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International Conference on Dependable systems and Networks (DSN)

作者： Yinglung Liang Yanyong Zhang A. Sivasubramaniam M. Jette R. Sahoo Electrical & Computer Engineering Department Rutgers University USA Computational Resource Management Group Lawrence Livemore National Laboratory USA Computer Science & Engineering Department Pennslyvania State University USA Exploratory Systems Software Department IBM Thomas J. Watson Research Center USA

The growing computational and storage needs of several scientific applications mandate the deployment of extreme-scale parallel machines, such as IBM's BlueGene/L which can accommodate as many as 128 K processors. One of the challenges when designing and deploying these systems in a production setting is the need to take failure occurrences, whether it be in the hardware or in the software, into account. Earlier work has shown that conventional runtime fault-tolerant techniques such as periodic checkpointing are not effective to the emerging systems. Instead, the ability to predict failure occurrences can help develop more effective checkpointing strategies. Failure prediction has long been regarded as a challenging research problem, mainly due to the lack of realistic failure data from actual production systems. In this study, we have collected RAS event logs from BlueGene/L over a period of more than 100 days. We have investigated the characteristics of fatal failure events, as well as the correlation between fatal events and non-fatal events. Based on the observations, we have developed three simple yet effective failure prediction methods, which can predict around 80% of the memory and network failures, and 47% of the application I/O failures

关键词： Failure analysis Predictive models Production systems Checkpointing Concurrent computing Parallel machines Hardware Runtime Fault tolerant systems Prediction methods

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Effectiveness of an integrated CASE tool for productivity and quality of software developments

Effectiveness of an integrated CASE tool for productivity an...

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作者： Tsuda, Michio Ishikawa, Sadahiro Ohno, Osamu Harada, Akira Takahashi, Mayumi Kusumoto, Shinji Inoue, Katsuro Graduate School of Information Science and Technology Osaka University Japan Hitachi Systems and Services Ltd. Japan Hitachi Ltd. Japan Software Engineering Department Hitachi Systems and Services Ltd. Japan IPSJ Japan Engineering Support Division Hitachi. Ltd. Japan Information Technology Division Hitachi Ltd. Japan Japan Information Processing Service CO. Ltd. Japan SPM Osaka University Japan IEEE IEEE Computer Society JFPUG ACM

This is commonly thought that CASE tools reduce programming efforts and increase development productivity. However, no paper has provide quantitative data supporting the matter. This paper discusses productivity improvement through the use of an integrated CASE tool system named EAGLE (Effective Approach to Achieving High Level software Productivity), as shown by various data collected in Hitachi from the 1980s to the 2000s. We have evaluated productivity by using three metrics, 1) program generation rate using reusable program skeletons and components, 2) fault density at two test phase, and 3) learning curve for the education of inexperienced programmers. We will show that productivity has been improved by the various facilities of EAGLE. Copyright © 2006 The Institute of Electronics, Information and Communication Engineers.

关键词： computer aided software engineering

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An Iris Recognition Method Based On Zigzag Collarette Area and Asymmetrical Support Vector Machines

An Iris Recognition Method Based On Zigzag Collarette Area a...

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IEEE International Conference on systems, Man and Cybernetics

作者： Kaushik Roy Prabir Bhattacharya Computer Science & Software Engineering Department Concordia University Montreal QUE Canada Concordia Institute for Information Systems Engineering Concordia University Montreal QUE Canada Canada Research Chair Tier I Canada

We propose an improved iris recognition method for person identification using an iris segmentation approach based on chain code and zigzag collarette area with support vector machine (SVM). The zigzag collarette area is selected as a personal identification pattern which captures only the most important areas of iris complex pattern and better recognition accuracy is achieved. The idea to use the zigzag collarette area is that it is insensitive to the pupil dilation and usually not affected by eyelids or eyelashes. The deterministic feature sequence is extracted from iris images using Gabor wavelet technique and used to train SVM as iris classifiers. The traditional SVM is modified as asymmetrical SVM to treat False Accept and False Reject differently to satisfy several security requirements. The parameters of SVM are tuned to improve overall system performance. Our experimental results also indicate that the performance of SVM as a classifier is far better than the performance of backpropagation neural network (BPNN), K-nearest neighbor (KNN), Hamming and Mahalanobis distance. The proposed innovative technique is computationally effective as well as reliable in term of recognition rate of 99.56%.

关键词： Iris recognition Support vector machines Support vector machine classification Pattern recognition Eyelids Eyelashes Feature extraction System performance Backpropagation Neural networks

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A Model for Interoperability in computer Supported Collaborative Learning

A Model for Interoperability in Computer Supported Collabora...

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International Conference on Advanced Learning Technologies (ICALT)

作者： G. Kahrimanis A. Papasalouros N. Avouris S. Retalis Human-Computer Interaction Group ECE Department University of Patras Greece Software Engineering Lab National and Technical University of Athens Greece Department of Technology Education and Digital Systems University of Piraeus Greece

computer supported collaborative learning activities involve combination of complex software tools that often need to interoperate in a wider context of learning. This paper proposes a data model that accommodates requirements of typical collaborative learning situations and facilitates interoperability of tools and interchange of products of collaboration and evaluation data. The model has been tested against various typical tools used for both synchronous and asynchronous collaboration of groups of students

关键词： Collaborative work Collaborative tools Data models Pervasive computing software engineering Educational technology computer science education systems engineering education Digital systems software tools

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Decision resource coordinate scheduling based on grid workflow

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WSEAS Transactions on computers 2006年第6期5卷 1227-1235页

作者： Hu, Mingsheng Zhang, Jianjun Chen, Xueguang Institute of Systems Engineering Huazhong University of Science and Technology Wuhan 430074 China Institute of Software Science Zhengzhou Teachers College Zhengzhou 450044 China Department of Computer Science Xuchang College Xuchang 461000 China

Taking advantage of the Grid workflow, scientists and engineers are building more and more complex decision support applications to process large data sets, and coordinate scheduling distributed decision resources. Such decision resource scheduling processes require means for composing and executing complex workflows. Therefore, many efforts have been made towards the development of workflow scheduling systems for decision resource coordinate scheduling on Grid environment. In this paper, we investigates the emerging need for Grid workflow to aid decision support on the Grid and proposes a Grid workflow for decision resource scheduling that is a Petri net-based graph model and incorporates a reasoning system designed to perform such a task. It effectively hides the heterogeneity of decision resources with good intelligence, scalability and adaptability.

关键词： Decision support systems

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An ontological infrastructure for traveller information systems

An ontological infrastructure for traveller information syst...

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International Conference on Intelligent Transportation

作者： J.J. Samper V.R. Tomas J.J. Martinez L. van den Berg Computer Sciences Department University of Valencia Spain Software engineering and consulting the Intelligent Transportation Systems (ITS) University of Jaume Spain ITS-architectures and traffic enforcement University of Valencia Spain

Nowadays there are vocabularies or languages able to describe concepts and data structures related to road traffic. Nevertheless, this description provides only a syntactic approach and it forgot the semantic knowledge. There not exist vocabularies or ontologies with semantic value that add significance to the vocabulary concepts and their relations. The objective to be reached of this paper is to present the research developed to build a representation scheme of a particular domain: the road traffic, with a well defined semantics. The inclusion of this semantic allows to obtain a formalized knowledge model. This model enables the development of an integrated architecture of traffic information from semantic Web services. The ontologies created in this work are used to describe and add semantic value to the current parameters of the traffic services

关键词： Ontologies Information systems Intelligent transportation systems Vocabulary Traffic control Telecommunication traffic Roads computer science software engineering Application software

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Integrating timed automata into tabu algorithm for HW-SW partitioning

Integrating timed automata into tabu algorithm for HW-SW par...

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IEEE International Conference on engineering of Complex computer systems

作者： Geguang Pu Zhang Chong Zongyan Qiu Jifeng He Wang Yi Software Engineering Institute East China Jiao Tong University Shanghai China LMAM and Department of Informatics School of Mathematical Sciences Peking University Beijing China Department of Computer Systems University of Uppsala Sweden

Hardware/software (HW-SW) partitioning is a key problem in codesign of embedded systems, studied extensively in the past. This paper describes a new approach to hardware/software partitioning for synchronous model. We formalize the partitioning problem using timed automata, which captures the key elements of the partitioning. Then the tabu algorithm is applied to timed automata model to search for the solution efficiently. An industrial experiment is conducted to show our approach can handle large applications with hundreds of nodes in task graph effectively

关键词： Automata Partitioning algorithms Hardware Application software Cost function software quality Heuristic algorithms software engineering Informatics Embedded computing

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Economy-Based Data Replication Broker

Economy-Based Data Replication Broker

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IEEE International Conference on e-Science and Grid Computing

作者： Henry Lin J.H. Abawajy Rajkumar Buyya Grid Computing and Distributed Systems Laboratory Department of Computer Science and Software Engineering University of Melbourne Melbourne VIC Australia Grid and Pervasive Computing Laboratory School of Engineering and Information Technology Deakin University Geelong VIC Australia

ISBN: (纸本)9781424430116

Data replication is one of the key components in data grid architecture as it enhances data access and reliability and minimises the cost of data transmission. In this paper, we address the problem of reducing the overheads of the replication mechanisms that drive the data management components of a data grid. We propose an approach that extends the resource broker with policies that factor in user quality of service as well as service costs when replicating and transferring data. A realistic model of the data grid was created to simulate and explore the performance of the proposed policy. The policy displayed an effective means of improving the performance of the grid network traffic and is indicated by the improvement of speed and cost of transfers by brokers.

关键词： Resource management Australia Telecommunication traffic Power generation economics Cost accounting Protocols Grid computing Pervasive computing computer science software

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4.4.1 Fine-grained Method and Tool Integration for better Automotive software

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INCOSE International Symposium 2006年第1期16卷 606-620页

作者： Altheide, Frank Buhr, Kerstin Doerr, Heiko University of Paderborn Workgroup Database and Information Systems Germany Technical University of Berlin Institute for Software Engineering and Theoretical Computer Science Germany DaimlerChrysler AG Research & Technology Department Methods & Tools Germany

In the automotive field, software development methods and tools are used to cope with the high complexity of automotive software development. However, problems occur with the tracing of information, the assessment and monitoring of the development status, late and thus expensive changes, etc, which lead to increasing development costs and time as well as quality deficits. Our experience with recent projects have shown that the key to solving these problems lies in providing proper answers to the following questions: (1) How can development methods be assembled? (2) How can the use of a variety of development methods be supported by an appropriate tool?. To answer these questions, we introduce a tool integration approach that is strongly based on the integration of development methods. The contribution of this paper is (a) a method integration approach that considers finegrained method objects and their specific structure in addition to the usually considered artifacts, (b) an approach to tool integration that overcomes the deficits of heterogeneous tool environments and utilizes the results of the methodical understanding. © 2006 The Authors.

关键词： Integration

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Prediction Strategies for Proactive Management in Dynamic Distributed systems

Prediction Strategies for Proactive Management in Dynamic Di...

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International Conference on Digital Telecommunications (ICDT)

作者： Jianguo Ding Xiaoyong Li Ningkang Jiang B.J. Kramer F. Davoli Software Engineering Institute East China Jiao Tong University Shanghai China School of Information Security Engineering Shanghai Jiaotong University Shanghai China Department of Electrical Engineering and Information Engineering Fern Universität Hagen Germany Department of Communications Computer and Systems Science DIST University of Genoa Genoa Italy

In real-life distributed systems, dynamic changes are unavoidable properties because of the degeneration or improvement in system performance. Hence to understand the dynamic changes and to "catch the trend" of the changes in distributed systems will be very important for distributed systems management. In order to model the dynamic changes in distributed systems, temporal extensions of Bayesian networks are employed to address the temporal factors and to model the dynamic changes of managed entities and the dependencies between them. Furthermore, the prediction capabilities are investigated by means of the relevant inference techniques when the imprecise and dynamic management information occurs in the distributed system

关键词： Bayesian methods Information management Degradation software engineering Information security Distributed computing System performance Condition monitoring Fault location Fault diagnosis

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