Web Service Management Research Articles

The concept of human-centricity as a basis for digital and value transformation in the management of modern entrepreneurial projects

Aim. To apply the concept of human-centricity in the process of digital transformation when building a management system for developing entrepreneurial projects.Objectives. Development of practical recommendations and digital tools to implement the concept of Human-Centricity Management (HCM); formation of humanistic values at the early stages of entrepreneurial project development.Methods. The authors applied the methods of analysis, grouping and generalization, typologization, synthesis, graphic and tabular visualization.Results. Practical recommendations for the implementation of the concept of human-centricity (HCM) in the formation of entrepreneurial project management system were developed. The methodology of overcoming the information problem has been supplemented and modified: the web-service Management of Developing Projects (MDP), aimed at the realization of the basic principles of HCM within the framework of the current model of project management, has been proposed and developed. The necessity of humanistic values formation at the early stages of entrepreneurial projects development was substantiated.Conclusions. Entrepreneurial community and related institutions unite on the basis of socially directed role-based business models that support useful social transformations as well as the main principles of HCM. Companies that implement the concept of human-centricity are more successful in attracting and retaining qualified human resources. In conditions of increased demand on the labor market, digitalization of this concept plays the role of a catalyst for development, and it should be taken into account by the initiators of entrepreneurial projects when building the company’s management system.

Innovation in Neighborhood Management Web Service: A Precise Initiative to Augment Audiences' Interaction on Social Media.

In this article, two significant elements in social media websites, system operation, and social technology are examined in connection to website visitors' online loyalty and interaction, namely, commitment and satisfaction, in neighborhood management through social media websites. A total of 287 social media users completed a systematic questionnaire. After confirmatory factor analysis, data were examined in AMOS 24 using structural equation modeling with bootstrap. The research showed that both variables indirectly influence website visitors' online loyalty and interaction via trust and satisfaction, but not directly. Online relationship quality characteristics impact the interaction pattern of social media users after changes in services applied by the respective organizations on their websites. As for managers, the research gives crucial data on user behavior in connection to new services launched by organizations on their websites and shows how value creation to the target audience may help them reduce costs and optimize revenues.

Improved RFM Model for Customer Segmentation Using Hybrid Meta-heuristic Algorithm in Medical IoT Applications

In Internet of Things (IoT) business applications, healthcare records and medical web service management have emerging technologies tremendous amount of data in daily transactions. The cloud service providers have attracted the attention of a huge number of user requests based on different Quality of Service (QoS) factors. The data gained researchers attention to predict user behavior through the production of IoT applications. Artificial Intelligence (AI)-based techniques have a great impact on analyzing and detection of web service segmentation and user behavior in selecting and allocating online services and online stores with wireless communications and smart devices. This research improves the Redundancy, Frequency, and Maintenance value (RFM) model to evaluate healthcare records using a hybrid Grouping Genetic Algorithm (GGA) and Density-based Spatial Clustering of Applications with Noise (DBSCAN) algorithms. In this hybrid method, using the GGA algorithm, the features selection is applied to find the optimal features for healthcare records of customer segmentation. After that, by applying the RFM model on the data output of the genetic algorithm, the data are clustered. Finally, by applying the DBSCAN algorithm, the most suitable case for clustering will be selected. The simulation results show that the accuracy of the genetic algorithm is 97% and the final clustering accuracy is 92%.

Big Data and Internet of Things Web Service Management to Support Salt Agriculture Automation

The integration of the internet of things in the information system application service web platform implemented in the supply chain has given rise to new formats and models, which are important manifestations of industry transformation and improvement. In the context of implementing long-term rural development plans, deep integration of the application of information technology and rural revitalization will act as a trigger that drives productivity and the development of other village business industries. The purpose of this research is to build a web service management model that can be used to manage and help optimize IoT-based salt farming production. The model built consists of software and hardware architectures and interconnections between tools. This research is divided into three stages: the first stage is to identify the data sources needed for big data needs, the second stage is to build a big data microservices model and the IoT model, the third stage is to integrate IoT data with the big data microservices model that has been built. The results of this study are in the form of an IoT device that can be run with big data micro services. The resulting IoT device can be used to automate water distribution based on the salinity value measured using a sensor.

Architecture of project management web services based on integration with natural language processing modules

A method for intellectualizing project management web services based on integration with natural language processing modules is proposed. The supporting of high reliability, extensibility and flexibility of the interface of such systems is a necessary condition for the providing of effective tools for developers of software systems of various profiles. It is shown that a prevalent trend in software development is to increase the portability of software in order to ensure the possibility of using the same application in different runtime environments. The advantages of using the concept of “API-first” are highlighted. The features of the “API-first” web server architecture are considered, in which all requests for web services are executed through a single web API interface, and the resource-intensive web pages formation is transferred to a separate structure on the same host or to a separate web server. The advantages of using natural language processing tools to improve the efficiency and availability of project management web services are considered. Project management web service database structure is proposed. All the natural language processing data for the conversational interface consist of user intents list, entities collections list, entities (collocations or word sets). It will be stored within each external language processing web service in the appropriate format automatically. Examples of prototype business logic with functions for the internal and external API are shown. Most of the external natural language processing service handlers are closely related to this business logic.

Co-attentive representation learning for web services classification

The rapid adoption of services-related technologies, such as cloud computing, has lead to the explosive growth of web services. Automated service classification that groups web services by similar functionality is a widely used technique to facilitate the management and discovery of web services within a large-scale repository. The existing service classification approaches primarily focus on learning the isolated representations of service features but ignored their internal semantic correlations. To address the aforementioned issue, we propose a novel deep neural network with the Co-Attentive Representation Learning (CARL-Net) mechanism for effectively classifying services by learning interdependent characteristics of service without feature engineering. Specifically, we propose a service data augmentation mechanism by extracting informative words from the service description using information gain theory. Such a mechanism can learn a correlation matrix among embedded augmented data and description, thereby obtaining their interdependent semantic correlation representations for service classification. We evaluate the effectiveness of CARL-Net by comprehensive experiments based on a real-world dataset collected from ProgrammableWeb, which includes 10,943 web services. Compared with seven web service classification baselines based on CNN, LSTM, Recurrent-CNN, C-LSTM, BLSTM, ServeNet and ServeNet-BERT, the CARL-Net can achieve an improvement of 5.66%–172.21% in the F-measure of web service classification.

A Topic-Sensitive Method for Mashup Tag Recommendation Utilizing Multi-Relational Service Data

Tagging systems have been widely used as a major way of managing Web service resources. Many portals such as ProgrammableWeb and BioCatalogue allow users to create manual tags annotating Web services and their compositions (e.g., mashups). This is extremely helpful for managing and retrieving enormous Web service data. In the past few years, many tag recommendation approaches have been proposed for Web services that contain few or no tags. Most of them only exploit the textual content or tag service matrix information. Sometimes those approaches suffer from the data sparsity problem, especially when Web services have only few tags or their auxiliary textual contents are hard to be obtained. In real world, a plenty of relationships are available in recommendation systems, e.g., the composition relationship between services and the annotation relationship between mashups and tags. These multi-relational data can be utilized as additional features to improve the recommendation performance. In this paper, we exploit various types of relationships as features and propose a novel topic-sensitive approach based on the Factorization Machines for mashup tag recommendation. Factorization Machines is utilized to model the pair-wise interactions between all features and predict adequate tags for mashups. In this approach, we first obtain the latent topics of all tags as well as the description documents for mashups and APIs based on a novel probabilistic topic model. Then, a multi-relational network by mining various relationships from the Web service data is constructed. Various auxiliary informations are subsequently extracted from the network to train the Factorization Machines. The proposed model is evaluated on three real-world datasets and the experimental results show that it outperforms several state-of-the-art methods.

Information And Consulting Service Using In The Organization Of Personnel Management

The aim of the article is to develop a procedure for implementing an information and consulting web service for personnel management using modern information technologies. It is proposed to use the object-oriented programming language Java. The work of the program is divided into separate blocks, which can be easily adjusted or even replaced. For this, Spring MVC web technologies are used.The system combines complex algorithms and calculations, while it has high flexibility and extensibility with the ability to implement a high level of protection. Another important aspect of developing a web application is ensuring an appropriate level of security with the ability to configure data transfer through encrypted communication channels using the SSL protocol. To increase the flexibility of the system, it is proposed to implement the relationship with the database as a separate module with the ability to adjust it without affecting the main algorithm.In the information and consulting web-service of the district level, a single program operates - the user interface for access to the client database. At this level, they collect, register and process data from enterprises in the region. This is preceded by the preliminary stages of developing the infological model of the subject area, for example, using the ER-model and data design, with further reflection in the datalogical relational model and its optimization (normalization). For the practical implementation of such a datalogical model, a distributed SQL-Server database management system can be used.

Design of Heterogeneous Data Integration and Sharing System for Coastal International Trade

Geng, D., 2020. Design of heterogeneous data integration and sharing system for coastal international trade. In: Yang, Y.; Mi, C.; Zhao, L., and Lam, S. (eds.), Global Topics and New Trends in Coastal Research: Port, Coastal and Ocean Engineering. Journal of Coastal Research, Special Issue No. 103, pp. 718–721. Coconut Creek (Florida), ISSN 0749-0208.After the establishment of several free trade zones and cross-border e-commerce comprehensive pilot zones along the coast of China, the volume of China's international trade has grown rapidly, but at the same time, the trade situation has become increasingly complex. In order to develop the international trade business better, the scientific formulation and timely adjustment of trade policy need to be carried out. Policy making and adjustment need to be based on the integration and sharing of massive data. In order to solve the problem that the performance of traditional heterogeneous data integration and sharing system is insufficient, a coastal international trade heterogeneous data integration and sharing system based on middleware and XML is designed. This system introduces the key technologies of system design, which are middleware and XML. Then a four-tier architecture based on middleware and XML is designed, and then the heterogeneous data integration module is analyzed, including mediator, wrapper and Web Services management. Finally, the system is implemented and tested. The results show that the system is superior to three traditional heterogeneous data integration and sharing systems in four aspects: query speed, accuracy, integration and whether it supports data structure, which proves that the performance of the system is stronger.

Hybrid PSO and ALNS algorithm for software and mobile application for transportation in ice manufacturing industry 3.5

This paper addresses the vehicle routing problem with consideration of vehicle capacities, time windows, multiple products, fleet sizes, and fleet size limits on roads (VRPTWFS). The mathematical model is developed to find an optimal schedule with minimum transportation costs. Since the problem is NP-hard, metaheuristics are required to find a near-optimal solution for larger, more practical problems. Therefore, this paper presents the hybridization of PSO and ALNS, which is firstly developed, for solving the problem. To help the route planner to decide the best routes and schedules for ice transport, a software tool (IceApp) based on the hybridization of PSO and ALNS is designed and developed. The IceApp has an architecture made of software components, running on the cloud server, where the Web Application, Web Service and Database Management System are installed. To support the transportation decision-makers, by taking advantage of the available demand data input to the IceApp software, a mobile application for a vehicle driver has been introduced for application in the ice manufacturing industry. Knowing exact demand allows logistics staff and route planners to coordinate their logistics and distribution with the right number of vehicles, optimize routes and maintain appropriate inventory by improving the availability of real-time customer information, resulting in lower transportation and holding costs. The mobile application for ice transportation also provides more user-friendly visualization, displaying route maps and route flow obtained from the calculation.

Service Composition in IoT using Genetic algorithm and Particle swarm optimization

AbstractWeb service compositions are commendable in structuring innovative applications for different Internet-based business solutions. The existing services can be reused by the other applications via the web. Due to the availability of services that can serve similar functionality, suitable Service Composition (SC) is required. There is a set of candidates for each service in SC from which a suitable candidate service is picked based on certain criteria. Quality of service (QoS) is one of the criteria to select the appropriate service. A standout amongst the most important functionality presented by services in the Internet of Things (IoT) based system is the dynamic composability. In this paper, two of the metaheuristic algorithms namely Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) are utilized to tackle QoS based service composition issues. QoS has turned into a critical issue in the management of web services because of the immense number of services that furnish similar functionality yet with various characteristics. Quality of service in service composition comprises of different non-functional factors, for example, service cost, execution time, availability, throughput, and reliability. Choosing appropriate SC for IoT based applications in order to optimize the QoS parameters with the fulfillment of user’s necessities has turned into a critical issue that is addressed in this paper. To obtain results via simulation, the PSO algorithm is used to solve the SC problem in IoT. This is further assessed and contrasted with GA. Experimental results demonstrate that GA can enhance the proficiency of solutions for SC problem in IoT. It can also help in identifying the optimal solution and also shows preferable outcomes over PSO.

Technical analysis on security realization in web services for e-business management

The web service is proved to be one of significant milestone in the evolution of distributed computing. Applications interoperate with programs providing simple services to deliver sophisticated value-added services. Web service proves to be a loosely coupled way of achieving complex operations with less ownership of the resources in a standard way. Variety of platforms and frameworks communicate with the aim of transferring the business intelligence, domain specific functionalities and so on. The communication between the server providing the service and the client revolves around two main web technologies such as World Wide Web, and Hyper Text Transfer Protocol. As specified earlier web service invocation is achieved due to collaboration of multiple entities on the web. The quality of service factors such as performance, reliability, security, response time, availability etc., are very important to enable this web service invocation. Among which security proves to be a challenging factor due to vulnerabilities in the web that is imposed on the usage of numerous methods, tools and technologies. In the same pace, numerous standards and mechanisms has been introduced to handle the security threats. It is found to be difficult to arrive at a complete solution or standard to address the security issues of web services. As an initiative to provide a broader perspective on security of web services the review presented could provide glimpses of security vulnerabilities and solutions available.

Bibliographical activity in the networked information environment

Challenges of the digital information environment web 2.0 transform the ways of bibliographic activities. Among the features of digital information environment are unstructured and heterogeneous data that consist digital information sources; erasing differences between publish and unpublish information that complicates the universal bibliographic control and selection of the information sources for libraries’ collections; also the role of the user in the semantic web is changing from passive use of information to active involving in information creation, development and management, or human information interaction. The main trends of bibliographic activities in the digital information environment are the development of bibliographic metadata formats in the context of the universal bibliographic control of the digital sources web 2.0; design of the information architecture web 2.0 and information systems using the bibliographic principles of document identification, description, classification and labeling for digital documents and data and taking into account the usability and human factors requirements; management of folksonomies and web-services for user’s personal bibliographic activities; usage of cloud computing to develop digital libraries and bibliographic services; integration libraries online catalogs with the interfaces of internet search engines in discovery systems; using new infometrics like altmetrics for bibliographic researches.

AWESoME: Big Data for Automatic Web Service Management in SDN

Software defined network (SDN) has enabled consistent and programmable management in computer networks. However, the explosion of cloud services and content delivery networks (CDNs)—coupled with the momentum of encryption—challenges the simple per-flow management and calls for a more comprehensive approach for managing Web traffic. We propose a new approach based on a “per service” management concept, which allows to identify and prioritize all traffic of important Web services, while segregating others, even if they are running on the same cloud platform, or served by the same CDN. We design and evaluate AWESoME, automatic Web service manager, a novel SDN application to address the above problem. On the one hand, it leverages big data algorithms to automatically build models describing the traffic of thousands of Web services. On the other hand, it uses the models to install rules in SDN switches to steer all flows related to the originating services. Using traffic traces from volunteers and operational networks, we provide extensive experimental results to show that AWESoME associates flows to the corresponding Web service in real-time and with high accuracy. AWESoME introduces a negligible load on the SDN controller and installs a limited number of rules on switches, hence scaling well in realistic deployments. Finally, for easy reproducibility, we release ground truth traces and scripts implementing AWESoME core components.

MORCA: ubiquitous access to life science web services

BackgroundTechnical advances in mobile devices such as smartphones and tablets have produced an extraordinary increase in their use around the world and have become part of our daily lives. The possibility of carrying these devices in a pocket, particularly mobile phones, has enabled ubiquitous access to Internet resources. Furthermore, in the life sciences world there has been a vast proliferation of data types and services that finish as Web Services. This suggests the need for research into mobile clients to deal with life sciences applications for effective usage and exploitation.ResultsAnalysing the current features in existing bioinformatics applications managing Web Services, we have devised, implemented, and deployed an easy-to-use web-based lightweight mobile client. This client is able to browse, select, compose parameters, invoke, and monitor the execution of Web Services stored in catalogues or central repositories. The client is also able to deal with huge amounts of data between external storage mounts. In addition, we also present a validation use case, which illustrates the usage of the application while executing, monitoring, and exploring the results of a registered workflow. The software its available in the Apple Store and Android Market and the source code is publicly available in Github.ConclusionsMobile devices are becoming increasingly important in the scientific world due to their strong potential impact on scientific applications.Bioinformatics should not fall behind this trend. We present an original software client that deals with the intrinsic limitations of such devices and propose different guidelines to provide location-independent access to computational resources in bioinformatics and biomedicine. Its modular design makes it easily expandable with the inclusion of new repositories, tools, types of visualization, etc.

Managing Web Service Interface Complexity via an OO Metric-based Early Approach

Web Services have been steadily gaining maturity as their adoption in the software industry grew. Accordingly, metric suites for assessing different quality attributes of Web Service artifacts have been proposed recently - e.g., for services interfaces in WSDL (Web Service Description Language). Like any other software artifact, WSDL documents have several inherent attributes (e.g., size or complexity) that can be measured. We present an approach to prevent a high complexity on services interfaces (WSDLs), to ease consumers to reason about services' offered functionality. Mostly, WSDLs are automatically derived from object-oriented (OO) source code, with a likely impact on complexity. Thereby, we study the statistical relationships between a recent metric suite of service interface complexity (proposed by Basci & Misra) and the well-known Chidamber & Kemerer's OO metric suite (applied to service implementations), on a data-set of 154 real-world services. First, a theoretical validation of Baski & Misra's suite (using Weyuker's properties) is presented, to prove the ability to measure complexity in WSDL documents. Then, after finding high correlation between both metric suites, we have conducted a series of experiments to analyze how certain refactorings on services' source codes prior to derive WSDLs might reduce complexity. In this way, our approach exploits OO metrics as development-time indicators, to guide software developers towards obtaining less complex service interfaces.

Educational resources as learning Web services, an alternative point of view to learning objects

The availability of educational resources on the Web is an efficient way of acquiring and sharing the knowledge through e-Learning. Nowadays there are hundreds of learning objects on the Internet; these objects are developed under e-Learning specifications and standards, such as SCORM and IMS Content Package. These standards allow the use of learning objects in learning management systems. However, learning environments and learning objects must have been built to the same standards. In this sense, there are several initiatives for e-Learning supported by services oriented architectures and Web services technologies. These initiatives pursue the integration of features that promote interoperability and thereby reusability of educational resources. The goal of this paper is to describe how educational resources can be dealt with as Web services in a learning management system, representing an alternative to learning objects. In this sense, learning Web services are software components that allow the use of educational resources. The employment of learning Web services allows the use and reuse of educational content in different learning environments, and other client applications. These learning Web services can be described, published, discovered and invoked using open standards over an Internet protocol backbone, such as SOAP, XML, WSDL, and HTTP. This can be achieved by extending a Learning Management Systems like Moodle, where integration, presentation, and management of learning Web services may be performed, as described in this paper.

Designing a web service for flood relief operation management using Volunteer Geographic Information (VGI) based on Open Source technologies

Designing a web service for flood relief operation management using Volunteer Geographic Information (VGI) based on Open Source technologies

Managing QoS degradation of partner web services: A proactive and preventive approach

In the service oriented paradigm, a software solution is a composition of individual web services. These web services, also called partner services, contribute not only to realize the functional capabilities of the software solution but also determine its Quality of Service (QoS). A partner web service operates in a dynamic environment, and hence is vulnerable to failures, or suffers from QoS degradation. The failure of a partner web service compromises QoS of service based solution. Therefore, a research challenge arises as to how to manage web services which suddenly disappear at the time of execution or stop performing as expected. Several solutions exist for run time monitoring of the partner web services so that when QoS values of some of them degrade, the software solution can be adapted and executed using alternative web services with better QoS. But these solutions are confined either to client side or to provider side. In this paper, we propose a solution which is distributed between the clients and the service providers. It is a software agent based framework that prevents invocation of partner web services with degraded QoS. The experimental results show the effectiveness and efficiency of the proposed solution in a dynamic runtime environment.

Web Service Aggregation and Selection Based on Join Operation in RDB

How to realize Web service organization and management quickly and accurately, and build an effective service selection mechanism to choose services with correlations to meet users' functional and non-functional requests, and thus to meet the individual and dynamic changing requirements is a key problem in the Service-Oriented Software Engineering (SOSE). The Web service and ontology information are stored into RDB (relational database) in our method, it realizes Web service aggregation and selection in term of service interface (Input and Output) and execution capability (Precondition and Effect). Firstly, the Web service clustering method based on self-join operation in RDB is proposed to cluster services efficiency. Then it uses the abstract service extraction method to get abstract services, and uses Web service aggregation approach based on join operation to organize the clustered services. Finally, the Web service selection method is proposed to select the atomic service and a set of services with correlations to meet users' functional and QoS (quality of service) requirements. In addition, the case study and experiments are used to explain and verify the effectiveness of the proposed methods.