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.

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.

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.

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.

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.

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.