13,685 research outputs found
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Stochastic modelling of the effects of interdependencies between critical infrastructure
An approach to Quantitative Interdependency Analysis, in the context of Large Complex Critical Infrastructures, is presented in this paper. A Discrete stateâspace, Continuousâtime, Stochastic Process models the operation of critical infrastructure, taking interdependencies into account. Of primary interest are the implications of both model detail (that is, level of model abstraction) and model parameterisation for the study of dependencies. Both of these factors are observed to affect the distribution of cascadeâsizes within and across infrastructure
Modelling interdependencies between the electricity and information infrastructures
The aim of this paper is to provide qualitative models characterizing
interdependencies related failures of two critical infrastructures: the
electricity infrastructure and the associated information infrastructure. The
interdependencies of these two infrastructures are increasing due to a growing
connection of the power grid networks to the global information infrastructure,
as a consequence of market deregulation and opening. These interdependencies
increase the risk of failures. We focus on cascading, escalating and
common-cause failures, which correspond to the main causes of failures due to
interdependencies. We address failures in the electricity infrastructure, in
combination with accidental failures in the information infrastructure, then we
show briefly how malicious attacks in the information infrastructure can be
addressed
Towards a Common Language of Infrastructure Interdependency
Infrastructure systems can exist interdependently with one another either by design, necessity or evolution. There is
evidence that interdependencies can be the source of emergent benefits and hazards, and therefore there is value in
their identification and management. Achieving this requires collaboration and communication between infrastructure
stakeholders across all relevant sectors.
Recognising, developing and sharing multiple understandings of infrastructure interdependency and dependency will
facilitate a wide range of multi-disciplinary and cross-sectorial work and support productive stakeholder dialogues.
This paper therefore aims to initiate discussion around the nature of infrastructure interdependency and dependency
in order to establish the basis of a useful, coherent and complete conceptual taxonomy. It sets out an approach for
locating this taxonomy and language within a framework of commonplace stakeholder viewpoints.
The paper looks at the potential structural arrangements of infrastructure interdependencies before exploring the
qualitative ways in which the relationships can be characterised. This builds on the existing body of knowledge as
well as experience through case studies in developing an Interdependency Planning and Management Framework for
Infrastructure
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Current capabilities, requirements and a proposed strategy for interdependency analysis in the UK
The UK government recently commissioned a research study to identify the state-of-the-art in Critical Infrastructure modelling and analysis, and the government/industry requirements for such tools and services. This study (Cetifs) concluded with a strategy aiming to bridge the gaps between the capabilities and requirements, which would establish interdependency analysis as a commercially viable service in the near future. This paper presents the findings of this study that was carried out by CSR, City University London, Adelard LLP, a safety/security consultancy and Cranfield University, defense academy of the UK
Infrastructure interdependencies and business-level impacts: a new approach to climate risk assessment
This report examines some of the physical impacts of climate change on the infrastructure sector and the resulting cascade of consequences for the broader economy.The report summarises findings from a workshop conducted in December 2012 by The Climate Institute, Manidis Roberts (a part of the RPS Group) and KPMG, which piloted a process for analysing the climate-related risks associated with interdependent infrastructure systems of a major city. The workshop was informed by a range of sources: a desktop review of academic, business and government documents; analysis from experts in the fields of risk, resilience, sustainability and infrastructure planning; analysis of historical events; interdependency mapping and quantitative modelling.This workshop report follows The Climate Instituteâs recently published report Coming Ready or Not: Managing climate risks to Australian infrastructure, which synthesised research on the physical impacts and flow-on consequences of climate change and analysed preparations for climate change impacts in Australia amongst owners and operators of major infrastructure assets
Resilient Critical Infrastructure Management using Service Oriented Architecture
AbstractâThe SERSCIS project aims to support the use of interconnected systems of services in Critical Infrastructure (CI) applications. The problem of system interconnectedness is aptly demonstrated by âAirport Collaborative Decision Makingâ (ACDM). Failure or underperformance of any of the interlinked ICT systems may compromise the ability of airports to plan their use of resources to sustain high levels of air traffic, or to provide accurate aircraft movement forecasts to the wider European air traffic management systems. The proposed solution is to introduce further SERSCIS ICT components to manage dependability and interdependency. These use semantic models of the critical infrastructure, including its ICT services, to identify faults and potential risks and to increase human awareness of them. Semantics allows information and services to be described in such a way that makes them understandable to computers. Thus when a failure (or a threat of failure) is detected, SERSCIS components can take action to manage the consequences, including changing the interdependency relationships between services. In some cases, the components will be able to take action autonomously â e.g. to manage âlocalâ issues such as the allocation of CPU time to maintain service performance, or the selection of services where there are redundant sources available. In other cases the components will alert human operators so they can take action instead. The goal of this paper is to describe a Service Oriented Architecture (SOA) that can be used to address the management of ICT components and interdependencies in critical infrastructure systems. Index Termsâresilience; QoS; SOA; critical infrastructure, SLA
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