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Adaptive Inference-based Learning and Rule Generation Algorithms in Fuzzy Neural Network for Failure Prediction

Adaptive Inference-based Learning and Rule Generation Algori...

引用

The 2010 International Conference on intelligent systems and Knowledge Engineering(第五届智能系统与知识工程国际会议)

作者： Vahid Behbood Jie lu Guangquan Zhang Decision Systems & E-Service Intelligence Research Laboratory Center for Quantum Computing and Intelligent System School of Software Faculty of Engineering and Information Technology University of Technology Sydney Sydney POBOX123 Broadway NSW2007 Australia

Creating an applicable and precise failure prediction system is highly desirable for decision makers and regulators in the finance industry. This study develops a new Failure Prediction (FP) approach which effectively integrates a fuzzy logic-based adaptive inference system with the learning ability of a neural network to generate knowledge in the form of a fuzzy rule base. This FP approach uses a preprocessing phase to deal with the imbalanced data-sets problem and develops a new Fuzzy Neural Network (FNN) including an adaptive inference system in the learning algorithm along with its network structure and rule generation algorithm as a means to reduce prediction error in the FP approach.

关键词： Accuracy Inference algorithms Fuzzy neural networks Prediction algorithms Pragmatics Artificial neural networks Clustering algorithms

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Generalized Mongue-Elkan Method for Approximate Text String Comparison

Generalized Mongue-Elkan Method for Approximate Text String ...

引用

10th International Conference on intelligent Text Processing and Computational Linguistics

作者： Jimenez, Sergio Becerra, Claudia Gelbukh, Alexander Gonzalez, Fabio Intelligent Systems Laboratory (LISI) Systems and Industrial Engineering Department National University of Colombia Colombia Natural Language Laboratory Center for Computing Research (CIC) National Polytechnic Institute (IPN) Mexico

ISBN: (纸本)9783642003813

The Mongue-Elkan method is a general text string comparison method based on an internal character-based similarity measure (e.g. edit distance) combined with a token level (i.e. word level) similarity measure. We propose a generalization of this method based on the notion of the generalized arithmetic mean instead of the simple average used in the expression to calculate the Monge-Elkan method. The experiments carried out with 12 well-known name-matching data sets show that the proposed approach outperforms the original Monge-Elkan method when character-based measures are used to compare tokens.

关键词： Text processing

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Efficient and deadlock-free reconfiguration for source routed networks

Efficient and deadlock-free reconfiguration for source route...

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23rd IEEE International Parallel and distributed Processing Symposium, IPDPS 2009

作者： Solheim, Åshild Grønstad Lysne, Olav Bermúdez, Aurelio Casado, Rafael Sødring, Thomas Skeie, Tor Robles-Gómez, Antonio Networks and Distributed Systems Group Simula Research Laboratory Lysaker Norway Department of Informatics University of Oslo Oslo Norway Computing Systems Department University of Castilla-La Mancha Albacete Spain

ISBN: (纸本)9781424437504

Overlapping Reconfiguration is currently the most effi-cient method to reconfigure an interconnection network, but is only valid for systems that apply distributed routing. This paper proposes a solution which enables utilization of Overlapping Reconfiguration in a source routed environ-ment. We demonstrate how a synchronized injection of tokens has a significant impact on the performance of the method. Furthermore, we propose and evaluate an optimization of the original algorithm that reduces (and in some cases even eliminates) performance issues caused by the token forwarding regime, such as increased latency and decreased throughput. © 2009 IEEE.

关键词： Interconnection networks (circuit switching)

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A distributed heuristic for decentralized workflow scheduling in global grids

A distributed heuristic for decentralized workflow schedulin...

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2009 10th IEEE/ACM International Conference on Grid computing, Grid 2009

作者： Rahman, Mustafizur Ranjan, Rajiv Buyya, Rajkumar Grid Computing and Distributed Systems Laboratory Department of Computer Science and Software Engineering University of Melbourne Australia Service Oriented Computing Research Group School of Computer Science and Engineering University of New South Wales Australia

ISBN: (纸本)9781424451494

Efficient scheduling is a key concern for the effectual execution of performance driven Grid applications, such as workflows. Many list heuristics have been developed for scheduling workflows in centralized Grid environment. However, in this paper, we present a distributed list heuristic for decentralized scheduling of workflow applications in global Grids. The simulation results show that the proposed scheduling approach is scalable with respect to increased workload on the system. © 2009 IEEE.

关键词： Scheduling

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Dependable workflow scheduling in global grids

Dependable workflow scheduling in global grids

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2009 10th IEEE/ACM International Conference on Grid computing, Grid 2009

ISBN: (纸本)9781424451494

In this paper, a reputation-based Grid workflow scheduling algorithm is proposed to counter the effect of inherent unreliability and temporal characteristics of computing resources in large scale, decentralized Grid overlays. The proposed approach builds upon structured peer-to-peer indexing and overlay networking techniques to create a scalable wide-area networking of Grid sites for supporting dependable scheduling of applications. The scheduling algorithm considers reliability of a Grid resource as a statistical property, which is globally computed in the decentralized Grid overlay based on dynamic feedbacks or reputation scores assigned by individual service consumers (Grid Resource Brokers). The proposed algorithm can dynamically adapt to changing resource conditions and offer significant performance gains as compared to traditional approaches in the event of unsuccessful job execution or resource failure. We evaluate and demonstrate the feasibility of our approach through an extensive trace driven simulation. The results show that our scheduling technique can reduce the makespan up to 50% and successfully isolate the failure-prone resources from the system. © 2009 IEEE.

关键词： Scheduling algorithms

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Scheduling algorithm for grid computing systems: An evolutionary multi-objective optimization

Scheduling algorithm for grid computing systems: An evolutio...

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4th Indian International Conference on Artificial Intelligence, IICAI 2009

作者： Perez-Cebreros, Arturo Martinez-Luna, Gilberto Vargas-Arroyo, Rocio Centre for Computer Research Database and Information Systems Laboratory National Polytechnic Institute Av. Juan Dios Batiz s/n Zacatenco 07738 Mexico City Mexico Centre for Computer Research Distributed Computing Laboratory CENIDET Interior Internado Palmira s/n Col. Palmira Cuernavaca Morelos Mexico

ISBN: (纸本)9780972741279

The accelerated development in Grid computing has positioned it as the promising next generation of computing platforms. Grid computing involves resource management, task scheduling, security problems, information management and so on. In particular, scheduling is one of the core issues to take in consideration in order to exploit the capabilities of Grid systems. In this paper we present a Multi-Objective Particle Swarm (MOPSO) based schedulers for efficiently allocating jobs to resources in a Grid system. The experimental study showed that MOPSO-based schedulers outperform existing GA implementations in the literature for the problem and also revealed their efficiency when makespan and flowtime are minimized. Copyright © 2009 by IICAI.

关键词： Multiobjective optimization

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Early Experiences with Write-Write Design of NFS over RDMA

Early Experiences with Write-Write Design of NFS over RDMA

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International Conference on Networking, Architecture, and Storage (NAS)

作者： Bo Li Panyong Zhang Zhigang Huo Dan Meng National Research Center for Intelligent Computing Systems Institute of Computing Technology Key Laboratory of Computer System and Architecture Chinese Academy of Sciences China National Research Center for Intelligent Computing Systems Institute of Computing Technology Key Laboratory of Computer System and Architecture Chinese Academy and Sciences China

The network file system (NFS) protocol, as the de facto standard for sharing files in a distributed environment, has deployed Infiniband as the underlying transport of sunRPC, namely NFS over RDMA. In the current Read-Write design of NFS over RDMA, NFS write performance is limited for not fully utilizing the features of Infiniband. In this paper, we take on the challenge of enhancing the write performance of NFS. We propose and evaluate a new design of sunRPC over RDMA, namely Write-Write design. To guarantee the security of our design, we propose an HCA-based memory protection extension of Infiniband. Evaluations show that our Write-Write design increases the kernel-to-kernel RPC bandwidth by 15~27%. In real disk test, our Write-Write design gains 15%~22% in multi-client benchmarks compared with the Read-Write design.

关键词： Security Protection Bandwidth Scalability Computer architecture Computer networks distributed computing File systems Benchmark testing Protocols

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Efficient and deadlock-free reconfiguration for source routed networks

Efficient and deadlock-free reconfiguration for source route...

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International Symposium on Parallel and distributed Processing (IPDPS)

作者： Ashild Gronstad Solheim Olav Lysne Aurelio Bermudez Rafael Casado Thomas Sodring Tor Skeie Antonio Robles-Gomez Networks and Distributed Systems Group Simula Research Laboratory Lysaker Norway Department of Informatics University of Oslo Oslo Norway Computing Systems Department University of Castilla-La Mancha Albacete Spain Simula Research Laboratory Networks and Distributed Systems Group Lysaker Norway

Overlapping Reconfiguration is currently the most efficient method to reconfigure an interconnection network, but is only valid for systems that apply distributed routing. This paper proposes a solution which enables utilization of Overlapping Reconfiguration in a source routed environment. We demonstrate how a synchronized injection of tokens has a significant impact on the performance of the method. Furthermore, we propose and evaluate an optimization of the original algorithm that reduces (and in some cases even eliminates) performance issues caused by the token forwarding regime, such as increased latency and decreased throughput.

关键词： System recovery Routing Synchronization Delay Throughput Fabrics Switches Laboratories Informatics Computer networks

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Structural Learning of Bayesian Networks by Using Variable Neighbourhood Search Based on the Space of Orderings

Structural Learning of Bayesian Networks by Using Variable N...

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International Conference on intelligent systems Design and Applications (ISDA)

作者： Juan I. Alonso-Barba Luis delaOssa Jose M. Puerta Laboratory of Intelligent Systems and Data Mining Albacete Research Institute of Informatics Computing Systems Department University of Castilla La Mancha Albacete Spain

Structural learning of Bayesian networks (BNs) is an NP-hard problem generally addressed by means of heuristic search algorithms. Although these techniques do not guarantee an optimal result, they allow obtaining good solutions with a relatively low computational effort. Many proposals are based on searching the space of directed acyclic graphs. However, there are alternatives consisting of exploring the space of equivalence classes of BNs, which yields more complex and difficult to implement algorithms, or the space of the orderings among variables. In practice, ordering-based methods allow reaching good results, but, they are costly in terms of computation. In this paper, we prove the correctness of the method used to evaluate each permutation when exploring the space of orderings, and we propose two simple and efficient learning algorithms based on this approach. The first one is a Hill climbing method which uses an improved neighbourhood definition, whereas the second algorithm is its natural extension based on the well-known variable neighbourhood search metaheuristic. The algorithms have been tested over a set of different domains in order to study their behaviour in practice.

关键词： Bayesian methods Space exploration intelligent systems intelligent networks intelligent structures Proposals Laboratories Data mining Informatics Computer networks

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Dependable workflow scheduling in global Grids

Dependable workflow scheduling in global Grids

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International Workshop on Grid computing

作者： Mustafizur Rahman Rajiv Ranjan Rajkumar Buyya Grid Computing and Distributed Systems Laboratory Department of Computer Science and Software Engineering University of Melbourne Australia Service Oriented Computing Research Group School of Computer Science and Engineering University of New South Wales Australia

关键词： Processor scheduling Scheduling algorithm Grid computing Counting circuits Large-scale systems Peer to peer computing Indexing Feedback Heuristic algorithms Performance gain

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