Service Oriented Architecture Framework Research Articles

Thermal Management System of the UNICARagil Vehicles—A Comprehensive Overview

The collaboration project UNICARagil aiming to develop new autonomous battery electric vehicle concepts has progressed and the four vehicle prototypes have been built up. All seven universities and six industrial partners have worked towards this milestone. At the time of writing the four vehicles are operational and can be driven by a safety driver using a sidestick. The automated driving functions are being applied on the test track and first demonstrations are carried out. This paper gives an overview of the results, which have been achieved within the work package of the thermal onboard network. The thermal management system including the heating, ventilation and air conditioning system and its development process is explained in detail. Furthermore, climate chamber measurements with prototype hardware of a sensor data processing computer and the integration of the air conditioning control unit into the vehicle’s automotive service-oriented architecture framework are described. A coupled simulation approach to predict occupant thermal comfort in one vehicle variant is presented. Simulation results using environmental conditions typical for a European summer show a comfortable environment for all six occupants. In addition, the simulation and development process of a thermoelectric heat pump is shown. First measurement results with the heat pump on a test bench are highlighted which show an achievable coefficient of performance greater than two.

Analytical Evaluation of SOA and SCRUM Business Process Management Approaches for IoT-Based Services Development

The SCRUM approach and Service-Oriented Architecture (SOA) framework are critical in assessing the factors that influence the efficiency of a business process and ensuring that business objectives are fulfilled, and the process is on track to meet those objectives. Flexibility and change adoption are critical features for both SCRUM and SOA approaches. Even though both sides encourage agility, the integration of the two independent concepts (SOA is the architectural framework while SCRUM is the development process) should be considered before being used in software management and development projects. This study assessed and analyzed both SCRUM and SOA’s diverse and different software architectural frameworks and development methodologies as well as their environment, which is integrated with the context of software project management and development setup for the software development industry. In addition, this study explores the similarities between the SCRUM process model and the SOA architectural framework to see if they are compatible and, if so, how they may be combined to enhance SOA-based projects. This research also looks at how to build and use a SCRUM methodology for large-scale SOA projects. As a result, SCRUM was chosen as the software development methodology for a research and development project based on SOA. In terms of project development and implementation, the complete project structure is made up of eight main parts.

Utilizing Service Oriented Architecture (SOA) in IoT Smart Applications

The Service Oriented Architecture (SOA) are used to integrate and manage the city services through a standard framework that has the capacity to develop, deploy and managed the functions that support the components of the city infrastructure. The objective of SOA implementation is to employ sophisticated IT processes that produce continuous, rapid business change outcomes. The aim of this paper is to present current research of the emergence of SOAs considering the trends in urbanization along with the evolution of technology and ubiquitous computing. This paper will explore current trends in development and utilization of Service Oriented Architectures (SOAs) in Smart Cities and propose an SOA framework that will address the challenges of urban planning and development. Advantages of the SOA if we used it for a Smart City Application can be described as the following: Integrate the physical infrastructures of the city such as the transportation sector, utilities, land, and city services, Flexibility, Scalability and Business agility, Easier Testing and Debugging, Reusability, Platform independence, Increased Productivity, SOA enables business decisions to be translated rapidly into technology. Internet of things (IoT) brings unprecedented changes to all contexts of our lives, as they can be informed by smart devices and real-time data. Among the various IoT application settings, e-government seems to be one that can be greatly benefited using IoT, transforming and augmenting public services.

Car Service Spare Parts Procurement Process Improvements Based on SOA

<p>There are many kinds of automobile after-sale service spare parts, which are with a complex relationship in replacement and a large time span in models. The management of automobile after-sale service spare parts is a challenge, not only for automobile manufacturer but also for distributor. Therefore, it becomes an important and difficult task for automobile enterprises to do well in the supply of after-sale service spare parts, but also a target for automobile enterprises to explore and pursue continuously. Taking FAW-Volkswagen Automobile Co. Ltd. as the background, we conducted analysis on its procurement management process of spare parts; we also made some improvements on its process and pushed forward the corresponding products and solutions based on SOA (Service-oriented architecture) framework, so as to improve the procurement efficiency of automobile spare parts, and save cost.</p>

Practical experiences in the usage of MIDAS in the logistics domain

In this paper, we present the experience in the usage of MIDAS, an integrated framework for Service Oriented Architecture (SOA) testing automation that is available as Software as a Service (SaaS) in a cloud infrastructure, to test a GS1 Logistics Interoperability Model (GS1 LIM) compliant service architecture for the logistics domain. Activities performed, results achieved and the evaluation of success factors and key performance indicators (KPIs) are detailed as well as other insights: (1) 25 % of companies would pay for model-based testing (MBT), (2) GS1 LIM should be certifiable, and (3) companies identify as a major barrier how to calculate the MBT return on investment (ROI).

Artificial intelligence in service-oriented software design

Service-Oriented Architecture (SOA) has gained considerable popularity for the development of distributed enterprise-wide applications within the software industry. The SOA paradigm promotes the reusability and integrability of software in heterogeneous environments by means of open standards. Most software companies capitalize on SOA by discovering and composing services already accessible over the Internet, whereas other organizations need internal control of applications and develop new services with quality-attribute properties tailored to their particular environment. Therefore, based on architectural and business requirements, developers can elaborate different alternatives within a SOA framework to design their software applications. Each of these alternatives will imply trade-offs among quality attributes, such as performance, dependability and availability, among others. In this context, Artificial Intelligence (AI) can assist developers in dealing with service-oriented design with the positive impact on scalability and management of generic quality attributes. In this paper, we offer a detailed, conceptualized and synthesized analysis of AI research works that have aimed at discovering, composing, or developing services. We also identify open research issues and challenges in the aforementioned research areas. The results of the characterization of 69 contemporary approaches and potential research directions for the areas are also shown. It is concluded that AI has aimed at exploiting the semantic resources and achieving quality-attribute properties so as to produce flexible and adaptive-to-change service discovery, composition, and development.

O008. Improvement in clinical governance of chronic headache by an information network: HealthSOAF - Calabria Headache Network pilot study.

Background Good clinical governance of headache implies efficient and accessible diagnostic and therapeutic paths involving health care at different levels [1]. Often clinicians do not appropriately assess and treat headache. Information and communication technologies might play a key role in improving access, quality, efficiency and prevention in health care. HealthSOAF (Service-Oriented Architecture Framework) is a networking and interoperability technological platform aimed to assist multiple level health care access and decision making. Its first real testing scenario in Europe has been the Headache Network in the Italian Region of Calabria targeting to assist clinicians at different levels of health care to correctly diagnose, manage and refer headache patients (Figure 1).

Pervasive Service Bus: Smart SOA Infrastructure for Ambient Intelligence

Ambient intelligence (AmI) aims to make our everyday environments intelligent--that is, sensitive, adaptive, and responsive to the presence of people--in a transparent manner. Several challenges exist to building an efficient infrastructure for AmI, including interoperation of heterogeneous systems, intelligence for anticipatory user assistance, adaptability to dynamic environments for good user experience, and scalability to additional users and spaces. Here, the authors propose Pervasive Service Bus (PSB), a smart service-oriented architecture (SOA) framework for AmI spaces that models all computing activities as unified pervasive services. They present an online planning algorithm to adapt service flows to contexts and user tasks. PSB employs a sub-bus-based layout to maintain efficiency in large-scale service interactions. They also discuss their results in evaluating PSB's performance in a Smart Home testbed.

Application of Information Management System for Insurance Agents Based on Service Oriented Architecture

Service oriented architecture (SOA) has many benefits that it can provide a corporation. Information management system for insurance agents provides powerful tools that improve productivity, streamline workflow, and a complete business view. SOA principles possess five representative characteristics, i.e. standardized service contracts, discoverability and composability, abstraction and reusability, loose coupling, autonomy and statelessness. The paper put forward an integrated framework based on Web service. The analysis and design were represented for insurance agency information management system based on SOA framework. The application of information management system for insurance agents based on SOA made integration of insurance agent management information system more efficient to adapt to the information management development of the insurance industry.

SOA adoption in e-banking

Purpose – The purpose of this paper is to identify and analyze influential factors of service-oriented architecture (SOA) adoption in e-banking and to provide a methodological framework that explains these factors. One of the main reasons why banks fail to achieve the benefits from SOA adoption is attributed to the lack of a framework that takes multiple perspectives of crucial factors into account. For this reason, the absence of such a methodological framework forms an important research problem that requires deeper investigation. In addressing this issue the paper proposes a framework that improves the decision-making process and helps banks raising SOA adoption benefits. Design/methodology/approach – The paper is based on a critical review and analysis of the normative literature, the development of a conceptual framework for SOA adoption in e-banking and the examination of this through a case study in a real environment. Various data collection methods such as personal interview, archival records, documentation and observation are used. Empirical data are triangulated and then analyzed to draw empirical conclusions. Findings – Several factors and classifications of factors related to SOA adoption are not similar among researchers and there is no completed study on analyzing the influential factors related to SOA adoption in e-banking. The findings provide new insights related to influential factors of SOA adoption in e-banking and extend the body of knowledge. The findings show that the proposed framework can improve the decision-making process and help banks to increase the SOA adoption benefits in an e-banking environment. Originality/value – An earlier version of the paper was presented at the European, Mediterranean and Middle Eastern Conference on Information Systems 2012 and has been selected for publishing in the Journal of Enterprise Information Management. This paper adds a new dimension to existing SOA frameworks by investigating influential factors of SOA adoption in e-banking where limited research has been done, facilitates banks in making robust decisions for SOA adoption in e-banking and enriches the bibliography related to SOA adoption in e-banking.

An Integrated Security Framework for SOA

In today's Web environment, Service Oriented Architecture (SOA) becomes an efficient paradigm to integrate distributed applications. Due to loosely coupled nature of SOA, security is one of the most important issues that must be considered in SOA-based environments. Most of the existing security solutions are proposed only from one certain point of view, and they are difficult to integrate together. In this paper, an integrated framework for SOA are proposed to provides an overall security solution, which contains a three-dimensional security model, a security architecture and related security standards.

Web-Based Newborn Screening System for Metabolic Diseases: Machine Learning Versus Clinicians

BackgroundA hospital information system (HIS) that integrates screening data and interpretation of the data is routinely requested by hospitals and parents. However, the accuracy of disease classification may be low because of the disease characteristics and the analytes used for classification.ObjectiveThe objective of this study is to describe a system that enhanced the neonatal screening system of the Newborn Screening Center at the National Taiwan University Hospital. The system was designed and deployed according to a service-oriented architecture (SOA) framework under the Web services .NET environment. The system consists of sample collection, testing, diagnosis, evaluation, treatment, and follow-up services among collaborating hospitals. To improve the accuracy of newborn screening, machine learning and optimal feature selection mechanisms were investigated for screening newborns for inborn errors of metabolism.MethodsThe framework of the Newborn Screening Hospital Information System (NSHIS) used the embedded Health Level Seven (HL7) standards for data exchanges among heterogeneous platforms integrated by Web services in the C# language. In this study, machine learning classification was used to predict phenylketonuria (PKU), hypermethioninemia, and 3-methylcrotonyl-CoA-carboxylase (3-MCC) deficiency. The classification methods used 347,312 newborn dried blood samples collected at the Center between 2006 and 2011. Of these, 220 newborns had values over the diagnostic cutoffs (positive cases) and 1557 had values that were over the screening cutoffs but did not meet the diagnostic cutoffs (suspected cases). The original 35 analytes and the manifested features were ranked based on F score, then combinations of the top 20 ranked features were selected as input features to support vector machine (SVM) classifiers to obtain optimal feature sets. These feature sets were tested using 5-fold cross-validation and optimal models were generated. The datasets collected in year 2011 were used as predicting cases.ResultsThe feature selection strategies were implemented and the optimal markers for PKU, hypermethioninemia, and 3-MCC deficiency were obtained. The results of the machine learning approach were compared with the cutoff scheme. The number of the false positive cases were reduced from 21 to 2 for PKU, from 30 to 10 for hypermethioninemia, and 209 to 46 for 3-MCC deficiency.ConclusionsThis SOA Web service–based newborn screening system can accelerate screening procedures effectively and efficiently. An SVM learning methodology for PKU, hypermethioninemia, and 3-MCC deficiency metabolic diseases classification, including optimal feature selection strategies, is presented. By adopting the results of this study, the number of suspected cases could be reduced dramatically.

Monitoring SOA Applications with SOOM Tools: A Competitive Analysis

Abstract Background: Monitoring systems decouple monitoring functionality from application and infrastructure layers and provide a set of tools that can invoke operations on the application to be monitored. Objectives: Our monitoring system is a powerful yet agile solution that is able to online observe and manipulate SOA (Service-oriented Architecture) applications. The basic monitoring functionality is implemented via lightweight components inserted into SOA frameworks thereby keeping the monitoring impact minimal. Methods/Approach: Our solution is software that hides the complexity of SOA applications being monitored via an architecture where its designated components deal with specific SOA aspects such as distribution and communication. Results: We implement an application-level and end-to-end monitoring with the end user experience in focus. Our tools are connected to a single monitoring system which provides consistent operations, resolves concurrent requests, and abstracts away the underlying mechanisms that cater for the SOA paradigm. Conclusions: Due to its flexible architecture and design our monitoring tools are capable of monitoring SOA application in Cloud environments without significant modifications. In comparisons with related systems we proved that our agile approaches are the areas where our monitoring system excels

SOA Framework for Geriatric Remote Health Care Using Wireless Sensor Network

Remote healthcare system is widely used in developed and developing countries. Rapid development in network technologies and Sensor Web Enablement (SWE) provide anytime anywhere access of healthcare data. But Sensor Web Enablement faces challenges such as privacy, security, scalability etc. This paper proposes a framework that addresses above issues. The proposed framework comprises of Wireless Body Sensor Network (WBSN), Service Oriented Architecture (SOA) and web services to provide health services to the doctors, caregivers and patients. In order to address the privacy issues of sensitive health data, the proposed framework uses role based authorization technique to formulate the rules and decide whether to allow or deny the user access request. The proposed framework has been implemented using Java. Experimental results show that the proposed SOA framework guarantees high quality service with average response time of 0.237ms and average throughput of 87%.

The LAN Information Integration Model Research Based on User's Individual Needs

A maximum-meet user’s individual needs integration model was presented in this paper, which integrated information integration thinking, Web3.0 with open platform. The model embedded Service-Oriented Architecture (SOA) framework realized the information integration. Then combined the OpenID ,OAuth, and role-based access control (RBAC) achieved single sign-on and authorization system; finally, based on Maps API Mashup applications realized the interaction between the LAN Web information and maps. The model has the advantage of friendly interface, strong replicability, and high security.

Dynamic SOA Framework to Support Ad Hoc Enterprise Alliance Formation

Collaboration among businesses is needed to successfully fulfill a given task and goal. Service-Oriented Architecture (SOA) has been regarded as an efficient platform to support flexible interoperability among various enterprises by discovering, selecting and composing services. However, since a large number of enterprises have been participating in this SOA platform, relationships among these enterprises are getting too complicated to obtain flexibility and scalability for efficient collaboration. Thereby, in this paper, we propose a dynamic SOA platform to discover service chains for building ad hoc enterprise alliances where the only relevant enterprises are sorted out and merged. As a result, given an event, decision makers can find out which enterprises (and services from the enterprises) might be selected for their collaboration. The proposed SOA platform has been applied to mobile advertisement application as a case study. With respect to two indicators (i.e., precision and agility), we have shown that the proposed SOA outperforms traditional enterprise collaboration schemes.

GWASS: GRASS web application software system based on the GeoBrain web service

GRASS is a well-known geographic information system developed more than 30 years ago. As one of the earliest GIS systems, GRASS has currently survived mainly as free, open-source desktop GIS software, with users primarily limited to the research community or among programmers who use it to create customized functions. To allow average GIS end users to continue taking advantage of this widely-used software, we developed a GRASS Web Application Software System (GWASS), a distributed, web-based, multi-tiered Geospatial Information System (GIS) built on top of the GeoBrain web service, a project sponsored by NASA using the latest service oriented architecture (SOA). This SOA enabled system offers an effective and practical alternative to current commercial desktop GIS solutions. With GWASS, all geospatial processing and analyses are conducted by the server, so users are not required to install any software at the client side, which reduces the cost of access for users. The only resource needed to use GWASS is an access to the Internet, and anyone who knows how to use a web browser can operate the system. The SOA framework is revitalizing the GRASS as a new means to bring powerful geospatial analysis and resources to more users with concurrent access.

Security Visualization Collaborative Security Framework for Service Oriented Architecture

The Service oriented architecture is evolving as a new technology, which is currently adopted by many fields like Healthcare, Educational sector etc. It is highly adoptable with web services as an interoperable technology. There are various security mechanisms proposed for the individual security issues which works independently. This article is providing a collaborative security framework for the implementation of SOA with web services.

Adaptive SOA with Interactive Monitoring Techniques and HPS

With the advent of distributed technologies and related Integrated Development Environments (IDEs), business collaborations across the world irrespective of the platforms in which applications were built. The underlying technology is Web Services which is based on XML standard and the architecture is SOA (Service Oriented Architecture). Many SOA frameworks came in to existence. However, their primary focus is discovering, composition of services in order to make flexible service oriented distributed enterprise applications. Such systems without human expertise may be incomplete. To overcome this problem, this paper proposes techniques to collaborate services based software with human experts thus forming a knowledge- intensive and people centric web besides sharing and reusing software components in distributed environment. To achieve this, we propose a flexible and adaptive approach which facilitates software services and humans to collaborate using Web Services and its important standards like SOAP (Simple Object Access Protocol), WSDL (Web Services Description Language) and UDDI (Universal Description Discovery Integration). This kind of human centric enterprise web has far reaching implications and it can attract the human experts to participate in rendering their best possible services. Interaction monitoring techniques that are adaptive thus realizing standards based people-centric systems. Index Terms: SOA, Web Services, human expertise provisioning, service adaptation

Privacy Protection Framework with Defined Policies for Service-Oriented Architecture

Service-Oriented Architecture (SOA) is a computer systems design concept which aims to achieve reusability and inte- gration in a distributed environment through the use of autonomous, loosely coupled, interoperable abstractions known as services. In order to interoperate, communication between services is very important due to their autonomous nature. This communication provides services with their functional strengths, but also creates the opportunity for the loss of privacy. In this paper, a Privacy Protection Framework for Service-Oriented Architecture (PPFSOA) is described. In this framework, a Privacy Service (PS) is used in combination with privacy policies to create privacy contracts that out- line what can and cannot be done with a consumer's personally identifiable information (PII). The privacy policy con- sists of one-to-many privacy rules, with each rule created from a set of six privacy elements: collector, what, purpose, retention, recipient and trust. The PS acts as an intermediary between the service consumer and service provider, to es- tablish an unbiased contract before the two parties begin sending PII. It is shown how many Privacy Services work to- gether to form the privacy protection framework. An examination of what current approaches to protecting privacy in an SOA environment is also presented. Finally, the operations the PS must perform in order to fulfill its tasks are out- lined.