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Diagnosing multiple faults.

by Johan De Kleer , Brian C Williams - Artificial Intelligence, , 1987
"... Abstract Diagnostic tasks require determining the differences between a model of an artifact and the artifact itself. The differences between the manifested behavior of the artifact and the predicted behavior of the model guide the search for the differences between the artifact and its model. The ..."
Abstract - Cited by 808 (62 self) - Add to MetaCart
in the domain of troubleshooting digital circuits. This research makes several novel contributions: First, the system diagnoses failures due to multiple faults. Second, failure candidates are represented and manipulated in terms of minimal sets of violated assumptions, resulting in an efficient diagnostic

Coda: A Highly Available File System for a Distributed Workstation Environment

by Mahadev Satyanarayanan, James J. Kistler, Puneet Kumar, Maria E. Okasaki, Ellen H. Siegel, David C. Steere - IN IEEE TRANSACTIONS ON COMPUTERS , 1990
"... Coda is a file system for a large-scale distributed computing environment composed of Unix workstations. It provides resiliency to server and network failures through the use of two distinct but complementary mechanisms. One mechanism, server replication,stores copies of a file at multiple servers ..."
Abstract - Cited by 530 (45 self) - Add to MetaCart
Coda is a file system for a large-scale distributed computing environment composed of Unix workstations. It provides resiliency to server and network failures through the use of two distinct but complementary mechanisms. One mechanism, server replication,stores copies of a file at multiple

Dropout from higher education: A theoretical synthesis of recent research

by Vincent Tinto - Review of Educational Research , 1975
"... Despite the very extensive literature on dropout from higher education, much remains unknown about the nature of the dropout process. In large measure, the failure of past research to delineate more clearly the multiple characteristics of dropout can be traced to two major shortcomings; namely, inad ..."
Abstract - Cited by 798 (2 self) - Add to MetaCart
Despite the very extensive literature on dropout from higher education, much remains unknown about the nature of the dropout process. In large measure, the failure of past research to delineate more clearly the multiple characteristics of dropout can be traced to two major shortcomings; namely

Dryad: Distributed Data-Parallel Programs from Sequential Building Blocks

by Michael Isard, Mihai Budiu, Yuan Yu, Andrew Birrell, Dennis Fetterly - In EuroSys , 2007
"... Dryad is a general-purpose distributed execution engine for coarse-grain data-parallel applications. A Dryad applica-tion combines computational “vertices ” with communica-tion “channels ” to form a dataflow graph. Dryad runs the application by executing the vertices of this graph on a set of availa ..."
Abstract - Cited by 762 (27 self) - Add to MetaCart
simultaneously on multi-ple computers, or on multiple CPU cores within a computer. The application can discover the size and placement of data at run time, and modify the graph as the computation pro-gresses to make efficient use of the available resources. Dryad is designed to scale from powerful multi-core sin

The spandrels of San Marco and the Panglossian paradigm: a critique of the adaptationist programme.

by S J Gould , R C Lewontin - Proceedings of the Royal Society of London Series B, Biological Sciences , 1979
"... An adaptationist programme has dominated evolutionary thought in England and the United States during the past 40 years. It is based on faith in the power of natural selection as an optimizing agent. It proceeds by breaking an organism into unitary 'traits' and proposing an adaptive story ..."
Abstract - Cited by 538 (2 self) - Add to MetaCart
when it occurs. We fault the adaptationist programme for its failure to distinguish current utility from reasons for origin (male tyrannosaurs may have used their diminutive front legs to titillate female partners, but this will not explain why they got so small); for its unwillingness to consider

An extensive empirical study of feature selection metrics for text classification

by George Forman, Isabelle Guyon, André Elisseeff - J. of Machine Learning Research , 2003
"... Machine learning for text classification is the cornerstone of document categorization, news filtering, document routing, and personalization. In text domains, effective feature selection is essential to make the learning task efficient and more accurate. This paper presents an empirical comparison ..."
Abstract - Cited by 496 (15 self) - Add to MetaCart
of twelve feature selection methods (e.g. Information Gain) evaluated on a benchmark of 229 text classification problem instances that were gathered from Reuters, TREC, OHSUMED, etc. The results are analyzed from multiple goal perspectives—accuracy, F-measure, precision, and recall—since each is appropriate

Term Premia and Interest Rate Forecasts in Affine Models

by Gregory R. Duffee, Jonathan Berk, Rob Bliss, Qiang Dai, Darrell Duffie , 2001
"... I find that the standard class of a#ne models produces poor forecasts of future changes in Treasury yields. Better forecasts are generated by assuming that yields follow random walks. The failure of these models is driven by one of their key features: The compensation that investors receive for faci ..."
Abstract - Cited by 454 (13 self) - Add to MetaCart
I find that the standard class of a#ne models produces poor forecasts of future changes in Treasury yields. Better forecasts are generated by assuming that yields follow random walks. The failure of these models is driven by one of their key features: The compensation that investors receive

PREFAIL: A Programmable Tool for Multiple-Failure Injection

by Pallavi Joshi, Haryadi S. Gunawi, Koushik Sen
"... As hardware failures are no longer rare in the era of cloud computing, cloud software systems must “prevail ” against multiple, diverse failures that are likely to occur. Testing software against multiple failures poses the problem of combinatorial explosion of multiple failures. To address this pro ..."
Abstract - Cited by 13 (2 self) - Add to MetaCart
As hardware failures are no longer rare in the era of cloud computing, cloud software systems must “prevail ” against multiple, diverse failures that are likely to occur. Testing software against multiple failures poses the problem of combinatorial explosion of multiple failures. To address

Multiple failure survivability in WDM networks with p-cycles

by D. A. Schupke - Proceedings of ISCAS 2003
"... Preconfigured protection cycles or “p-cycles ” can attain high capacity efficiency and fast protection switching times when deployed in WDM mesh networks. We consider the survivability of p-cycles in presence of multiple failures which can occur in larger networks. 1. ..."
Abstract - Cited by 14 (2 self) - Add to MetaCart
Preconfigured protection cycles or “p-cycles ” can attain high capacity efficiency and fast protection switching times when deployed in WDM mesh networks. We consider the survivability of p-cycles in presence of multiple failures which can occur in larger networks. 1.

Repairing Multiple Failures with Coordinated and Adaptive Regenerating Codes

by Anne-marie Kermarrec, Nicolas Le Scouarnec, Gilles Straub - in NetCod’2011: The 2011 International Symposium on Network Coding , 2011
"... Abstract—Erasure correcting codes are widely used to ensure data persistence in distributed storage systems. This paper addresses the repair of such codes in the presence of simultaneous failures. It is crucial to maintain the required redundancy over time to prevent permanent data losses. We go bey ..."
Abstract - Cited by 30 (4 self) - Add to MetaCart
of live devices and the number of devices being repaired. We prove that deliberately delaying repairs does not bring additional gains in itself. This means that regenerating codes are optimal as long as each failure can be repaired before a second one occurs. Yet, when multiple failures are detected
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