A Study on the Dependability of Software Defined Networks

Wu, Jianqing; Huang, Yan; Kong, Jiaming; Tang, Qin; Huang, Xin

doi:10.2991/meita-15.2015.58

Cited by 8 publications

(3 citation statements)

References 4 publications

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“…In [10], a model of SDN controllers is developed. In [11], the occurrence probability for different failure types is studied. In [12], an hierarchical availability model is proposed.…”

Section: Dependability Issues In Sdnmentioning

confidence: 99%

Availability Modelling of Software-Defined Backbone Networks

Nencioni

Helvik

Gonzalez

et al. 2016

2016 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshop (DSN-W)

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Abstract-Software-Defined Networking (SDN) promises to improve the programmability and flexibility of networks, but it may also bring new challenges that need to be explored. The main objective of this paper is to present a quantitative assessment of the properties of SDN backbone networks to determine whether they can provide similar availability to the traditional IP backbone networks. To achieve this goal, we have completed the following steps: i) we formalized a two-level availability model that is able to capture the global network connectivity without neglecting the essential details; ii) we proposed Markov models for characterizing the single network elements in both SDN and traditional networks; iii) we carried out an extensive sensitivity analysis of a national and a world-wide backbone networks. The results have highlighted the considerable impact of operational and management (O&M) failures on the overall availability of SDN. High O&M failure intensity may reduce the availability of SDN as much as one order of magnitude compared to traditional networks. Moreover, the results show that the impact of software and hardware failures on the overall availability of SDN can be significantly reduced through proper overprovisioning of the SDN controller(s).

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“…In [10], a model of SDN controllers is developed. In [11], the occurrence probability for different failure types is studied. In [12], an hierarchical availability model is proposed.…”

Section: Dependability Issues In Sdnmentioning

confidence: 99%

Availability Modelling of Software-Defined Backbone Networks

Nencioni

Helvik

Gonzalez

et al. 2016

2016 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshop (DSN-W)

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“…The sustainable development of smart cities requires reliable and efficient transportation systems [ 10 ]. Internet of Things (IoT) can be applied with the existing infrastructure and service networks for the design of transportation systems, such as software-defined networks and communication technologies [ 11 , 12 , 13 ]. IoT-based intelligent transportation systems (IoT-ITSs) can be classified into four main fields: Advanced traveler information system (ATIS), advanced public transportation system (APTS), advanced traffic management system (ATMS) and emergency management system (EMS) [ 13 ].…”

Section: Related Workmentioning

confidence: 99%

Towards Attention-Based Convolutional Long Short-Term Memory for Travel Time Prediction of Bus Journeys

Shen

2020

Sensors

Self Cite

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Travel time prediction is critical for advanced traveler information systems (ATISs), which provides valuable information for enhancing the efficiency and effectiveness of the urban transportation systems. However, in the area of bus trips, existing studies have focused on directly using the structured data to predict travel time for a single bus trip. For state-of-the-art public transportation information systems, a bus journey generally has multiple bus trips. Additionally, due to the lack of study on data fusion, it is even inadequate for the development of underlying intelligent transportation systems. In this paper, we propose a novel framework for a hybrid data-driven travel time prediction model for bus journeys based on open data. We explore a convolutional long short-term memory (ConvLSTM) model with a self-attention mechanism that accurately predicts the running time of each segment of the trips and the waiting time at each station. The model is more robust to capture long-range dependence in time series data as well.

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“…SDN may be a good solution to improve the flexibility and dependability [146] of large scale CPS. Real-time assurance at architecture level is mentioned a little in most proposals, especially the instability delay in the network communication.…”

Section: Architecting Dependable Self-managing Cpsmentioning

confidence: 99%

A Comprehensive Technological Survey on Dependable Self-Managing CPS: The Decade of Researches on Correctness and Dependability

Zhou¹,

Hou²,

Zhang³

et al. 2017

Preprint

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Though Cyber Physical Systems (CPS) become very popular in last the decade, dependability of CPS is still a critical issue and related survey is rare. We try to spell out the jigsaw of technologies and figure out the technical trends of dependable self-managing CPS. This survey first recalls the motivation and the similar concepts. By analyzing four generic architectures, we summarize the common characteristics and related assurance technologies, and propose a more generic environment-in-loop processing flow of CPS and a formal interaction flow between physical space and cyber space. Further, the similarity between correctness and dependability is formally analyzed and the new five research questions of dependable self-managing CPS are presented. Then we review the critical technologies and related correctness verification & validation (V&V) methods, the architectures for dependable self-managing CPS. Further, the detail dependability management and V&V technologies are surveyed, which covers the areas of running-time fault management methods and whole life cycle V&V technologies, maintenance and available tool sets. For holistic CPS development, Modeling techniques and MDE (model driven engineering) based V&V methods are analyzed in detail. Then we complete the jigsaw of technologies and figure out the missing part. Further, we propose the technical challenges and the further direction. To our best knowledge, this is the first comprehensive survey on dependable self-managing CPS development and evaluation.

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A Study on the Dependability of Software Defined Networks

Cited by 8 publications

References 4 publications

Availability Modelling of Software-Defined Backbone Networks

Availability Modelling of Software-Defined Backbone Networks

Towards Attention-Based Convolutional Long Short-Term Memory for Travel Time Prediction of Bus Journeys

A Comprehensive Technological Survey on Dependable Self-Managing CPS: The Decade of Researches on Correctness and Dependability

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