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Fault tolerance in computational grids: perspectives, challenges, and issues

Sajjad Haider, Babar Nazir
<span title="2016-11-18">2016</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/mc7ytjj3xvdubiwzvjyuch5jcu" style="color: black;">SpringerPlus</a> </i> &nbsp;
Fault tolerance is one of the most important issues faced by the computational grids.  ...  Moreover, our survey reveals that adaptive and intelligent fault identification, and tolerance techniques can improve the dependability of grid working environments. which permits unrestricted use, distribution  ...  Neural network based approaches One of the many usages of the neural networks is in the field/area of computer networks for diagnosing faults.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s40064-016-3669-0">doi:10.1186/s40064-016-3669-0</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/27933247">pmid:27933247</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC5116016/">pmcid:PMC5116016</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ne2twbfe7ncmdg3g4vxmr3zh34">fatcat:ne2twbfe7ncmdg3g4vxmr3zh34</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20171016145150/http://publisher-connector.core.ac.uk/resourcesync/data/Springer-OA/pdf/9a7/aHR0cDovL2xpbmsuc3ByaW5nZXIuY29tLzEwLjExODYvczQwMDY0LTAxNi0zNjY5LTAucGRm.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/91/58/915818d83e984f2d4eb24146798c55a9cd3d0f1c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s40064-016-3669-0"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5116016" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Review on Fault Tolerance Techniques in Cloud Computing

Zeeshan Amin, Harshpreet Singh, Nisha Sethi
<span title="2015-04-22">2015</span> <i title="Foundation of Computer Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/b637noqf3vhmhjevdfk3h5pdsu" style="color: black;">International Journal of Computer Applications</a> </i> &nbsp;
The objective of this paper is to propose an algorithm using Artificial Neural Network for fault detection which will overcome the gaps of previously implemented algorithms and provide a fault tolerant  ...  The ability of a system to react gracefully to an unexpected equipment or programming malfunction is known as fault tolerance.  ...  Fault detection is one of the biggest challenges in making a system fault tolerant. This thesis proposes the use of artificial Neural Networks for detecting the faults in cloud environment.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/20435-2768">doi:10.5120/20435-2768</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/f6vw5d3rjzdc5dc46phvjiupvq">fatcat:f6vw5d3rjzdc5dc46phvjiupvq</a> </span>
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Real-Time Data Representation Control in Convolution Neural Networks Based Indoor Wi-Fi Localization for Internet of Things

Dr. P. Srimanchari, Dr. G. Anandharaj
<span title="2017-10-31">2017</span> <i title="South Asia Management Association"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/oarwpnpqjjfbbkyptszxdp4ch4" style="color: black;">International Journal of Trend in Scientific Research and Development</a> </i> &nbsp;
We introduce an unsupervised neural network to extract an intrinsic sparse coding of the data.  ...  As the underlying semiconductor technologies are getting less and less reliable, the probability that some components of computing devices fail also increases, preventing designers from realizing the full  ...  to estimate the influence of faults on the neural computation from the initial design stages.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.31142/ijtsrd4694">doi:10.31142/ijtsrd4694</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4mv543ejaza55il3nqyyyxmgbe">fatcat:4mv543ejaza55il3nqyyyxmgbe</a> </span>
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Overview of Fault Tolerant Techniques in Underwater Sensor Networks [article]

Lauri Vihman, Maarja Kruusmaa, Jaan Raik
<span title="2019-10-02">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
One of the unavoidable increasing challenge for modern technology is tolerating faults - accepting that hardware is imperfect and cope with it.  ...  Fault tolerance may have more impact underwater than in terrestrial environment as terrestrial environment is more forgiving, reaching the malfunctioning devices for replacement underwater is harder and  ...  Fault Tolerance Techniques A distributed system is defined [13] as a collection of independent computers that appears to its users as a single coherent system.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1910.00889v1">arXiv:1910.00889v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pzc5mqi3zvcnnk2evk3nwrd2ye">fatcat:pzc5mqi3zvcnnk2evk3nwrd2ye</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200827080730/https://arxiv.org/pdf/1910.00889v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/51/e8/51e8b98b7d4ba5e477c3008d5d921981a1b3d1af.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1910.00889v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Using Convolutional Neural Networks for fault analysis and alleviation in accelerator systems [article]

Jashanpreet Singh Sraw, Deepak M C
<span title="2021-12-05">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Today, Neural Networks are the basis of breakthroughs in virtually every technical domain.  ...  Based on our results, we find critical results for the system reliability enhancement and we further put forth an efficient method to avoid these failures with minimal hardware overhead.  ...  of neural network acceler- to be strengthened in the fault-tolerant design.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2112.02657v1">arXiv:2112.02657v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fgrlr56v65frbgj3izgm23kunm">fatcat:fgrlr56v65frbgj3izgm23kunm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211208133958/https://arxiv.org/pdf/2112.02657v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/8c/45/8c45e2c182085b752f4a48e412fb43238cd04965.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2112.02657v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Fault resilient physical neural networks on a single chip

Weidong Shi, Yuanfeng Wen, Ziyi Liu, Xi Zhao, Dainis Boumber, Ricardo Vilalta, Lei Xu
<span title="">2014</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/h3qjmo5xyfe6fcrh4fogxmkkiq" style="color: black;">Proceedings of the 2014 International Conference on Compilers, Architecture and Synthesis for Embedded Systems - CASES &#39;14</a> </i> &nbsp;
Research for fault tolerant processors has primarily focused on the conventional processor architectures. Neural network computing has been employed to solve a wide range of problems.  ...  We studied the fault resilience performance of the described design using a RBM neural network trained for classifying handwritten digit images.  ...  Tolerating Hardware Faults To investigate the capacity of the physical neural networks to tolerate hardware faults, we conducted detailed studies of how hardware faults affect pattern recognition performance  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2656106.2656126">doi:10.1145/2656106.2656126</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/cases/ShiWLZBVX14.html">dblp:conf/cases/ShiWLZBVX14</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/f7yyfsaafzgcrbssdjmgohaqou">fatcat:f7yyfsaafzgcrbssdjmgohaqou</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170429054247/http://www2.cs.uh.edu:80/~vilalta/papers/2014/caes14.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/09/65/0965f1d00d0a34c9ac199bc5d9c02dc90e729fe5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2656106.2656126"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Data Structures and Algorithms for Packet Forwarding and Classification

Sartaj Sahni
<span title="">2009</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/siul7ujtmvhtzphmpwdz6fwtgy" style="color: black;">2009 10th International Symposium on Pervasive Systems, Algorithms, and Networks</a> </i> &nbsp;
Web services p. 162 Design schemes and performance analysis of dynamic rerouting interconnection networks for tolerating faults and preventing collisions p. 168 RRBS : a fault tolerance model  ...  for distributed shared memory p. 132 ER-TCP : an efficient fault-tolerance scheme for TCP connections p. 139 Online adaptive fault-tolerant routing in 2D torus p. 150 Replicating multithreaded  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/i-span.2009.122">doi:10.1109/i-span.2009.122</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/ispan/Sahni09.html">dblp:conf/ispan/Sahni09</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/p44oexvkrzbobdwhmrc4lkpglu">fatcat:p44oexvkrzbobdwhmrc4lkpglu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190224162734/http://pdfs.semanticscholar.org/5aa4/1ad560e7519f947ea20bc680dff3f99895ae.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/5a/a4/5aa41ad560e7519f947ea20bc680dff3f99895ae.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/i-span.2009.122"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Fault tolerance of self organizing maps

Cesar Torres-Huitzil, Oleksandr Popovych, Bernard Girau
<span title="">2017</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ysqqlpfhfzfhnkzmmw2mlqaihu" style="color: black;">2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM)</a> </i> &nbsp;
Since the quest for fault tolerance can be translated into scalable and reliable computing systems, hardware design itself and the potential use of faulty circuits have motivated further the investigation  ...  Neural computing principles remain elusive, yet they are considered as the source of a promising paradigm to achieve fault-tolerant computation.  ...  This work is also partially supported by Erasmus+ 2016-2017 and by the French embassy of Ukraine.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/wsom.2017.8020001">doi:10.1109/wsom.2017.8020001</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/wsom/Torres-HuitzilP17.html">dblp:conf/wsom/Torres-HuitzilP17</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/isovuz7vwnhy3bhwhcqy6ba4ju">fatcat:isovuz7vwnhy3bhwhcqy6ba4ju</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180724045240/https://hal.inria.fr/hal-01574212/document" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/4f/e6/4fe600f9f8088400afd283ce535901e3aba223bd.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/wsom.2017.8020001"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

A Dynamic Effective Fault Tolerance System in Robotic Manipulator using a Hybrid Neural Network based Controller

G. Jiji, M. Rajaram
<span title="2014-04-12">2014</span> <i title="Maxwell Scientific Publication Corp."> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/itifugluyrhulokjxf64yqrfey" style="color: black;">Research Journal of Applied Sciences Engineering and Technology</a> </i> &nbsp;
The proposed hybrid fault detection system is designed based on fuzzy support vector machine and Artificial Neural Networks (ANNs).  ...  the free-swinging and locked joint of the robot, two types of neural predictors are also employed in the proposed adaptive neural network structure.  ...  The approximation (by the neural network) of the offnominal behavior provides a model of the fault characteristics which can be used for detection and isolation of faults.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.19026/rjaset.7.611">doi:10.19026/rjaset.7.611</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/u5hurpm2hnbwpkqum36syjp44m">fatcat:u5hurpm2hnbwpkqum36syjp44m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170810150531/http://maxwellsci.com/print/rjaset/v7-2863-2867.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b3/2a/b32ad7d56ef1fdfa43a678721a224aab46a378ab.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.19026/rjaset.7.611"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Author index

<span title="">2006</span> <i title="IEEE"> 2006 IEEE International Conference on Cluster Computing </i> &nbsp;
: How Fault-Tolerant Is Fault-Tolerant MPI?  ...  Superscheduling Scheme for Computational Grids Henderson, Keith MSSG: A Framework for Massive-Scale Semantic Graphs Herault, Thomas FAIL-MPI: How Fault-Tolerant Is Fault-Tolerant MPI?  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/clustr.2006.311921">doi:10.1109/clustr.2006.311921</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vmbbimypuze7ncjqfonu4po5l4">fatcat:vmbbimypuze7ncjqfonu4po5l4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170830161217/https://www.computer.org/web/csdl/index/-/csdl/proceedings/cluster/2006/0327/00/04100427.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/3c/dd/3cdd8d9c0b6aed42cb88d705aa0677af1eb86c4b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/clustr.2006.311921"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

HyCA: A Hybrid Computing Architecture for Fault Tolerant Deep Learning [article]

Cheng Liu, Cheng Chu, Dawen Xu, Ying Wang, Qianlong Wang, Huawei Li, Xiaowei Li, Kwang-Ting Cheng
<span title="2021-10-27">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
To address the problem, we propose a hybrid computing architecture (HyCA) for fault-tolerant DLAs.  ...  Prior redundancy design approaches typically have each homogeneous redundant processing element (PE) to mitigate faulty PEs for a limited region of the 2-D computing array rather than the entire computing  ...  The first category mainly exploits the inherent fault-tolerance of the neural network models by retraining the neural network models specifically for the faulty computing array without any modification  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2106.04772v2">arXiv:2106.04772v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rtrqchetondwtb6s7q65dhvybe">fatcat:rtrqchetondwtb6s7q65dhvybe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211113033659/https://arxiv.org/pdf/2106.04772v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/99/0a/990a129be5f86e07c774604a1996bf32270f9019.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2106.04772v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Fault tolerance of self-organizing maps

Bernard Girau, Cesar Torres-Huitzil
<span title="2018-10-05">2018</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/a3wauupnbbdj7hbo62upc6grdq" style="color: black;">Neural computing &amp; applications (Print)</a> </i> &nbsp;
Bio-inspired computing principles are considered as a source of promising paradigms for fault-tolerant computation.  ...  However, studies have shown that most neural networks cannot be considered intrinsically fault tolerant without a proper design.  ...  As a matter of fact, studies have shown that most neural networks cannot be considered intrinsically fault tolerant without a proper design.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s00521-018-3769-6">doi:10.1007/s00521-018-3769-6</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7tau736nvba2loqwpflqsfvdvy">fatcat:7tau736nvba2loqwpflqsfvdvy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200309043418/https://hal.inria.fr/hal-02058459/document" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/1b/72/1b720c84e0909081b98ae0a8af5c26b6a8e32c0b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s00521-018-3769-6"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

FAULT TOLERATING MECHANISM IN DISTRIBUTED COMPUTING ENVIRONMENT

Lokendra Gour, Dr. Akhilesh A. Waoo
<span title="2020-08-01">2020</span> <i title="IJEAST"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/namhphsg6rdvtofp27o3scimoy" style="color: black;">International Journal of Engineering Applied Sciences and Technology</a> </i> &nbsp;
Under machine learning, an artificial neural network (ANN) captures, manipulates, and updates the states and behaviors of the sub-systems in the servers and worker's machines.  ...  Large scale distributed systems encompass heterogeneous computational machines, workloads and sub-systems dispersed diversely across the cloud environment.  ...  Fault tolerance is a major concern concerning the design of distributed systems "Engelmann et al. (2009), Kakade et al. (2012) highlighted the design of distributed systems".  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.33564/ijeast.2020.v05i04.096">doi:10.33564/ijeast.2020.v05i04.096</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/yflf277oovadfncrfze47ko6zi">fatcat:yflf277oovadfncrfze47ko6zi</a> </span>
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A Novel Real-Time Approach to Unified Power Flow Controller Validation

Keyou Wang, Mariesa L. Crow, Bruce McMillin, Stan Atcitty
<span title="">2010</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/gnhkf3aieraxhlw7vpy6whnksy" style="color: black;">IEEE Transactions on Power Systems</a> </i> &nbsp;
"Using Minimal and Maximal Fault Tolerance for the Assessment of Fault-Tolerant Algorithms," UMR Department of Computer Science Technical Report Number CSC 92-16 (with M. Schollmeyer).  ...  ASOSR/UMR Formal Methods for Subsumption of Assertions for Fault Tolerance in Changeling Ph.D. 1994 Su-Mei Tsai AFOSR Fault-Tolerant Distributed Real-Time Systems Ph.D. 1994 Cristina Serban  ... 
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2020 Index IEEE Transactions on Systems, Man, and Cybernetics: Systems Vol. 50

<span title="">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/whrz22ivnbhwbbeoexygwc4ybq" style="color: black;">IEEE Transactions on Systems, Man &amp; Cybernetics. Systems</a> </i> &nbsp;
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  ., +, TSMC Sept. 2020 3358-3368 Fault tolerance A Neural Adaptive Approach for Active Fault-Tolerant Control Design in UAV.  ... 
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