In the early development stages of distributed software systems, assessing performance and corresponding prediction techniques remains an important but largely unsolved problem. In the distributed environment, the wor...
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In the early development stages of distributed software systems, assessing performance and corresponding prediction techniques remains an important but largely unsolved problem. In the distributed environment, the workload and the deployment environment of the software components have major impact on the performance and they are uncertain. The problem of uncertainty regarding performance requirement data is required to be addressed by estimation techniques. Hence, in this paper we present a mathematical model for performance calculation and simulate the model that supports a decision maker involved in performance analysis for a given distributed application. We analyse the execution environment by considering various configurations of hardware resources based on dynamic workload over a time horizon. The methodology is demonstrated through a case study and the results are validated. Results show that the proposed methodology is useful in identifying suitable execution environment corresponding to the defined performance goal. The bottleneck resources are identified and suggestions for improvement are given.
In the literature, research efforts are going on to extract interesting information from text documents to improve the performance of information-based services. Interesting information is extracted after identifying ...
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In the literature, research efforts are going on to extract interesting information from text documents to improve the performance of information-based services. Interesting information is extracted after identifying features from each document. In this paper, we have proposed the notion of 'special feature' which is a new kind of knowledge that can be used to improve the performance of information-based services. A feature is a special feature if only very few documents in the dataset possess it. Given a text document dataset, we have proposed a methodology to extract special features. By using the notion of special features, we have also proposed frameworks to improve the performance of product selection in the e-commerce environment and the process of resume selection. The experiment results on real datasets show that it is possible to improve the efficiency of the applications with the proposed approach.
There is an increasing recognition in the society that interdisciplinary challenges must be part of new educational practices. In this paper, we describe the key curriculum activities at the University of Southern Den...
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There is an increasing recognition in the society that interdisciplinary challenges must be part of new educational practices. In this paper, we describe the key curriculum activities at the University of Southern Denmark that combine mathematical modelling, software engineering, and user-centred design courses. These three disciplines represent a core of our graduate program, aiming at educating the professionals that will be capable of not only using but also further developing new technologies, and therefore, will be capable of fostering further the progress in computational science and engineering. Finally, we show how the learning environment, with emphases on broadening the student experience by industrial links, affects the student career aspiration. (C) 2003 Elsevier B.V. All rights reserved.
High performance computers have played key roles in many scientific and engineering advances over the past 40 years, and many more may be expected in the future. However, unless practical parallel systems can be produ...
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High performance computers have played key roles in many scientific and engineering advances over the past 40 years, and many more may be expected in the future. However, unless practical parallel systems can be produced in this decade, a performance crisis will arise by 2000 across the spectrum of systems from workstations to supercomputers. There is widespread confusion today about how best to proceed with future parallel systems because so many different approaches have been taken and the performance results have been so spotty. A fundamental flaw in our approach to parallel computing, as a nation, is the poor understanding we have obtained about delivered performance. This paper analyzes the situation and suggests fundamental changes that are necessary to achieve practical parallelism in this decade. A great deal of money is now being spent and more is planned, to advance the field, but money is not so much the problem as shortages of qualified people and a sharp focus for their work. Our national goals for the end of this decade must be the creation of an infrastructure for understanding performance, and its natural consequence, the development of practical parallel systems.
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