SOA-based RFID public services infrastructure:architecture and its core services

Radio frequency identification （RFID） has prominent advantages compared with other autoidentification technologies. Combining RFID with network technology, physical object tracking and information sharing can possibly be carried out in an innovative way. Regarding open-loop RFID applications, RFID public services infrastructure （PSI） is presented, PSI architecture is designed, and service modules are implemented, and a demonstrative application system, blood management and traceability system, is studied to verify PSI. Experimental results show the feasibility of the proposed architecture and the usability of PSI framework software.

一种基于SOA的自律计算模型与实现方法

通过引入面向服务架构技术,提出一种面向服务的自律计算模型,对自律计算环境的架构和自律单元的设计进行了详细论述,并对计算模型的关键问题——服务装载过程做出改进,解决了服务引用、行为不一致性的问题。实验结果表明,提出的模型使Web服务器节省了平均事务响应时间,提高了平均吞吐量,改进的服务装载过程能增加约10个百分点的服务通过率。服务质量得到有效提高。

World-Wide Semantic Web of Agriculture Knowledge

The rapid increase in the publication of knowledge bases as linked open data （LOD） warrants serious consideration from all concerned, as this phenomenon will potentially scale exponentially. This paper will briefly describe the evolution of the LOD, the emerging world-wide semantic web （WWSW）, and explore the scalability and performance features Of the service oriented architecture that forms the foundation of the semantic technology platform developed at MIMOS Bhd., for addressing the challenges posed by the intelligent future internet. This paper＂ concludes with a review of the current status of the agriculture linked open data.

Computational Analysis of Performance for Heterogeneous Integrated System with Test Automation

Heterogeneity is inevitable in enterprises due to their various input requirements. The usage of proprietary integration products results in the increased cost of enterprises. During the integration, the focus area has been found to often address only the functional requirements, while the non-functional requirements are side-stepped during the initial stages of a project. Moreover, the use of proprietary integration products and non-standards-based integration platform has given rise to an inflexible integration infrastructure resulting in adaptability concerns. Web services-based integration, based on open standards, is deemed to be the only feasible solution in such cases. This paper explains the performance analysis of enterprise integration in heterogeneous environments for the distributed and the transactional applications. The analysis presented in this paper is seen as a step towards making intelligent decisions well in advance when choosing the integration mechanism/products to address the functional as well as the non-functional requirements considering the future integration needs.

Support for Dynamic Service Composition with Role-Based Interaction Model

This paper aims to present a role-based interaction model for dynamic service composition in Grid environments. Assigning roles to a service means to associate with it capabilities that describes all the operations the service intends to perform. When all of the services can be recognized by their roles, the appropriate services can be selected. Based on the interaction policy, a role-based interaction model not only facilitates access control, but also offers flexible interaction mechanism for adapting service-oriented applications. This interaction model adopts programmable reactive tuple space to facilitate context-dependent coordination.

Tele-COVID: A Telemedicine SOA-Based Architectural Design for COVID-19 Patients

In Wuhan,China,a novel Corona Virus(COVID-19)was detected in December 2019;it has changed the entire world and to date,the number of diagnosed cases is 38,756,2891 and 1,095,2161 people have died.This happened because a large number of people got affected and there is a lack of hospitals for COVID-19 patients.One of the precautionary measures for COVID-19 patients is isolation.To support this,there is an urgent need for a platform that makes treatment possible from a distance.Telemedicine systems have been drastically increasing in number and size over recent years.This increasing number intensies the extensive need for telemedicine for the national healthcare system.In this paper,we present Tele-COVID which is a telemedicine application to treat COVID-19 patients from a distance.Tele-COVID is uniquely designed and implemented in Service-Oriented Architecture(SOA)to avoid the problem of interoperability,vendor lock-in,and data interchange.With the help of Tele-COVID,the treatment of patients at a distance is possible without the need for them to visit hospitals;in case of emergency,necessary services can also be provided.

IGS polar motion measurement accuracy

We elaborate an error budget for the long-term accuracy of IGS（International Global Navigation Satellite System Service） polar motion estimates, concluding that it is probably about 25-30 μas（1-sigma）overall, although it is not possible to quantify possible contributions（mainly annual） that might transfer directly from aliases of subdaily rotational tide errors. The leading sources are biases arising from the need to align daily, observed terrestrial frames, within which the pole coordinates are expressed and which are continuously deforming, to the secular, linear international reference frame. Such biases are largest over spans longer than about a year. Thanks to the very large number of IGS tracking stations, the formal covariance errors are much smaller,around 5 to 10 μas. Large networks also permit the systematic frame-related errors to be more effectively minimized but not eliminated. A number of periodic errors probably also influence polar motion results, mainly at annual, GPS（Global Positioning System） draconitic, and fortnightly periods, but their impact on the overall error budget is unlikely to be significant except possibly for annual tidal aliases. Nevertheless, caution should be exercised in interpreting geophysical excitations near any of the suspect periods.

Performance Aware Service Pool in Dependable Service Oriented Architecture

As a popular approach to dependable service oriented architecture （SOA）, a service pool collects a set of services that provide the same functionality by different service providers for achieving desired reliability. However, if the tradeoff between reliability and other important qualities, e.g., performance, has to be considered, the construction and management of a service pool become much more complex. In this paper, an automated approach to this problem is presented. Based on the investigation of service pools in the typical triangle SOA model, two challenges critical to the effectiveness and efficiency of service pools are identified, including which services should be held by a pool and what order these services are invoked in. A set of algorithms are designed to address the two challenges and then a service pool can be automatically constructed and managed for given reliability and performance requirements in polynomial time. The approach is demonstrated on a J2EE based service platform and the comparison results between different pooling algorithms are evaluated.

VARIABILITY MODELING TO DEVELOP FLEXIBLE SERVICE-ORIENTED APPLICATIONS

To cope with requirement changes flexibly and rapidly,the existing component-based paradigm is being evolved into a service-oriented computing paradigm.The main characteristic of the service-oriented computing paradigm is that service-oriented applications are developed as loosely coupled services that reflect business concerns.This paradigm also promotes business agility,facilitating quick reactions to business changes.Therefore,to enhance and support the benefits of the service-oriented computing paradigm,we must consider how to improve flexibility and reusability during the development of service-oriented applications.We propose the variability modeling approach to specify and control the common and distinguishing characteristics of service-oriented applications.That is,the key concepts of product-line technology can be used to make service-oriented applications more flexible and reusable.This paper describes variability modeling at two levels;the composition level and the specification level.At the composition level,we describe the variability of composition and the flow of domain services that fulfill business processes.At the specification level,we present a domain service that is an abstract service with variability.The use of our systematic variability modeling approach can greatly increase the flexibility,applicability,and reusability of service-oriented applications.

GEOID: GRID Services for Earth Observation Image Data Processing

Recent developments in space technology and exponential increase in demand of earth observation data from space have generated a requirement of a data processing environment,where users can discover the data and process,based on their requirements.Grid Services for Earth Observation Image Data Processing(GEOID)is proposed with a motivation to cater to future earth observation applications requirements of digital earth.This paper discusses the overview of the GEOID architecture,its deployment scenario,use-cases and simulation results.Core technologies used for implementation include Grid computing and Service Oriented Architecture.GEOID provides capability to address require-ments of applications such as real-time monitoring,time series data processing and processing with user required quality to meet the requirements of end user applications.GEOID allows users to access the archive products or the raw satellite data stream and process their area of interest.Simulations show that applications such as time series analysis show considerable improvement in processing time by using GEOID.

A web-based, component-oriented application for spatial modelling of habitat suitability of mosquito vectors

This paper proposes a web-enabled computational environment for the spatial modelling of habitat suitability of mosquito vectors.Under a component-based architecture and implemented using an object-oriented data model,we integrate database interfaces,Web feature services(WFS)based on the open GIS consortium(OGC)protocols,and the data-mining tool WEKA,coupled through Java servlet scripts(JSP).The prototype,based exclusively on freely available libraries and software components,provides basic dynamic spatial simulation capabilities using logistic regression to end-users engaged in local and regional health administration and planning but who lack access to specific software and/or detailed knowledge of spatial modelling techniques.The component-based approach facilitates system maintenance and future expansion of functionality,and guarantees the reusability of developed modules in new spatial modelling applications of health and environmental-related phenomena.Functionality of the WWW-application was validated in a study of habitat suitability mapping of the Malaria vector Anopheles darlingi,in an area surrounding the Manso River hydropower plant,Central Brazil.

Research on Service-oriented Knowledge Management Model of Multi-campus College and University

Knowledge management theory is increasingly attracting the attention of colleges and universities, and has become a new perspective to the reform of college management. With the development of education informa tionization, the service orientation will become the main direction in knowledge management. On the fact of many campuses in colleges and universities, this paper presents model based on serviceoriented idea and grid technology, campus university knowledge management. a university knowledge management system framework and discusses the processes of serviceoriented multi

Event-driven flood management:design and computational modules

Flood management is a set of activities that have to be carried out in collaboration with multiple agencies.Advanced flood information with early warning generated using remote sensing satellite technologies can help the agencies to effectively manage the situation on ground.Various environmental parameters and forecasts provided by different agencies can be analyzed and compared with historical flood events for generating probable flood event alerts.The information(environmental parameters)provided by the agencies are heterogeneous and noncompliant to standards and distributed in nature.Synchronization of data from distributed resources and automation of data analysis process for flood management is a primary prerequisite for faster and efficient decision-making.Web 2.0-based web services enable data creation,sharing,communication,and collaboration on web.Spatial data sharing on web 2.0 for making quality of service using open-source software for efficient flood management is a challenge.Available software architectures proposed for risk and environmental crisis management are too generic in nature and needs lot of modification for flood management.An event-driven model coupled with data standardization procedures using service-oriented architecture provides an effective framework for flood management.In this paper,a framework capable of collecting heterogeneous distributed flood-related information for analyzing and alerting probable flood events is proposed.The framework has been implemented to generate automatic flood extent maps,by analyzing the distributed satellite data(as service).The automation of flood delineation process reduces the overall flood product generation time.Open-source web tools have been utilized in development of spatial information system to visualize and analyze the actual situation on ground facilitating overall decision-making process.

A UTP semantic model for Orc language with execution status and fault handling

The Orc language is a concurrency calculus pro- posed to study the orchestration patterns in service oriented computing. Its special features, such as high concurrency and asynchronism make it a brilliant subject for studying web applications that rely on web services. The conventional se- mantics for Orc does not contain the execution status of ser- vices so that a program cannot determine whether a service has terminated normally or halted with a failure after it pub- lished some results. It means that this kind of failure cannot be captured by the fault handler. Furthermore, such a seman- tic model cannot establish an order saying that a program is better if it fails less often. This paper employs UTP methods to propose a denotational semantic model for Orc that con- rains execution status information. A failure handling seman- tics is defined to recover a failure execution back to normal. A refinement order is defined to compare two systems based on their execution failures. Based on this order, a system that introduces a failure recovery mechanism is considered bet- ter than one without. An extended operational semantics is also proposed and proven to be equivalent to the denotational semantics.