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A Metadata Search Approach with Branch and Bound Algorithm to Keyword Query in Relational Databases

A Metadata Search Approach with Branch and Bound Algorithm t...

引用

International Conference on computer sciences and Convergence Information Technology (ICCIT)

作者： Jarunee Saelee Veera Boonjing Software Systems Engineering Laboratory Department of Computer Science Faculty of Science King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand

Search engines on the Web have popularized the keyword-based search paradigm, while searching in databases users need to know a database schema and a query language. Keyword search techniques on the Web cannot directly be applied to databases because the data on the Internet and database are in different forms. So keyword search systems in relational databases have recently proposed. However existing systems limit type of keywords to database value terms, and generally assumed that answers are in instance level. Thus, this research aims to propose an effective approach for free-form keyword searching in databases which allows users to search either with database value terms, metadata terms or user terms. The metadata model accommodates these terms as well as underlying database semantics. Moreover, we present a branch and bound algorithm used for finding the optimal answer graphs. Our preliminary experiment results confirm precision of our approach.

关键词： Relational databases Keyword search Database languages Internet Motion pictures software systems Data engineering systems engineering and theory Laboratories computer science

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A utility model for peering of multi-provider content delivery services

A utility model for peering of multi-provider content delive...

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Conference on Local computer Networks (LCN)

作者： Mukaddim Pathan Rajkumar Buyya Grid Computing and Distributed Systems GRIDS Laboratory Department of Computer Science and Software Engineering University of Melbourne Parkville VIC Australia

Peering of Content Delivery Networks (CDNs) allow providers to rapidly scale-out to meet both flash crowds and anticipated increases in demand. Recent trends foster the need for a utility model for content delivery services to provide transparency, high availability, reduced investment cost, and improved content delivery performance. Analysis of prior work reveals only a modest progress in evaluating the utility for peering CDNs. In this paper, we introduce a utility model and measure the content-serving ability of the peering CDNs system. Our model assists in providing a customer view of the system's health for different traffic types. Our model also captures the traffic activities in the system and helps to reveal the true propensities of participating CDNs to cooperate in peering. Through extensive simulations we unveil many interesting observations on how the utility of the peering CDNs system is varied for different system parameters and provide incentives for their exploitation in the system design.

关键词： Costs Traffic control Investments Web server computer networks Grid computing Laboratories computer science software engineering Availability

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Retrieving Design Patterns by Case-Based Reasoning and Formal Concept Analysis

Retrieving Design Patterns by Case-Based Reasoning and Forma...

引用

2009 2nd IEEE International Conference on computer science and Information Technology（ICCSIT 2009）

作者： Weenawadee Muangon Sarun Intakosum Software Systems Engineering Laboratory Department of Mathematics and Computer Science Faculty of ScienceKing Mongkut's Institute of Technology LadkrabangBangkokThailand

Design patterns are applied to solve the recurring software design problems,Unfortunately,choosing appropriate design patterns for the specific design problem is considered a difficult task.A search tool is,therefore,needed to supports selection,However,the existing design pattern searching methodologies generally have problems on keywordsearch *** this paper,we proposed an initial model to solve the problem by using Case-Based Reasoning(CBR) and Formal Concept Analysis(FCA).For the proposed model,a case base is created to represent design *** is used to be case organization that analyze case base for obtain knowledge embedded,The knowledge can suggest suitable indexes to use for new *** method is beneficial for learning index,This paper discusses the basis theoretical of representation and retrieval design patterns for this inprogress research,along with some preliminary result.

关键词： Design pattern,Case Based Reasoning,Formal Concept Analysis,Design pattern retrieval,Knowledge representation

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Adaptation of Design Pattern Retrieval Using CBR and FCA

Adaptation of Design Pattern Retrieval Using CBR and FCA

引用

International Conference on computer sciences and Convergence Information Technology (ICCIT)

作者： Weenawadee Muangon Sarun Intakosum Software Systems Engineering Laboratory Department of Mathematics and Computer Science Faculty of Science King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand

ISBN: (纸本)9781424452446

software developers currently find design patterns through search tools for solving software design problem. However, these search tools still have keyword-search problem. In this paper, we introduce the elementary idea to improve the design pattern retrieval tool. We propose the combination of case based reasoning (CBR) and formal concept analysis (FCA). Because of CBR lead to the smart solution and FCA provides flexible way to maintain indexing in the case base.

关键词： software design Information retrieval Mathematics software systems Design engineering systems engineering and theory Laboratories computer science Knowledge representation Lattices

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TinyBee: Mobile-Agent-Based Data Gathering System in Wireless Sensor Networks

TinyBee: Mobile-Agent-Based Data Gathering System in Wireles...

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

作者： Kaoru Ota Mianxiong Dong Xiaolin Li School of Computer Science and Engineering University of Aizu Fukushima Japan Scalable Software Systems Laboratory Computer Science Department Oklahoma State University Stillwater OK USA

This paper proposes a mobile-agent-based data gathering system (called TinyBee) in wireless sensor networks. Most existing mobile-agent-based systems consider only static sinks/servers. In this paper, we consider both mobile servers and lightweight mobile agents. We aim to design a data gathering system using a special kind of mobile agent called TinyBee to collect data all over a network. TinyBee migrates from node to node after being dispatched from a mobile server in order to collect data so that physical movement of mobile servers is greatly reduced. Mobile-agent-based approaches outperform traditional client/server paradigms in terms of execution time and power consumption. Extensive simulation results demonstrate that our proposed schemes achieve significant performance gains.

关键词： Wireless sensor networks Network servers Mobile agents computer networks computer science Energy consumption Routing Sensor systems computer architecture Data engineering

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Using Quality Audits to Assess software Course Projects

Using Quality Audits to Assess Software Course Projects

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Conference on software engineering Education & Training (CSEE&T)

作者： Wilson Pádua Synergia Systems and Software Engineering Laboratory Computer Science Department Federal University of Minas Gerais Belo Horizonte Minas Gerais Brazil

Assessing software engineering course projects should evaluate the achievement of proposed goals, as well as the compliance with mandated standards and processes. This might require the examination of a significant volume of materials, following a consistent, repetitive and effective procedure, even for small projects. Quality assurance must be performed according to similar requirements. This paper discusses the use of quality audits, a comprehensive quality assurance procedure, as a tool for the assessment of course projects.

关键词： software quality Quality assurance Appraisal Automatic testing software engineering Feedback System testing software standards Inspection software testing

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A Heuristic Approach for Capacity Control in Clouds

A Heuristic Approach for Capacity Control in Clouds

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IEEE International Conference on E-Commerce Technology Workshops

作者： Arun Anandasivam Stefan Buschek Rajkumar Buyya Institute for Information Systems and Management University of Karlsruhe Germany Grid Computing and Distributed Systems Laboratory Department of Computer Science and Software Engineering University of Melbourne Australia

ISBN: (纸本)9781424446469;9780769537559

Cloud resource providers in a market face dynamic and unpredictable consumer behavior. The way, how prices are set in a dynamic environment, can influence the demand behavior of price sensitive customers. A cloud resource provider has to decide on how to allocate his scarce resources in order to maximize his profit. The application of bid price control for evaluating incoming service requests is a common approach for capacity control in network revenue management. In this paper we introduce a customized version of the concept of self-adjusting bid prices and apply it to the area of cloud computing. Furthermore, we perform a simulation in order to test the efficiency of the proposed model.

关键词： Resource management Cloud computing Grid computing Consumer behavior Computational modeling Business Distributed computing Control systems Management information systems Conference management

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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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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

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.

关键词： Processor scheduling Grid computing Resource management computer science Scheduling algorithm Laboratories software engineering Distributed computing Application software Peer to peer computing

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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

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.

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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Brain Image Registration Analysis Workflow for fMRI Studies on Global Grids

Brain Image Registration Analysis Workflow for fMRI Studies ...

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International Conference on Advanced Information Networking and Applications (AINA)

作者： Suraj Pandey William Voorsluys Musta?zur Rahman Rajkumar Buyya James Dobson Kenneth Chiu Grid Computing and Distributed Systems (GRIDS) Laboratory Department of Computer Science and Software Engineering University of Melbourne Australia Department of Psychological & Brain Sciences Dartmouth College USA Grid Computing Research Laboratory Department of Computer Science State University of New York Binghamton NY USA

Scientific applications like neuroscience data analysis are usually compute and data-intensive. With the use of globally distributed resources and suitable middlewares, we can achieve much shorter execution time, distribute compute and storage load, and add greater flexibility to the execution of these scientific applications than we could ever achieve in a single compute *** this paper, we present the processing of image registration (IR) for functional magnetic resonance imaging(fMRI) studies on global grids. We characterize the application, list its requirements and transform it to a workflow. We then execute the application on Gridpsila5000 platform and present extensive performance results. We show that the IR application can have 1) significantly improved makespan, 2) distribution of compute and storage load among resources used, and 3) flexibility when executing multiple times on global Grids.

关键词： Brain Image registration Image analysis Distributed computing Grid computing Optical computing Image storage Neuroscience Data analysis Middleware

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