints are linear, we can conclude that the problem is a convex optimization problem.…”

Section: Problem Solving a Problem Formulationmentioning

confidence: 99%

“…The SEC-UDN controller obtained the decision result c k −i,j of everyone else. The SEC-UDN controller needs to calculate the delay of the local, local server, and remote server through (1)- (13) to update the unloading decision., Either locally(c k i,j = 0), locally or remotely(c k i,j = 1). The basis of the decision is as follows:…”

Section: Problem Solving a Problem Formulationmentioning

confidence: 99%

“…In this process, each user requests the load information of the current server from the SEC-UDN controller. The SEC-UDN controller updates the server and user status and calculates the delay through formulas (1)- (13). Select a useful uninstall.…”

Section: Problem Solving a Problem Formulationmentioning

confidence: 99%

“…Its control plane and forwarding plane are separate, open and programmable. SDN provides a new experimental approach for the research of new Internet architecture, and also greatly promotes the development of the next generation Internet [13].…”

mentioning

confidence: 99%

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Load Optimization Based on Edge Collaboration in Software Defined Ultra-Dense Networks

Yang

Zhang

2020

IEEE Access

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With the intelligence of user equipment and the popularization of emerging applications such as unmanned driving and face recognition, more and more computationally intensive and delay-sensitive tasks have been generated. As a new network paradigm, ultra-dense networks can greatly improve user access capabilities by deploying dense base stations (BSs). Edge computing can effectively guarantee the low-latency requirements of users in ultra-dense networks. However, the heterogeneity of servers, the distributed resources, and the dynamic energy consumption of mobile devices in ultra-dense networks make it extremely difficult for users to offload and load balance among servers. This paper applies the idea of software defined network to proposes an edge collaboration architecture to achieve resource sharing and efficient offloading of tasks based on the characteristics of global perception. In particular, considering the high load of the local server and the idle resources of the remote server, the best offloading strategy for users is obtained game theory. Simulation results show that the performance is improved by about 30% compared to the traditional local processing, edge offload and local edge random offload schemes. INDEX TERMS Software defined network, ultra dense network, load balancing, edge collaboration. I. INTRODUCTION

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Section: Problem Solving a Problem Formulationmentioning

confidence: 99%

Section: Problem Solving a Problem Formulationmentioning

confidence: 99%

Section: Problem Solving a Problem Formulationmentioning

confidence: 99%

mentioning

confidence: 99%

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Load Optimization Based on Edge Collaboration in Software Defined Ultra-Dense Networks

Yang

Zhang

2020

IEEE Access

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“…Considerable research efforts have been devoted to solving the failure recovery problem of SDN's hardware, which can be divided into two major categories: failure recovery for the control plane and the data plane [21], [22], as shown in Fig. 1.…”

Section: B Failure Recovery In Sdnmentioning

confidence: 99%

Recovery and Reconstruction of Multicast Tree in Software-Defined Network: High Speed and Low Cost

Chen

Yan

et al. 2020

IEEE Access

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Multicast is an efficient tool to transfer the same data from a publisher to multiple subscribers, and its performance relies critically on the resiliency. Compared with traditional networks, the centralized control and flexible programmability of the Software Defined Network (SDN) is more beneficial for solving the failure recovery problem. This paper presents a design of an OpenFlow controller which can recover and reconstruct a multicast tree rapidly, while reducing the Ternary Content Addressable Memory (TCAM) consumption simultaneously. We choose the protection mechanism, and calculate all the backup paths after the topology information is mastered by the controller. When a failure occurs, affected switches can enable the use of backup paths to continue forwarding multicast packets. As duplicate packets may exist after the failure recovery, the reconstruction of a tree is required by modifying only a small fraction of forwarding rules. The performance evaluations demonstrate that our proposed method recovers a multicast tree with a high speed and low cost. On one hand, the maximum failure recovery time of two protection-based methods including our proposed method is less than 11 ms, while that of two restoration-based methods is 44 ms and 30 ms, respectively. On the other hand, the amount of backup forwarding entries required by another protection-based method exceed our proposed method as long as 3 or more multicast groups exist in the network. Moreover, when our proposed method is adopted, the amount of backup forwarding entries per switch is less than 30, which can be ignored when compared with the capacity of SDN switches (a switch can support a few thousand forwarding rules).

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2023

Troubleshooting for Network Operators

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Fault Management in Software-Defined Networking: A Survey

Cited by 78 publications

References 196 publications

Load Optimization Based on Edge Collaboration in Software Defined Ultra-Dense Networks

Load Optimization Based on Edge Collaboration in Software Defined Ultra-Dense Networks

Recovery and Reconstruction of Multicast Tree in Software-Defined Network: High Speed and Low Cost

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