Design of an SDN Control Method Considering the Path Switching Time under Disaster Situations

Gotani, Kosuke; Takahira, Hiroyuki; Hata, Masaharu; Guillen, Luis; Izumi, Satoru; Abe, Toru; Suganuma, Takuo

doi:10.1109/ict-dm.2018.8636384

Cited by 6 publications

(6 citation statements)

References 5 publications

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“…However, despite the benefits, the TCAM space constraint might limit the potential use of DNN [127] and Q-Leaning [126] that so much relies on historical data. In another work, Gotani et al [128], [129] proposed a technique to reduce the effect of switch processing latency during path setup. Since the time to add flow entries is different for different switches.…”

Section: Psa With Critical Switch Awarementioning

confidence: 99%

Review of Path Selection Algorithms with Link Quality and Critical Switch Aware for Heterogeneous Traffic in SDN

Yusuf

Bakar

Isyaku

et al. 2023

Int. j. electr. comput. eng. syst. (Online)

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Software Defined Networking (SDN) introduced network management flexibility that eludes traditional network architecture. Nevertheless, the pervasive demand for various cloud computing services with different levels of Quality of Service requirements in our contemporary world made network service provisioning challenging. One of these challenges is path selection (PS) for routing heterogeneous traffic with end-to-end quality of service support specific to each traffic class. The challenge had gotten the research community's attention to the extent that many PSAs were proposed. However, a gap still exists that calls for further study. This paper reviews the existing PSA and the Baseline Shortest Path Algorithms (BSPA) upon which many relevant PSA(s) are built to help identify these gaps. The paper categorizes the PSAs into four, based on their path selection criteria, (1) PSAs that use static or dynamic link quality to guide PSD, (2) PSAs that consider the criticality of switch in terms of an update operation, FlowTable limitation or port capacity to guide PSD, (3) PSAs that consider flow variabilities to guide PSD and (4) The PSAs that use ML optimization in their PSD. We then reviewed and compared the techniques' design in each category against the identified SDN PSA design objectives, solution approach, BSPA, and validation approaches. Finally, the paper recommends directions for further research.

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Section: Psa With Critical Switch Awarementioning

confidence: 99%

Review of Path Selection Algorithms with Link Quality and Critical Switch Aware for Heterogeneous Traffic in SDN

Yusuf

Bakar

Isyaku

et al. 2023

Int. j. electr. comput. eng. syst. (Online)

View full text Add to dashboard Cite

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“…However, both schemes may experience higher flow table operation time thereby affecting path setup switching time. An effective method to minimize the total setup switching time of all paths in the network was presented in Gotani et al [31,32]. The authors considered path route selection based on path switching latency in heterogeneous networks, where switches had different specifications.…”

Section: Related Workmentioning

confidence: 99%

“…Path selection mechanism (PSM) X Gotani et al [31,32] minimizing the total path switching time of all paths in the network…”

Section: Related Workmentioning

confidence: 99%

“…Interestingly, there may be some variation, or more than one Pi may have the same score. In this case, the Pi with a minimum number of hop count or distance is considered as the final path, Algorithm 2 demonstrates the procedure line (20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30)(31)(32). In practice, shorter paths typically tend to consume fewer network resources compare to longer paths, and hence the path which best minimizes the CWF score is one among the k shortest candidate path.…”

Section: Critical Switch Detection and Expected Loadmentioning

confidence: 99%

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Route Path Selection Optimization Scheme Based Link Quality Estimation and Critical Switch Awareness for Software Defined Networks

et al. 2021

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Software-defined network (SDN) is a new paradigm that decouples the control plane and data plane. This offered a more flexible way to efficiently manage the network. However, the increasing number of traffics due to the proliferation of the Internet of Things (IoT) devices also increase the number of flow arrival which in turn causes flow rules to change more often, and similarly, path setup requests increased. These events required route path computation activities to take place immediately to cope with the new network changes. Searching for an optimal route might be costly in terms of the time required to calculate a new path and update the corresponding switches. However, the current path selection schemes considered only single routing metrics either link or switch operation. Incorporating link quality and switch’s role during path selection decisions have not been considered. This paper proposed Route Path Selection Optimization (RPSO) with multi-constraint. RPSO introduced joint parameters based on link and switches such as Link Latency (LL), Link Delivery Ratio (LDR), and Critical Switch Frequency Score (CWFscore). These metrics encourage path selection with better link quality and a minimal number of critical switches. The experimental results show that the proposed scheme reduced path stretch by 37%, path setup latency by 73% thereby improving throughput by 55.73%, and packet delivery ratio by 12.5% compared to the baseline work.

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“…In practice, achieving fast recovery would require faster solvers. In References [20,21], the authors considered the problem of path-switching latency in heterogeneous networks, where nodes had different specifications. The proposed method selected alternative paths based on the switches which had the shortest processing time.…”

Section: Related Workmentioning

confidence: 99%

Rapid Restoration Techniques for Software-Defined Networks

2020

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There is increasing demand in modern day business applications for communication networks to be robust and reliable due to the complexity and critical nature of such applications. As such, data delivery is expected to be reliable and secure even in the harshest of environments. Software-Defined Networking (SDN) is gaining traction as a promising approach for designing network architectures which are robust and flexible. One reason for this is that separating the data plane from the control plane, increases the controller’s ability to configure the network rapidly. When network failure events occur, the network manager may trade-off the optimality of the achieved network reconfiguration with the responsivenss of the reconfiguration process. Responsiveness may be favoured when the network resources are under stress and the failure rate is high. We contribute SDN recovery methods that leverage information about the structure of the network to expedite network restoration when a link failure occurs. They operate by detecting community-like structures in the network topology and then they find alternative paths which have low operation and installation costs using this information. Extensive simulations are conducted to evaluate the proposed SDN recovery methods using open-source simulation tools. They provide evidence that the proposed approaches lead to performance gains when an alternative path is required among a set of candidate paths.

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Design of an SDN Control Method Considering the Path Switching Time under Disaster Situations

Cited by 6 publications

References 5 publications

Review of Path Selection Algorithms with Link Quality and Critical Switch Aware for Heterogeneous Traffic in SDN

Review of Path Selection Algorithms with Link Quality and Critical Switch Aware for Heterogeneous Traffic in SDN

Route Path Selection Optimization Scheme Based Link Quality Estimation and Critical Switch Awareness for Software Defined Networks

Rapid Restoration Techniques for Software-Defined Networks

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