A Two-Stage Fault Tolerance Method for Large-Scale Manufacturing Network

Wu, Yinan; Peng, Gongzhuang; Wang, Hongwei; Zhang, Heming

doi:10.1109/access.2019.2923660

Cited by 8 publications

(4 citation statements)

References 43 publications

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“…If the server with the maximum reliability fails, then the task or VM executing on this server is scheduled at the server having the second-best reliability. A two-stage FT technique is presented by Wu, Y. et al (2019). In the first state, the authors have developed an algorithm to rank the services according to their significance.…”

Section: Related Workmentioning

confidence: 99%

An Adaptable Approach to Fault Tolerance in Cloud Computing

Kumari

Kaur

2023

International Journal of Cloud Applications and Computing

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Existing fault tolerance approaches in the cloud are broadly based on replication and checkpointing. Each of these approaches has its advantages and limitations. This paper presents an adaptable fault tolerance method for determining which of the two approaches will be appropriate for the successful execution of a task in the given cloud conditions. The proposed method classifies the failure risk of host machines available for task execution based on their failure history. Subsequently, fuzzy logic is used to determine the appropriate fault tolerance approach by considering a host's failure risk, user-defined task's priority, and level of resource redundancy. Setting a task's priority provides a user with control to solicit a desired fault tolerance level while the availability of resources reflects a cloud provider's capability to offer fault tolerance. Simulation experiments have verified that the proactive selection of a fault-tolerance method increases the number of tasks that complete successfully.

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Section: Related Workmentioning

confidence: 99%

An Adaptable Approach to Fault Tolerance in Cloud Computing

Kumari

Kaur

2023

International Journal of Cloud Applications and Computing

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“…As a result, LeaderRank has a faster convergence rate, higher stability for noisy data, and more robustness to manipulations (Li et al, 2014). LeaderRank is further applied to identify the influential nodes in complex products and systems (Li et al, 2019); in power grids (Zhou et al, 2019); in manufacturing services (Wu et al, 2019). Notably, in the field of "Library & Information Science", Xu et al (2020) found that LeaderRank had the best performance in ranking science and technology citation data, compared with other 17 network-based metrics.…”

Section: Pagerank and Leaderrankmentioning

confidence: 99%

Characterizing research leadership on geographically weighted collaboration network

Zhang

2021

Scientometrics

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Research collaborations, especially long-distance and international collaborations, have become increasingly prevalent worldwide. Recent studies highlighted the significant role of research leadership in collaborations. However, existing measures of the research leadership do not take into account the intensity of leadership in the co-authorship network. More importantly, the spatial features, which influence the collaboration patterns and research outcomes, have not been incorporated in measuring the research leadership. To fill the gap, we construct an institution-level weighted co-authorship network that integrates two types of weight on the edges: the intensity of collaborations and the spatial score (the geographical distance adjusted by the cross-linguistic-border nature). Based on this network, we propose a novel metric, namely the spatial research leadership rank, to identify the leading institutions while considering both the collaboration intensity and the spatial features. The leadership of an institution is measured by the following three criteria: (a) the institution frequently plays the corresponding rule in papers with other institutions; (b) the institution frequently plays the corresponding rule in longer distance and even cross-linguistic-border collaborations; (c) the participating institutions led by the institution have high leadership status themselves. Harnessing a dataset of 323,146 journal publications in pharmaceutical sciences during 2010-2018, we perform a comprehensive analysis of the geographical distribution and dynamic patterns of research leadership flows at the institution level. The results demonstrate that the SpatialLeaderRank outperforms baseline metrics in predicting the scholarly impact of institutions. And the result remains robust in the field of Information Science and Library Science.

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“…Moreover, their method has largely eliminated the problems of user preferences and fault tolerance based on several parameters of service quality. Wu et al [29] employed replication strategies to achieve the trade-off between fault tolerance effect and fault tolerance loss. They proposed an A * -based heuristic alternative path searching (AHPS) algorithm to find suitable replacement schemes for composite services.…”

Section: Literature Reviewmentioning

confidence: 99%

A fuzzy neural network for web service selection aimed at dynamic software rejuvenation

Kalantari¹,

Ebrahimnejad²,

Motameni³

2020

Turk J Elec Eng & Comp Sci

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Software rejuvenation is an effective technique to counteract software aging in continuously running applications such as web service-based systems. In these systems, web services are allocated based on the requirements of receivers and the facilities of servers. One of the challenges while assigning web services is how to select appropriate server to reduce faults. In this paper, we propose dynamic software rejuvenation as a proactive fault-tolerance technique based on the neural fuzzy system. While considering a threshold for the rejuvenation of each web service, we completed the training based on the features of the service providers as well as the requirements of the receivers. The results of simulations revealed that our strategy can decrease the failure rate in comparison with state-of-the-art strategies and improve system availability in web services.

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A Two-Stage Fault Tolerance Method for Large-Scale Manufacturing Network

Cited by 8 publications

References 43 publications

An Adaptable Approach to Fault Tolerance in Cloud Computing

An Adaptable Approach to Fault Tolerance in Cloud Computing

Characterizing research leadership on geographically weighted collaboration network

A fuzzy neural network for web service selection aimed at dynamic software rejuvenation

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