Web Services Technology Research Articles

Design and Implementation of Heilongjiang National Tax Information Service Exchange Platform based on Web-Service Technology

This paper focuses on the specific application of Web Service Technology in Heilongjiang national tax information service exchange platform, and discusses the level division of the platform and data transfer technology. This technology has positive significance for the national tax management of Heilongjiang Province.

Drupal core 8 caching mechanism for scalability improvement of web services

Abstract Web services is a growing technology to meet the multiple and concurrent users’ access requirements. Web services’ performance degrades when concurrent users face the delay in receiving replies from services. In an attempt to address the limitation of web services technology, Drupal 8 has been recently introduced. Drupal 8 enables the fast caching of dynamic web pages, and keeps several other features which aid in reducing the response time to users. Results show that Drupal 8 has more impacts in the academic setting for ongoing research on enhancing the scalability of web services.

Estimating Median in The Multi-sourced Heterogeneous Data Set: A distributed implementation

The continuous running of enterprise applications produces a huge volume of business data that reside in different storage and system environments and owned by different companies or organizations, which forms a typical distributed, multi-sourced heterogeneous dataset. The multi-sourced heterogeneous data set provides big potential values for official statistics. While the median is a commonly used indicator in official statistics, it is not a trivial task to estimate the median in the distributed computing environment of multi-sourced heterogeneous data set due to its mathematical nature. In this paper, we proposed a distributed method to estimate the median value for the multi-sourced heterogeneous data set. Mainly considering the different size of multi-sourced data set and unevenly distribution of their data values, we first improve the traditional interpolation based median estimation method for the multi-sourced heterogeneous data set. Then, we propose distributed implementation for the proposed median estimation method based on web service technology. Finally, we evaluate the accuracy and performance of proposed method through experimental study.CCS ConceptsInformation systems ➝ Data management systems ➝ Information integration ➝ Mediators and data integration

A novel application integration architecture for the education industry.

Since the Ministry of Education launched Education Informatization 2.0, the digitalization of colleges and universities has entered a stage of rapid growth. However, after more than 20 years of construction, problems such as system barriers and information islands have emerged in the digital construction of university systems. In order to solve such problems between the university systems, this paper proposes an easily expandable and configurable open information integration architecture by considering traditional information integration methods and combining with Web service technology. The architecture handles user service invocation information through a service layer, and manages the registration and invocation of services through a service module. The permission module manages user permissions to prevent information leakage and security issues. The data module abstracts data-related services to provide a basis for the deep use of data. And other optional development services are designed to satisfy special requirements for different platforms. The architecture proposed in this paper can integrate different heterogeneous subsystems in colleges and universities, eliminating the problem of system barriers and information islands, and providing specifications for the construction of new applications.

Design and implementation of distributed asynchronous data aided computer information interaction system

Under the influence of novel corona virus pneumonia epidemic prevention and control, it has put forward higher requirements for data storage and processing for personnel management system. The distributed asynchronous data aided computer information interaction system can solve the problem of multi node concurrent data processing. The traditional computer information interaction system has poor real-time performance, low precision and asynchronous data processing ability. The invocation features of message queuing asynchronous caching mode are combined with the standardization of Web services and cross language with cross platform access features in this paper. Through the combination of the two technologies, a flexible and universal asynchronous interaction architecture of distributed system is established. Based on Web service technology and system to system access, the call and response of tasks between modules are carried out in the system, which makes the interaction between the whole system have the characteristics of message driven. The test result shows that the system proposed in this paper has good real-time performance and strong data processing ability. It is suitable for the data interaction of distributed personal management system under the influence of novel corona virus pneumonia epidemic prevention and control.

Green lighting intelligent control system with web services based on back propagation algorithm

In order to solve the problems of large energy consumption in many stations, confusion lines and lighting source not accord with environmental protection requirement in the present, we put forward the scheme of automatic control system of green lighting based on PROFIBUS and PLC. In order to realise the inherent limitation of lighting control system in information sharing, remote control and other aspects, web services technology is combined with the original system to make full use of its technical advantages in distribution, openness and flexibility, so as to explore a better way for the development of industrial lighting network application. By constructing the communication network of the station lighting system with the PROFIBUS communication protocol and designing the hardware circuit and software program of the system bottom with programmable controller technology; simultaneously, the proposed BP neural network algorithm in the control system can realise intelligent control. Simulating with MATLAB of green computing for multimedia big data, the result shows that the station green lighting control system has very important significance of energy saving and provide the passenger for healthy, comfortable environment.

Automation of Web Services Composition Development Cycle

Since the emergence of Service Oriented Architecture and its implementation with the Web services technology, combining several Web services to response to a complex request presented a hard challenge. This is an area that has attracted the interest of many research organizations and manufactories. This paper firstly presents a summary of developed approach of Web services composition based on Model Driven Approach, and using different languages and systems, like Multi-Agent Reactive Decisional system for modeling task, Lotos language for formal verification, and Business Process Execution language for implementation. Secondly, the paper seeks to automate the generation of different processes (business process, executable process and formal process) by using the framework AWSCPM «Automatic Web Services Composition Processes based on MARDS», which is developed as part of this research work.

Rest and Soap Comparison on Web Service Technology for Android Based Data Services

Comparison between ReST API and SOAP web services in providing data services that are carried out to support the improvement of these web services. The data tested is divided into 2, namely data with the same size format and data with different size formats. The test is divided into 3 stages, the first collecting with 10 data, the second 20 data, and the third 30 data, by carrying out data loading from each comparing web service. From the overall results obtained from the ReST API runs faster than SOAP. With an overall total data collection time on different devices with the same size format in the ReST API it produces 3.4 seconds and SOAP produces 3.9 seconds. While receiving data on different devices with different size formats on the ReST API, it takes 4.7 seconds and SOAP takes 5.3 seconds.

Advanced Cyberinfrastructure to Enable Search of Big Climate Datasets in THREDDS

Understanding the past, present, and changing behavior of the climate requires close collaboration of a large number of researchers from many scientific domains. At present, the necessary interdisciplinary collaboration is greatly limited by the difficulties in discovering, sharing, and integrating climatic data due to the tremendously increasing data size. This paper discusses the methods and techniques for solving the inter-related problems encountered when transmitting, processing, and serving metadata for heterogeneous Earth System Observation and Modeling (ESOM) data. A cyberinfrastructure-based solution is proposed to enable effective cataloging and two-step search on big climatic datasets by leveraging state-of-the-art web service technologies and crawling the existing data centers. To validate its feasibility, the big dataset served by UCAR THREDDS Data Server (TDS), which provides Petabyte-level ESOM data and updates hundreds of terabytes of data every day, is used as the case study dataset. A complete workflow is designed to analyze the metadata structure in TDS and create an index for data parameters. A simplified registration model which defines constant information, delimits secondary information, and exploits spatial and temporal coherence in metadata is constructed. The model derives a sampling strategy for a high-performance concurrent web crawler bot which is used to mirror the essential metadata of the big data archive without overwhelming network and computing resources. The metadata model, crawler, and standard-compliant catalog service form an incremental search cyberinfrastructure, allowing scientists to search the big climatic datasets in near real-time. The proposed approach has been tested on UCAR TDS and the results prove that it achieves its design goal by at least boosting the crawling speed by 10 times and reducing the redundant metadata from 1.85 gigabytes to 2.2 megabytes, which is a significant breakthrough for making the current most non-searchable climate data servers searchable.

Spatial data gathering architecture for precision farming using web services

Precision Farming (PF) is an agricultural business with an approach that enables careful treatment using several technologies to support it. The concept of PF can be used in all aspects of the crop production cycle from soil testing to harvesting. Soil Testing is a phase to test the conditions of the suitability of the soil to certain varieties. The land suitability variables used are soil type, slope, and altitude. However, the data was stored on other sources with different platforms and web service is the answer to this issue. This paper will approach the Soil Testing phase using the type of spatial data that can be used as a variable in determining land suitability for particular vegetation, which is using web service technology to collect the data. Using the overlay method combine the spatial, that is collected using Geographic Information System (GIS) web services, to produce a land suitable map for soil testing phrase. Land mapping can be used for decision-making processes related to the vegetation suitability. Spatial data gathering architecture for precision farming using web services, in this case, which is soil testing phrase, is the result of this paper.

Effective User Preference Clustering in Web Service Applications

Abstract The research on personalized recommendation of Web services plays an important role in the field of Web services technology applications. Fortunately, not all users have completely different service preferences. Due to the same application scenarios and personal interests, some users have the same preferences for certain types of Web services. This paper explores the problem of user clustering in the service environment, grouping users according to their service preferences. It helps service providers to identify and characterize the preferences of similar users and provide them with customized services. We propose two combination-based clustering algorithms which make full use of the advantages of the K-means algorithm and the affinity propagation algorithm. In addition, a three-stage clustering process is elaborated to improve the accuracy of user clustering. To reduce the time complexity of the algorithms, we create a parallel execution model of the algorithms implemented by a higher-order MapReduce sequence linking technology. Extensive experiments on simulated datasets and real datasets are performed on the comparisons between the proposed algorithms and the other combination-based clustering algorithms. The experimental results substantiate that the proposed algorithms can effectively distinguish user group with different preferences.

PENERAPAN KRIPTOGRAFI PADA REST API WEB SERVICE STUDI KASUS KAFA PHOTOGRAPHY

High business competition forces businesses to adapt to the needs of increasingly complex information systems. One of the market demands is the ease of conducting transactions that are mobile but still integrated with the company's overall information system. This challenge is also faced by a small business Kafa Photography engaged in the field of photography services for public. This business requires a data access system that is secure and supports multiple interfaces. Utilizing REST web service technology that can be used as a communication bridge between different access technologies can help the intended system integration. To improve the security of business process related information, it is necessary to add a cryptographic data mechanism. This research will develop a middleware utilizing the viginere cipher cryptographic method on REST-based web service services for the Kafa Photography business venture. The results of research in the form of web service architecture which are used as connectors between different applications, namely web and mobile that support business processes. To test the functionality and compatibility of the outcome, researcher use the Postman application tool and the prototype of mobile and web applications. The effectiveness and efficiency of derivative applications that use web services to improve services for Kafa Photography customers are not measured in this study.

Application of big data technology in agricultural Internet of Things

This article first analyzes big data technology. Then, the agricultural Internet of Things system was established, and the acquisition of agricultural data was achieved through the establishment of sensor modules, image acquisition modules, and meteorological acquisition modules. The data are transmitted to the server through GPRS communication technology and 3G network card to realize data transmission. The Web Service technology is used to connect the Internet of Things with the neural network model to achieve data interoperability. By comparing the prediction results and actual data of the model, it is found that the prediction error of the model designed in this article is less than 1%, and the high-precision prediction of agricultural data is realized, which provides an effective guidance for the improvement of agricultural product quality and yield.

CONCEPTUAL MODEL OF CITYGML RESTFUL WEB SERVICE

Abstract. A 3D city model is considered as the digital representation of a city that may decompose into its objects (such as buildings, roads, railways, terrain, water, vegetation etc.) with clearly defined semantics, spatial and thematic properties. Depending on the level of detail, these objects may further decompose into more detailed features. The OGC standard CityGML, optimally allows integration of the diversified geoinformation of the aforementioned elements and provides multiple resolutions at different levels of detail (LoDs). Retrieving information from this standard is a challenge, in terms of interoperability, implementing the Web Service Technology. Within this technology, this paper examines and presents the conceptual model of the CityGML RESTful Web Service regarding all main resources which are structured according to the ten thematic modules of CityGML, in all available LoDs.

Microservices and Machine Learning Algorithms for Adaptive Green Buildings

In recent years, the use of services for Open Systems development has consolidated and strengthened. Advances in the Service Science and Engineering (SSE) community, promoted by the reinforcement of Web Services and Semantic Web technologies and the presence of new Cloud computing techniques, such as the proliferation of microservices solutions, have allowed software architects to experiment and develop new ways of building open and adaptable computer systems at runtime. Home automation, intelligent buildings, robotics, graphical user interfaces are some of the social atmosphere environments suitable in which to apply certain innovative trends. This paper presents a schema for the adaptation of Dynamic Computer Systems (DCS) using interdisciplinary techniques on model-driven engineering, service engineering and soft computing. The proposal manages an orchestrated microservices schema for adapting component-based software architectural systems at runtime. This schema has been developed as a three-layer adaptive transformation process that is supported on a rule-based decision-making service implemented by means of Machine Learning (ML) algorithms. The experimental development was implemented in the Solar Energy Research Center (CIESOL) applying the proposed microservices schema for adapting home architectural atmosphere systems on Green Buildings.

Design and Analysis of Erp Integration for Pari Fish Leather Smes in Yogyakarta Using Web Service Technology

Small and Medium Enterprises (SMEs) usually have limited markets and raw materials, so they cannot do mass production. The purpose of Enterprise Resource Planning (ERP) in Jogjakarta Pari Fish Leather SMEs is to maintain consumers and increase the effectiveness of using raw materials by integrating data on the production (factory) and marketing (shop / branch) sections using the SOAP method and REST web service. The results achieved are data integration between the marketing and manufacturing departments using SOAP and REST Web Service, as well as an ERP information and monitoring system that displays functions such as: sales charts, best-selling products, buyer's charts, and buyer's regional charts.

The Android-based Student Progress Notifier Application at Universitas Klabat

In the world of education, it was found that there were students who had problems in terms of motivation and enthusiasm that were lacking in learning. Likewise the expectations of students get a high score, but get a less grade at the end of the semester. Of course there is a need to monitor the progress or achievement of each student. In this study the author uses Web service and Android technology which aims to build mobile applications with the Android platform, which can serve to help students monitor academic development. The development method used in this study is prototyping, which is a model process that makes the output of development a prototype. From the teacher's side the researchers used a Web platform using the Code Igniter framework with the Maria DB database. The programming language used in the study consists of php to handle from the teacher side, Java to handle the logic of the program from the student side. The tools used in this study are Android studio for handling Android applications, Sublime Text as a text editor to make it easier for writers to write programs, Emulator Genymotion as a virtual machine to conduct initial tests of Android applications, Mozilla Firefox for testing Web Applications. This research produces Android and Web applications that can assist students in monitoring learning progress, and lecturers or teachers in informing grades in class.

WEB SERVICE UNTUK INTEGRASI DATA MATERI PELAJARAN SEKOLAH MENENGAH PERTAMA (SMP) SECARA TERDISTRIBUSI

The National Education Standards Agency's (BSNP) curriculum requires in principle the active participation of students in collecting information from various media, including one on the Internet. The role of schools, especially teachers, in providing sources of materials is also very necessary. The Internet is one of the means of information essential to the learning process. Therefore, setting up a digital hardware service network can be an effective learning tool. Digital hardware services can be mutually integrated between schools to obtain a variety of physical resources. The existence of a web service can integrate subject data into each school and can provide distributed information to many providers and service users according to the needs of each user. The Web service is different from a search engine system that does not provide the necessary data integration on hardware service systems that connect data between schools to be distributed to users according to their needs. The web service technology that is built is able to integrate the subject's service material and can be distributed to many users with different needs.

Http Relay Binding (webHttpRelayBinding) and Crud Contract

The Broker Architecture became popular involving client and server. Representational State Transfer(REST) architecture is the architecture of World Wide Web. REST uses HTTP protocol based on Servlet and ASMX technology is replaced by WCF web service technology. SOAP and REST are two kinds of WCF web services. REST is lightweight compared to SOAP and hence emerged as the popular technology for building distributed applications in the cloud. In this paper, conducted by exposing a HTTP endpoint address, HTTP relay binding (webHttpRelayBinding) and CRUD contract through interface. The interface is decorated using WebGet and WebInvoke attributes. WCF configuration file created using XML tags for use with REST web service.

Adaptive and large-scale service composition based on deep reinforcement learning

In a service-oriented system, simple services are combined to form value-added services to meet users’ complex requirements. As a result, service composition has become a common practice in service computing. With the rapid development of web service technology, a massive number of web services with the same functionality but different non-functional attributes (e.g., QoS) are emerging. The increasingly complex user requirements and the large number of services lead to a significant challenge to select the optimal services from numerous candidates to achieve an optimal composition. Meanwhile, web services accessible via computer networks are inherently dynamic and the environment of service composition is also complex and unstable. Thus, service composition solutions need to be adaptable to the dynamic environment. To address these key challenges, we propose a new service composition scheme based on Deep Reinforcement Learning (DRL) for adaptive and large-scale service composition. The proposed approach is more suitable for the partially observable service environment, making it work better for real-world settings. A recurrent neural network is adopted to improve reinforcement learning, which can predict the objective function and enhance the ability to express and generalize. In addition, we employ the heuristic behavior selection strategy, in which the state set is divided into the hidden and fully observable state sets, to perform the targeted behavior selection strategy when facing with different types of states. The experimental results justify the effectiveness and efficiency, scalability, and adaptability of our methods by showing obvious advantages in composition results and efficiency for service composition.