Network Reliability and Fault Tolerance

Médard, Muriel; Lumetta, Steven S.

doi:10.1002/0471219282.eot281

Cited by 23 publications

(7 citation statements)

References 54 publications

(23 reference statements)

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“…Redundancy is the main characteristic provided by any reliable network that has been shown absolutely useful to recover from transient and permanent failures [ 7 , 62 ]. In this context different spatial and temporal redundancy techniques have been applied [ 121 ]. On the one hand, spatial redundancy techniques replicate components or data in the system, e.g, error-correction codes and transmission over multiple paths through the network, adopting in some cases 1:1 redundancy schemes [ 7 ].…”

Section: Network-level Solutionsmentioning

confidence: 99%

Predictive Reliability and Fault Management in Exascale Systems

et al. 2020

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Performance and power constraints come together with Complementary Metal Oxide Semiconductor technology scaling in future Exascale systems. Technology scaling makes each individual transistor more prone to faults and, due to the exponential increase in the number of devices per chip, to higher system fault rates. Consequently, High-performance Computing (HPC) systems need to integrate prediction, detection, and recovery mechanisms to cope with faults efficiently. This article reviews fault detection, fault prediction, and recovery techniques in HPC systems, from electronics to system level. We analyze their strengths and limitations. Finally, we identify the promising paths to meet the reliability levels of Exascale systems.

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Section: Network-level Solutionsmentioning

confidence: 99%

Predictive Reliability and Fault Management in Exascale Systems

et al. 2020

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“…This is perhaps the most stable form of resilience, since it depends only on the system's overall features. It is also possible to apply more dynamic techniques, either by adapting the network (perhaps activating additional links) or by adapting its behavior (perhaps providing new service instances or changed protocols or security stances): a more "temporal" form of resilience that can use less resources under normal circumstances and provide a more flexible array of responses [14].…”

Section: A Self-organizationmentioning

confidence: 99%

Self-Organization and Resilience for Networked Systems: Design Principles and Open Research Issues

et al. 2019

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| Networked systems form the backbone of modern society, underpinning critical infrastructures such as electricity, water, transport and commerce, and other essential services (e.g., information, entertainment, and social networks).It is almost inconceivable to contemplate a future without even more dependence on them. Indeed, any unavailability of such critical systems is-even for short periods-a rather bleak prospect. However, due to their increasing size and complexity, they also require some means of autonomic formation and self-organization. This paper identifies the design principles and open research issues in the twin fields of self-organization and resilience for networked systems. In combination, they offer the prospect of combating threats and allowing essential services that run on networked systems to continue operating satisfactorily. This will be achieved, on the one hand, through the (self-)adaptation of networked systems and, on the other Manuscript hand, through structural and operational resilience techniques to ensure that they can detect, defend against, and ultimately withstand challenges.

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“…Cycle is one of the distinct features to characterize a graph. The analysis of cycles in networks have different applications in the design and development of communicaiton systems, such as the investigation of topological features [6], and consideration of reliability and fault tolerance [4], etc. There are various problems related to the analysis of cycles in networks.…”

Section: Introductionmentioning

confidence: 99%

A new way to enumerate cycles in graph

Liu

Wang

2006

Advanced Int'l Conference on Telecommunications and Int'l Conference on Internet and Web Applications and Services (AICT-ICIW'0

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In many cases, the topology of communcation systems can be abstracted and represented as graph. Graph theories and algorithms are useful in these situations. In this paper, we introduced an algorithm to enumerate all cycles in a graph. It can be applied on digraph or undirected graph. Multigraph can also be used on for this purpose. It can be used to enumerate given length cycles without enumerating all cycles. This algorithm is simple and easy to be implemented.

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Network Reliability and Fault Tolerance

Cited by 23 publications

References 54 publications

Predictive Reliability and Fault Management in Exascale Systems

Predictive Reliability and Fault Management in Exascale Systems

Self-Organization and Resilience for Networked Systems: Design Principles and Open Research Issues

A new way to enumerate cycles in graph

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