Dugki Min

Content-Based Intelligent Routing and Message Processing in Enterprise Service Bus

Enterprise service bus (ESB) provides a layer on top of an implementation of an enterprise messaging system. The ESB provides a highly distributed, event-driven service oriented architecture (SOA) that combines message oriented middleware (MOM), Web services, intelligent routing based on content, and XML data transformation. ESB transmits and receives standard set of messages. When it receives a message, it routes it to the appropriate application. Content-based intelligent routing supports service selection and composition. However, current ESB software can only support fixed routing by static configuration files. This paper proposes framework to enable the content-based intelligent routing path construction and message routing. In proposed framework there are 3 main layers: business process, ESB and implementation layer to define the routing tables and mechanisms of message routings, to support service selection preferences and facilitate the service selection based on message content.

A QoS model and testing mechanism for quality-driven Web services selection

With the proliferation of Web services, quality of service (QoS) becomes a key factor to differentiate the Web services and their providers. In selecting a Web service for use, it is important to consider nonfunctional properties of the Web service so as to satisfy the constraints or requirements of users. In this paper, we present a Web services QoS model which takes non-functional properties into account in various aspects. In this model, Web services qualities are classified into three categories according to the point of view - system-level view, service-level view, and business-level view. We also provide a quality testing mechanism that tests the manageability qualities of our QoS Model

Conceptual Modeling of Enterprise Application System Using Social Networking and Web 2.0 Social CRM System

Information technology is moving towards the next generation and is attaining a new paradigm shift with the development of new technologies and its impact towards application development are inevitable. In particular, the focus on Web services (Web 2.0) are increasing and currently it is been considered as a platform rather than service, due to its capability of data integration and working jointly with other applications. This has helped the enterprise to have new dimension to their application development. Similarly, social networking is playing a crucial role and it provides organizations with the critical data to build strong relationships with their customers and partners. In this paper, we have proposed the conceptual model of social CRM system, combining the features of Web 2.0 and social networking with the current CRM system. This will certainly provide a new direction and currently organizations have started towards this direction.

A load balancing algorithm for a distributed multimedia game server architecture

Network game servers, in which a huge number of users can play a common game through interconnecting network, can be designed in a distributed system architecture with the benefit of scalability, reliability, and cost effectiveness. In order to develop an efficient and scalable network game server system, the paper investigates the issue of load balancing for dynamic change of workload in a network game. We propose a dynamic load balancing algorithm for network games which takes into account the geographical relationship among game units and the short response time of frequent user interactions. We also present simulation results of the proposed algorithm.

Design and implementation of Web services QoS broker

Quality of service is one of the most important factors for users choice of Web service. However, current Web service environments do not offer any information on QoS of Web services. We design and develop a Web service QoS broker system which actively monitors QoS of Web services. With this information a user can select a Web service best suited for his/her needs. Availability, performance, and reliability were the metrics used for QoS monitoring.

Performance comparison of various web cluster architectures

This paper investigates system attributes and the corresponding performances of three Web cluster architectures, which have different traffic managers: the Alteon Web switch, the ALBM Traffic Manager, and a Linux Virtual Server. The Alteon Web switch is a hardware solution and the others provide software solutions to traffic managers that control incoming traffic in web clusters. In order to compare performances of these Web cluster architectures, we perform a set of experiments with various load scheduling algorithms by using a number of classified workloads. The experimental results compare the peak performances of the Web clusters and show the effects of workload types and load scheduling algorithms on performance trends.

An analysis of performance factors on Esper-based stream big data processing in a virtualized environment

To process big data in a cloud computing environment, a large scale of stream big data is one of the challenging issues. In particular, complex event processing is an emerging technology to handle massive events from multiple sources and process them in a near real time. In this paper, we analyze four performance-influencing factors on a virtualized event processing system: the number of query statements, garbage collection intervals, the quantity of virtual machine resources, and virtual CPU assignment types. In our experiments, we observe the performance effects of these performance parameters, by implementing and running an Esper-based event processing application on top of a Xen-based virtualized system. With experimental results, we analyze the memory consumption problem, and apply periodic garbage collection, to reduce unexpected memory consumption of JVM. Also, we analyze performance effects of the number of cores in a virtual machine VM and resource sharing among VMs. Under the virtualized environment in cloud computing infrastructure, one of the critical issues is the management of virtualized computing resources. Accordingly, we present the event processing performance on VMs as a function of virtual CPU assignment types and the number of VMs that share virtual CPUs. Copyright

Design of a Contract-Based Web Services QoS Management System

A QoS (Quality of Service) contract is an agreement between the web service provider and the web service user that specifies the level of service quality. Web service users can be assured of the level of the service quality specified by the QoS contract. A quality management system is used to enforce QoS contracts.The QoS management system supports various management functions such as the creation and deployment of the QoS contract, registration of web services, conformance monitoring to see if the service quality provided conforms to the contract, and notification of contract violation. We propose a QoS management system architecture for the contract-based web service in this work. Under this architecture, the management system utilizes agents to monitor the web services quality and manages the service quality by notifying the service provider and user of the service contract violation. Furthermore web service users can see QoS information by contacting the QoS server of the system.

An Energy-Efficient Data Dissemination protocol for Grid-Based Wireless Sensor Networks

In this paper, we present an energy-efficient data dissemination protocol (EEDD) for wireless sensor networks with mobile sinks. This protocol considers energy-efficient consumption and network lifetime especially to sensor networks with high node density. The protocol is based on grid structure and location aware flooding of sensor networks to gain effective data dissemination between sources and mobile sinks. Our analysis shows that EEDD consumes less energy and has a longer network lifetime compared with other approaches.

A New Approach for Mammogram Image Classification Using Fractal Properties

Abstract Accurate classification of images is essential for the analysis of mammograms in computer aided diagnosis of breast cancer. We propose a new approach to classify mammogram images based on fractal features. Given a mammogram image, we first eliminate all the artifacts and extract the salient features such as Fractal Dimension (FD) and Fractal Signature (FS). These features provide good descriptive values of the region. Second, a trainable multilayer feed forward neural network has been designed for the classification purposes and we compared the classification test results with K-Means. The result reveals that the proposed approach can classify with a good performance rate of 98%.