Timeliness of Real-Time IP Communication in Switched Industrial Ethernet Networks

Skeie, Tor; Johannessen, S.; Holmeide, Ø.

doi:10.1109/tii.2006.869934

Cited by 104 publications

(51 citation statements)

References 27 publications

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“…Some recent proposals have suggested migrating to the IP based monitoring and control paradigm for industrial automation (e.g. [20], [32]). Current DNOs face severe communication inadequacy due to the presence of analogue circuits and low speed modems in their SCADA systems and interoperability problem due to proprietary protocols.…”

Section: B Protocolsmentioning

confidence: 99%

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Communication Infrastructures for Distributed Control of Power Distribution Networks

Yang¹,

Barria

Green

2011

IEEE Trans. Ind. Inf.

240

122

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Abstract-Power distribution networks with distributed generators (DGs) can exhibit complex operational regimes which makes conventional management approaches no longer adequate. This paper looks into key communication infrastructure design aspects, and analyzes two representative evolution cases of Active Network Management (ANM) for distributed control. Relevant standard initiatives, communication protocols and technologies are introduced and underlying engineering challenges are highlighted. By analyzing two representative case networks (meshed and radial topologies) at different voltage levels (33kV and 11kV), this paper discusses the design considerations and presents performance results based on numerical simulations. This study focuses on the key role of the telecommunications provision when upgrading and deploying distributed control solutions, as part of future ANM systems.

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Section: B Protocolsmentioning

confidence: 99%

“…Lots of research efforts (e.g. [6], [32]) have been conducted to remove these concerns. In addition, some alternatives are developed with more efficient polling mechanisms (e.g.…”

Section: B Protocolsmentioning

confidence: 99%

Communication Infrastructures for Distributed Control of Power Distribution Networks

Yang¹,

Barria

Green

2011

IEEE Trans. Ind. Inf.

240

122

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“…Skeie et al [19] suggest two possible methods for assessing the performance of a network -network simulation and network calculus.…”

Section: Assessing Network Latency Performancementioning

confidence: 99%

“…This mathematical technique calculates a hard bound on latencies, buffer allocations and throughput. Network Calculus is less demanding on computation time than packet-based simulation packages and therefore "can be suitable for online assessment" [19]. Network traffic is generated from source nodes and flows through to sink nodes via a path passing through intermediate routing points.…”

Section: Assessing Network Latency Performancementioning

confidence: 99%

Evolving Robust Networks for Systems-of-Systems

Aitken

Alexander

Kelly

et al. 2012

Search Based Software Engineering

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Abstract. Software systems that rely on ad-hoc networks are becoming increasingly complex and increasingly prevalent. Some of these systems provide vital functionality to military operations, emergency services and disaster relief; such systems may have significant impact on the safety of people involved in those operations. It is therefore important that those networks support critical software requirements, including those for latency of packet transfer. If a network ceases to meet the software's requirements (e.g. due to a link failure) then engineers must be able to understand it well enough to reconfigure the network and restore it to a requirement-satisfying state. Given a complex network, it is difficult for a human to do this under time pressure. In this paper we present a search-based tool which takes a network defined using the Network Description Language (NDL), annotated with a set of network-hosted applications and a set of latency requirements between each. We then evolve variants of the network configuration which meet the requirements and are robust to single link failures. We use network calculus tools to get a fast, conservative evaluation of whether a given network meets its requirements. We demonstrate that this approach is viable, designs networks much faster than a human engineer could, and is superior to a random generate-and-test approach.

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“…The Network Calculus has recently attracted a lot of attention as a deterministic framework for worst case analysis of delay and backlog bounds for communication networks as for example, Switched Ethernet [6], [7], wireless sensor networks [8], [9] or even System On chip [10]. Furthermore, there are available tools for network-calculus analysis based on Matlab like RTC [11] and CYNC [12] toolboxes or on java like DISCO toolbox [13].…”

Section: Introduction and Related Workmentioning

confidence: 99%

WOPANets: A tool for WOrst case Performance Analysis of embedded Networks

Mifdaoui

Ayed

2010

2010 15th IEEE International Workshop on Computer Aided Modeling, Analysis and Design of Communication Links and Networks (CAMA

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Abstract-WOPANets (WOrst case Performance Analysis of embedded Networks) is a design aided-decision tool for embedded networks. This tool offers an ergonomic interface to the designer to describe the network and the circulating traffic and embodies a static performance evaluation technique based on the Network Calculus theory combined to optimization analysis to support early system level design exploration for embedded networks.In this paper, we describe the features set of WOPANets tool and we provide analysis in the case of a realistic embedded avionic network to show how the variation of some system's parameters can improve the system performances to support the required constraints.

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Timeliness of Real-Time IP Communication in Switched Industrial Ethernet Networks

Cited by 104 publications

References 27 publications

Communication Infrastructures for Distributed Control of Power Distribution Networks

Communication Infrastructures for Distributed Control of Power Distribution Networks

Evolving Robust Networks for Systems-of-Systems

WOPANets: A tool for WOrst case Performance Analysis of embedded Networks

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