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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...

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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

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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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Real-time implementation of an intelligent algorithm for electric ship power system reconfiguration

Real-time implementation of an intelligent algorithm for ele...

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IEEE Electric Ship Technologies Symposium, ESTS

作者： Pinaki Mitra Ganesh K. Venayagamoorthy Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering Missouri University of Science and Technology Rolla Missouri USA

The naval electric ship is often subject to severe damages under battle conditions. The damages or faults might even affect the generators and as a result, critical loads might suffer from power deficiency which may lead to an eventual collapse of rest of the system. In order to serve the critical loads and maintain a proper power balance without excessive generation, the ship power system requires a fast reconfiguration of the remaining system under fault conditions. A fast intelligent algorithm using the small population based particle swarm optimization (SPPSO) for dynamic reconfiguration of the available generators and loads when a fault in the ship power system is detected is presented in this paper. SPPSO is a variant of PSO which operates with fewer particles and a regeneration concept, where new potential solutions are generated every few iterations. This concept of regeneration makes the algorithm fast and enhances its exploration capability to a large extent. The strength of the proposed reconfiguration strategy is first illustrated with Matlab results and then with a real-time implementation on a real time digital simulator and a digital signal processor.

关键词： Real time systems Marine vehicles Power systems Signal processing algorithms Power system faults Power generation Power system dynamics Particle swarm optimization Electrical fault detection Fault detection

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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 new representation method of head images for head pose estimation

A new representation method of head images for head pose est...

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IEEE International Conference on Image Processing

作者： Xiangyang Liu Hongtao Lu Heng Luo MOE-Microsoft Laboratory of Intelligent Computing and Intelligent Systems Department of Computer Science and Engineering Shanghai Jiaotong University Shanghai China College of Science Hohai University HHU Nanjing China

In this paper, a discriminative representation method of head images is proposed, which is based on parts and poses for identity-independent head pose estimation. Head images are preprocessed to enhance the facial features and eliminate the identity information by skin color model and Laplacian of Gaussian transform. Then, the preprocessed images are used to construct a eigenpose subspace by a matrix factorization method. The testing head images are represented as the projections of the eigenpose subspace in which we can easily find the decision function for head pose estimation. The proposed representation method evaluated on the standard head pose database and real-time videos achieves higher pose estimation accuracy than other methods.

关键词： Head Principal component analysis Facial features Skin Image representation Laplace equations Testing Pattern classification Pattern matching Pattern recognition

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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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Computational intelligence approach to load forecasting - a practical application for the desert of Saudi Arabia

Computational intelligence approach to load forecasting - a ...

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International Conference on computer and Information Technology (ICCIT)

作者： Suman Ahmmed Dewan Md. Fayzur Rahman Md. Khairul Hasan Ahmed Yousuf Saber Mohammad Zahidur Rahman Department of Computer Science and Engineering United International University Dhaka Bangladesh Department of Computer Science and Engineering Ahsanullah University of Science and Technology Bangladesh Real-Time Power and Intelligent Systems Laboratory Missouri University of Science and Technology USA Department of Computer Science and Engineering Jahangir Nagar University Dhaka Bangladesh

This paper presents the development of an Artificial Neural Networks and Particle Swarm Optimization (ANN-PSO) based short-term load forecasting model with improved generalization technique for the Regional Power Control Center of Saudi Electricity Company, Western Operation Area (SEC-WOA). Weather, load demand, wind speed, wind direction, heat, sunlight, etc. are quite different in a desert land than other places. Thus this model is different from a typical forecasting model considering inputs and outputs. In this research paper two steps have been introduced, first load forecasting made by mapping mechanism and then optimization technique applied to improve its accuracy. This paper includes ANN and PSO models for 24-hours ahead load forecasting. ANN is an effective mathematical tool for mapping complex relationships. It is also successful for doing forecasting, categorization, classification, and so forth. On the other hand, PSO is the most promising optimization tool. It has better information sharing and conveying mechanism; it has better balance of local and global searching abilities; and can handle huge multi-dimensional optimization problems efficiently with hundreds of thousands of constraints. Thus PSO is chosen as the optimization model of the weight matrix of ANN. Results show that the proposed ANN-PSO performs much better than ANN for the load forecasting in a desert like Saudi Arabia.

关键词： Computational intelligence Load forecasting Artificial neural networks Predictive models Weather forecasting Wind speed Particle swarm optimization Load modeling Power control Solar heating

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H∞ Filtering for Neutral Stochastic systems with Time-Varying Delays

H∞ Filtering for Neutral Stochastic Systems with Time-Varyi...

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Joint 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference

作者： Lin Li Yingmin Jia Junping Du Hideki Kokame the Department of Systems and Control Beihang University (BUAA) the Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and TechnologyBeijing University of Posts and Telecommunications the College of Engineering Osaka Prefecture University

This paper is devoted to the problem of H filtering for a class of neutral stochastic systems with both discrete and distributed time-varying *** objective is to design a full order filter such that the resulting filtering error system is stochastically asymptotically stable with a prescribed H∞performance *** on the stability theory of stochastic systems,a delay-dependent and rate-dependent sufficient condition for the existence of filter is obtained in terms of linear matrix inequalities（LMIs）.The corresponding filter design method is also proposed,while the explicit expression for the desired filter is given.A numerical example is finally included to illustrate the effectiveness of the proposed method.

关键词： Filtering for Neutral Stochastic systems with Time-Varying Delays filter

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