Service Oriented Architecture Design Research Articles

The Use of Artificial Intelligence Combined with Cloud Computing in the Design of Education Information Management Platform

Based on cloud computing theory and service-oriented architecture (SOA) design pattern, a smart education management platform is designed by using cloud computing and artificial intelligence technology. The platform is deployed in the server cluster environment, with Hadpoop managed storage cluster as the data storage center. For the education management, education portal and remote classroom, the corresponding services are launched, which has the advantages of intelligent and efficient, massive data access and intelligent collaborative management. The test results show that the platform can be used normally in the ports of computer, mobile phone and tablet computer, and can successfully complete the basic operations such as user registration and login, educational administration, and content storage. The results of database stress test show that the total time consumption of sequential read, sequential write, random read and random write is 752s, 312s, 968s and 211s, respectively when millions of simulated data are inserted into the database, which indicates that the database can support large-scale data access. The stress test results of content storage service show that when the number of clients is adjusted to 500, 1000 and 3000, the output quantity of each read-write interface can be maintained at about 3500 pages/min in 60s, indicating that the system can still run stably under the condition of high concurrency. The management platform discussed has practical significance to promote the development of intelligent and information-based education management.

Analysis of Tumor Disease Patterns Based on Medical Big Data

Using the medical big data mining related technology, the model of tumor disease was analyzed and studied. Using data science methods as a guiding method and idea, analyzing and constructing a medical service model based on big data for oncology diseases, exploring its development strategy; using business process analysis method to analyze the business process and mapping of cancer disease medical services; using serviceoriented architecture analysis and Design methodology to build a highly flexible, configurable, and easily scalable precision medical big data platform. By analyzing the characteristics of medical big data and the shortcomings of the traditional Apriori algorithm, the Hadoop platform is used to improve and optimize the Apriori algorithm. The results show that the improved Apriori algorithm has great improvement in efficiency and performance, and can be adapted to mining medical big data. Through data mining experiments, it is concluded that there is a correlation between tumors and smoking, chronic infection, occupational pathogenic factors, etc. It has certain guiding significance for the prevention and treatment of tumors, thus also demonstrating the improved Apriori algorithm for lung tumors. Clinical research has practical significance.

Improving the Detection of Artifact Anomalies in a Workflow Analysis

Workflow management systems (WfMS) are considered as accomplish platforms which can provide structured organization in business process and service architecture design. The systems contain workflow models in foundation, which provide flow control in one or more task sequences in parallel. Manipulation and access of artifacts that occur in or between the task sequences can generate unexpected state of artifacts by inappropriate workflow design. The artifact anomalies in a workflow model are classified into two categories, which are types of continuous and concurrent anomalies. A continuous anomaly occurs while an artifact is written redundantly or accessed before production. On the other hand, a concurrent anomaly can occur while an artifact is conflict written in parallel in a workflow model. There are several methods presented for anomaly analysis, however, these methods cannot detect all anomalies due to their definitions and they are either inefficient or lack of proof for the correctness. In this article, we present improved detection methods with an improved C-tree structure, called SP-tree. Based on an updated anomaly definition, our anomaly detection includes two stages: 1) the transformation algorithm generates an equivalent SP-tree from a given structured workflow model; and 2) based on the generated equivalent SP-tree, a series of methods are applied to detect anomalies.

Service-oriented architecture design for small and medium enterprises with infrastructure and cost optimization.

Abstract This article presents the design, administration and implementation of SOA under an infrastructure and cost optimization approach for medium, small, and micro companies. The architecture is defined from a conceptual model that abstracts the business model into three central services: Chat Service, Business Service and Company Service and the physical model that was deployed to carry out its implementation. In turn, the modifications to the traditional SOA are exposed, which were: withdrawal of service contract layer, low impact in web services and decentralization of data storage. As a result, improvements in business agility were obtained with optimization of infrastructure resources, and costs of a software development company.

Entity-fishing: A DARIAH Entity Recognition and Disambiguation Service

This paper presents an attempt to provide a generic named-entity recognition and disambiguation module (NERD) called entity-fishing as a stable online service that demonstrates the possible delivery of sustainable technical services within DARIAH, the European digital research infrastructure for the arts and humanities. Deployed as part of the national infrastructure Huma-Num in France, this service provides an efficient state-of-the-art implementation coupled with standardised interfaces allowing an easy deployment on a variety of potential digital humanities contexts. Initially developed in the context of the FP9 EU project CENDARI, the software was well received by the user community and continued to be further developed within the H2020 HIRMEOS project where several open access publishers have integrated the service to their collections of published monographs as a means to enhance retrieval and access. entity-fishing implements entity extraction as well as disambiguation against Wikipedia and Wikidata entries. The service is accessible through a REST API which allows easier and seamless integration, language independent and stable convention and a widely used service-oriented architecture (SOA) design. Input and output data are carried out over a query data model with a defined structure providing flexibility to support the processing of partially annotated text or the repartition of text over several queries. The interface implements a variety of functionalities, like language recognition, sentence segmentation and modules for accessing and looking up concepts in the knowledge base. The API itself integrates more advanced contextual parametrisation or ranked outputs, allowing for the resilient integration in various possible use cases. The entity-fishing API has been used as a concrete use case to draft the experimental stand-off proposal, which has been submitted for integration into the TEI guidelines. The representation is also compliant with the Web Annotation Data Model (WADM). In this paper we aim at describing the functionalities of the service as a reference contribution to the subject of web-based NERD services. In this paper, we detail the workflow from input to output and unpack each building box in the processing flow. Besides, with a more academic approach, we provide a transversal schema of the different components taking into account non-functional requirements in order to facilitate the discovery of bottlenecks, hotspots and weaknesses. We also describe the underlying knowledge base, which is set up on the basis of Wikipedia and Wikidata content. We conclude the paper by presenting our solution for the service deployment: how and which the resources where allocated. The service has been in production since Q3 of 2017, and extensively used by the H2020 HIRMEOS partners during the integration with the publishing platforms.

Model-Based Design of Service-Oriented Architectures for Reliable Dynamic Reconfiguration

<div class="section abstract"><div class="htmlview paragraph">Service-oriented architectures (SOAs) are well-established solutions in the IT industry. Their use in the automotive domain is still on the way. Up to now, the automotive domain has taken advantage of service-oriented architectures only in the area of infotainment and not for systems with hard real-time requirements. However, applying SOA to such systems has just started but is missing suitable design and verification methodologies. In this context, we target to include the notion of model-based design to address fail-operational systems. As a result, a model-based approach for the development of fail-operational systems based on dynamic reconfiguration using a service-oriented architecture is illustrated. For the evaluation, we consider an example function of an automatically controlled braking system and analyze the reconfiguration time when the function fails. The reconfiguration time, together with the worst-case execution time (WCET), was determined by a model-based calculation and by simulation. In summary, the proposed approach applied to dynamically reconfigurable systems can meet the design requirements of the ISO 26262.</div></div>

The design of the software system for the interpretation and guidance of drug locus related to drug treatment

Based on the pharmacogenomics theory, this study developed a software system for interpretation of drug gene loci and guidance on clinical safe medication with the purpose of providing clinical guidance on the safety and effectiveness of drug use through accurate and efficient detection and interpretation of drug gene loci. The system infrastructure was built on a service-oriented architecture (SOA) design and Docker container virtualization approach to achieve a rapid and automatic interpretation of genetic results and best available drugs. The front end was established on HTML5 and JavaScript to realize visualization of analysis results and user interaction. The system was tested and validated to show robust performance which is reliable in clinical use. It will show high impact on the development of pharmacogenomics and clinical practice of patients with personalized medicine.

An SOA-Based Design of JUNO DAQ Online Software

The Online Software, manager of the Jiangmen Underground Neutrino Observatory (JUNO) data acquisition (DAQ) system, is composed of many distributed components working coordinately. It takes the responsibility of configuring, processes management, controlling, and information sharing. The design of service-oriented architecture (SOA) makes the Online Software lightweight, loosely coupled, reusable, modular, self-contained, and easy to be extended. All the services in the SOA distributed Online Software system will send messages to each other without an intermediate broker. Hence, the services can operate independently. ZeroMQ is chosen but not the only technical choice as the low-level communication middleware because of its high performance and convenient communication model while using Google Protobuf as a marshaling library to unify the pattern of message contents. The partitioning of the JUNO detector into smaller subdetectors and segments ensures that these subsystems can either be readout together or independently. All running data except the raw physics events will be transmitted, processed, and recorded to the database. High availability (HA) mechanisms are foreseen to reduce single points of failure (SPOF) in the distribution system. This paper will introduce all the core services' functionality and techniques in detail.

Feature models as service contracts in service oriented architecture

The service contract is one of the fundamental design principles in the service oriented architecture (SOA). Its goal is to express the features (e.g., services and capabilities) of service providers (SPs) so service consumers (SCs) can identify them to communicate correctly. The two most known service contracts in the literature are: WSDL for SOAP and WADL for REST. We identify that these service contracts suffer from several problems (e.g., they only allow expressing a limited set of features). Also, we notice from the literature a lack of service contracts dedicated for SC. In order to overcome these problems, we propose two features models (FMs) based on SOA design patterns that can be considered as generic and formal service contracts for SP and SC. We propose extensions to the feature metamodel (FMM) and semantic constraints that ensure generating fully functional, valid, customised and consistent SPs and SCs from the proposed FMs.

A case-based reasoning approach to reuse quality-driven designs in service-oriented architectures

Service-Oriented Architecture (SOA) has become a dominant approach for developing distributed enterprise-wide applications. Most organizations capitalize on SOA by discovering and reusing services already accessible over the Internet. In addition to functional requirements, the implementation of a SOA design must consider quality-attribute properties (e.g., performance, interoperability or security, among others), which require developers to explore and assess candidate solutions fulfilling the same functional requirements. This exploration is usually driven by architectural knowledge and SOA principles, but it can be a time-consuming and error-prone process, even for expert developers. To deal with this issue, we present a case-based reasoning approach called AWESOME to assist developers in exploring different development alternatives, by modeling quality-attribute aspects and SOA design patterns as cases. Our approach has been evaluated with four case-studies, and the results have shown that the solutions generated by AWESOME are judged as satisfactory by a number of SOA experts.

IIOT-Based Intelligent Control and Management System for Motorcycle Endurance Test

The Industrial Internet of Things (IIOT) is a new generation intelligent system based on the real-time network and embedded system. It combines the global Internet with the new capabilities of direct control of the physical world to promote the rapid development of manufacturing industry and other industries. In this paper, a four-layer IIOT architecture, that is perception executive layer (data acquisition), cognitive layer (business logic, identification, classification), network layer (communication layer), and control layer (external participation), is proposed aiming to the design goal to realize the intelligent management and remote control of motorcycle ’s endurance test. This architecture has a good guiding role for the design and development of IIOT and service-oriented architecture. On this basis, the paper builds the new Internet of Thing test platform management system with the ability of digital intelligent control, intelligent perception and remote intensive management. The system includes a management platform and five sub-system: front-end data acquisition system, control feedback and processing system, data transmission system, database management system, and cloud management system. By improving the interface capability of external (detection) parameters and establishing protocol relationships, the system become an open system with easy management, upgrading, extension, and compatibility. Thus realized the remote monitoring and control management on the endurance test process, improved the ability of cloud services through the cloud monitoring and management platform, and achieved the test control and management systematic, modular, digital, and intelligent.

A Wide Area Service Oriented Architecture Design for Plug and Play of Power Grid Equipment

In this paper, we propose a wide-area service-oriented architecture design for plug and play power grid equipment, which adopts the service proxy mechanism to manage and control the service domain accessed to the wide area network through the domain management center. Accordingly, the service management center controls the service registration, the targeting (discovery) and the service information in the service domain. It also provides the functions of maintenance-free access and communication, service object management, service subscription and distribution between service providers and service consumers in wide-area interactions. Subsequently, our proposed architecture is able to achieve the servitization interaction of power grid applications, and enhance the level of information sharing and the capacity of business collaboration between the main station of dispatch and control and intelligent electric substation. It also can provide the practical guidance for automatic access of substation equipment, the function improvement of the main control station and the service transformation of its applications.

Sea Level Change and Coastal Climate Services: The Way Forward

For many climate change impacts such as drought and heat waves, global and national frameworks for climate services are providing ever more critical support to adaptation activities. Coastal zones are especially in need of climate services for adaptation, as they are increasingly threatened by sea level rise and its impacts, such as submergence, flooding, shoreline erosion, salinization and wetland change. In this paper, we examine how annual to multi-decadal sea level projections can be used within coastal climate services (CCS). To this end, we review the current state-of-the art of coastal climate services in the US, Australia and France, and identify lessons learned. More broadly, we also review current barriers in the development of CCS, and identify research and development efforts for overcoming barriers and facilitating their continued growth. The latter includes: (1) research in the field of sea level, coastal and adaptation science and (2) cross-cutting research in the area of user interactions, decision making, propagation of uncertainties and overall service architecture design. We suggest that standard approaches are required to translate relative sea level information into the forms required to inform the wide range of relevant decisions across coastal management, including coastal adaptation.

Feature models as service contracts in service oriented architecture

The service contract is one of the fundamental design principles in the service oriented architecture (SOA). Its goal is to express the features (e.g., services and capabilities) of service providers (SPs) so service consumers (SCs) can identify them to communicate correctly. The two most known service contracts in the literature are: WSDL for SOAP and WADL for REST. We identify that these service contracts suffer from several problems (e.g., they only allow expressing a limited set of features). Also, we notice from the literature a lack of service contracts dedicated for SC. In order to overcome these problems, we propose two features models (FMs) based on SOA design patterns that can be considered as generic and formal service contracts for SP and SC. We propose extensions to the feature metamodel (FMM) and semantic constraints that ensure generating fully functional, valid, customised and consistent SPs and SCs from the proposed FMs.

Big Data Architecture Design for the Development of Hyper Live Map (HLM)

The demand for spatial data service technologies is increasing lately with the development of realistic 3D spatial information services and ICT (Information and Communication Technology). Research is being conducted on the real-time provision of spatial data services through a variety of mobile and Web-based contents. Big data or cloud computing can be presented as alternatives to the construction of spatial data for the effective use of large volumes of data. In this paper, the process of building HLM (Hyper Live Map) using multi-source data to acquire stereo CCTV and other various data is presented and a big data service architecture design is proposed for the use of flexible and scalable cloud computing to handle big data created by users through such media as social network services and black boxes. The provision of spatial data services in real time using big data and cloud computing will enable us to implement navigation systems, vehicle augmented reality, real-time 3D spatial information, and single picture based positioning above the single GPS level using low-cost image-based position recognition technology in the future. Furthermore, Big Data and Cloud Computing are also used for data collection and provision in U-City and Smart-City environment as well, and the big data service architecture will provide users with information in real time.

Service architecture for multi-environment mobile cloud services

The growth of connected devices, mostly due to the large number of internet of things IoT deployments and the emergence of mobile cloud services, introduces new challenges for the design of service architectures in mobile cloud computing MCC. An MCC framework should provide elasticity and scalability in a distributed and dynamic way while dealing with limited environment resources and variable mobile contexts web applications, real-time, enterprise services, mobile to mobile, hostile environment, etc. that may include additional constraints impacting the design foundation of cloud services. We show in this work how service-oriented architecture SOA can be a key solution to provide distributed mobile cloud services and how OSGi platform can be an adaptive and efficient framework to provide such implementation. We adapt the proposed MCC framework to different architecture contexts. The first one is a traditional centric model, where mobile devices are reduced to consuming services. The second one is a distributed model where the power of mobile-to-mobile interaction offers unlimited value-services opportunities, and finally, three-tier architecture is considered with the introduction of the cloudlet notion. For each context, we explore the performance of our service-oriented framework, and contrast it with alternative existing solutions.

Characterization of the Application of Service-Oriented Design Principles in Practice: A Systematic Literature Review

Service-Oriented Architecture (SOA) is a paradigm to implement loosely-coupled, platform-independent distributed software systems using communicating services. Currently, SOA is well-recognized as an established architectural paradigm for distributed systems. Specific design principles for SOA have been recognized as fundamental for implementation in practice. In this article, a systematic literature review is performed to characterize SOA design principles regarding criteria including main domains of application, situations in which SOA is used, which basic design principles are used in practice, how research is evaluated, what benefits of using SOA design principles have been reported, and how SOA applications have been modeled. From 507 articles first selected, 67 were fully read, and 27 were considered of relevance for this research. Interesting results were found from this review. Most studies cited using at least one SOA design principle. Quality of SOA applications has been hardly mentioned. Few studies dealing with the effective application of design principles and how they affect quality are mentioned. SOA Design Principles are presented as key concepts in literature, but are not always shown in case studies as being explicitly applied in practice.

REVIEW ON STRUCTURAL PROPERTIES METRICS IN SOA DESIGN

The application of metrics for the purpose of measuring qualities of software has been widely practice within software engineering industry. Though in the beginning most measurement involves artifacts such as source code, quality measurement from the beginning of software lifecycle is slowly gathering attention. Service-Oriented Architecture (SOA) is a new paradigm that introduces way to develop software in a faster way by adopting available services. SOA application is better comprehended using its composition design. Thus in earlier researches, many metrics had been proposed in relation to SOA design. This paper focuses on proposed metrics from earlier research works specifically one that measure the structural properties of SOA application. The structural properties metrics selected are analyzed from both static and dynamic perspectives. Around seventeen papers are selected during the data collection process. The proposed metrics are then separated into its respective properties type and are further analyzed to find required characteristics for each discussed property. The result from the analysis is list of construction characteristics for each structural property that can be used as guidelines for future researchers that incline on proposing new metrics. The metrics classification also indicates on research gap within the area of structural properties metrics in SOA domain.

Reference model of Industrie 4.0 service architectures

Abstract This paper provides an overview about the conceptual work performed by the VDI/VDE GMA working group 7.21 towards the specification of a reference model for Industrie 4.0 service architectures. It focuses on the conceptual design of service-oriented architecture (SOA) relying upon the “I40 component” as a core basic concept across the whole value network. Furthermore, the paper discusses the relevance of reference models of the Internet of Things and Services as a foundation.

Development and Evaluation of Animal and Plant Video Encyclopedias Implementing Service-Oriented Architecture Design Principles

Service-Oriented Architecture (SOA) is an architectural concept to build software which emphasizes the use of services and comprises design principles. Research on this paper implements SOA design principles in the development of Animal Video Encyclopedia and Plant Video Encyclopedia. By implementing SOA, this paper would like to see if SOA affects the number of Function Points in the development of a software solution. Function Point numbers which are the result of Function Point Analysis (FPA) calculation have been widely used in software industry to measure the size of an application based on functionalities from user’s perspective. This paper uses FPA method to count the Function Points between both Animal and Plant Video Encyclodias solution implementing SOA and Animal and Plant Video Encyclopedias solution that does not implement SOA. Function Points from both solutions are then compared and analyzed based on the implementation of SOA design principles. Results show that numbers of Function Points of the solution implementing SOA appear to be smaller than the number of Function Points of the solution which is not implementing SOA.