Web Service Interface Research Articles

Fully Functional Shopping Mall Application – ShopVista

In today's fast-paced world, shopping has become an integral part of daily life for most individuals. However, the demands of busy lifestyles have left limited time for this essential activity, prompting a quest for quicker and more convenient shopping solutions. Shoppers encounter a range of challenges, including uncertainty about product availability, navigating extensive shopping malls, and occasionally forgetting intended purchases. To address these issues, this paper introduces a comprehensive shopping mall application that offers a solution to modern shopping dilemmas. The proposed application offers a wealth of features, including detailed information about every shop within a mall, real-time updates on product availability, the ability to create and manage customer wish lists, and an interactive mall map. This multifaceted system comprises a mobile application designed for the Android platform and a robust server-side module serving as the central database connecting customers and shop owners. Additionally, there is a web service interface that allows administrators to efficiently manage functions within this system. This research paper outlines the conceptualization, development, and implementation of this cutting-edge shopping mall application. By addressing the challenges faced by today's shoppers and harnessing the power of technology, the proposed solution seeks to enhance the shopping experience, offering both shoppers and mall operators a modern and efficient means of engagement.

HMS-REST v1.0: A plugin for the HEC-HMS model to provide RESTful services

Web technologies facilitating location-independent participation and broad knowledge sharing are critically important for open science and participative management and decision-making. Therefore, it is crucial to enable hydrological models to run in a web environment. In this study, a representational state transfer (REST) interface is proposed for the Hydrologic Engineering Center Hydrologic Modeling System (HEC-HMS) model. The web service interface (named HMS-REST) was built based on the Java API and Jython script system of HEC-HMS. HMS-REST allows users to retrieve and write model inputs and outputs and perform model execution. These functionalities were evaluated via a case study of pseudoensemble flood forecasting using a data set of six historical flood events from the Chuanchang watershed, southeastern China. Satisfactory performance was achieved in pseudoensemble flood forecasting in terms of the peak flow, total flood volume, peak flow timing and overall hydrograph fitting. This case study indicates that HMS-REST and HEC-HMS can be effectively integrated and demonstrates that the use of HEC-HMS with a web-based interface can facilitate pragmatic applications of the HEC-HMS model in the fields of model calibration, flood simulation and forecasting, and participatory decision-making.

Научно-методические основы подготовки пользовательского интерфейса картографического веб-сервиса на примере данных геологоразведочных работ

The use of web services as a means of accessing thematic geodata can enable improving the support of increasing cameral exploration works related to clarification of poorly explored areas’ geological structure, old oil and gas provinces and complexes with hard-to-extract and unconventional hydrocarbons. The author considers the methodological foundations for preparing web services` graphical user interface. The graph for defining the functional purpose of geodata and its processing method at creating the content is proposed. Guidelines are given to choose the scale level, base and dynamic layers content for the primary web-mapping image depending on the exploration stage and area of interest location. Examples of possible web-service interface structures illustrating the character of web-pages interaction inside a web-service are considered. To formalize the choice of the structure the decision graph was developed depending on the number of survey sites, requirements for publishing thematic geodata on one or more web pages, as well as the need for an initial one as a common window of access to information for individual working groups of specialists. Approbation of web-services, developed on the considered methodological principles, was carried out in the production process of the industrial branch arrangement. The results allowed supplementing the capabilities of specialized software system, reducing the time spent by specialists on comparing different sources of data in a single geo-information space. The proposed solutions can be used at making web-services for other topics

Classification and Analysis of Static Metric Based Antipattern Detection in Service Computing

Background: Design Pattern is regarded as an essential component for enhancement of system design which can further improve the reusability and maintainability whereas antipattern degrades the quality of the program. Antipatterns are sub-optimal implementation choices which initially appears to be a good concept but later on leads to low code maintainability and higher maintenance costs. Objective: The identification of antipatterns which lead to performance degradation plays an important role in the reduction of expensive work and cost involved in maintenance, redesign, reimplementation, and redeployment. The main motivation is to refactor the source code in order to reduce maintenance efforts. Antipatterns impact reliability, testability and maintainability, but they still lack clear identification because of different interpretations and definition of each antipattern. There is a need for a benchmark to analyze the result generated by antipatterns. Methods: Static and dynamic analysis individually do not suffice for antipattern .A hybrid approach is proposed by combining rule based static analysis with dynamic run time analysis. Before applying the hybrid approach a simple manual validation was done to exclude the type of input which had the least probability of containing antipattern. The approach aims at optimizing the results by inclusion of response time metric measure which can be evaluated at runtime execution of the web service. Results and Conclusion: : The paper focusses on detection of antipatterns from web services based on code level and interface level static metrics .Only a brief overview of dynamic approach for detection is proposed. The future scope of this paper will focus on detection of antipattern based on more number of dynamic metrics and also a comparative analysis of the results generated from static, dynamic and hybrid approach.

Web Service for Academic Information Systems

This research has the goal of creating an academic information system based on web service or Application Programming Interface (API). We use API, so that information systems are easily accessed and applied to cross platforms such as websites, desktop applications, mobile applications, and others. The descriptive analysis method was used in this study to analyze the requirements contained in the built system. Other than that, we used the waterfall method as a model approach in software development. The final results of this study can help in the management of academic data. These results can be achieved because all information is processed and presented online and accessed through cross platforms. Besides, if universities are advanced, this system is more comfortable to develop because it uses the API. Hopefully, this research result can contribute to the Ministry of Research, Technology, and Higher Education data management regulation.

Implementation of Internet of Public Fitness Equipment for Health Physical Fitness Improvement

In this paper, an IoT architecture for public fitness equipment, internet of public fitness equipment, with software and hardware is proposed and implemented. We utilize reed switch and MCU with WiFi module to implement IoT hardware on public fitness equipment. Furthermore, we also implement web service, database and user interface which provide thorough individual exercise prescription and monitor service. From the experimental results, all the participants' physical fitness does improve significantly. It shows that our internet of public fitness equipment can significantly improve body health by providing an efficient exercise way.

Production Operations Management System (POMS) for Fermilab Experiments

The Production Operations Management System (POMS) software allows production teams and analysis groups across multiple Fermilab experiments to launch, modify and monitor large scale campaigns of related Monte Carlo or data processing jobs, and currently manages the majority of production computing of experiments at Fermilab. POMS provides a web service interface that enables automated job submission on distributed resources according to customers’ requests, as well as subsequent monitoring of those submissions as well as recovery of failed submissions, debugging and record keeping. POMS interfaces with existing HEP data access, processing, movement and monitoring tools at Fermilab, including Jobsub (for job submission), SAM (for data management), and Landscape (for monitoring), and in combination with them handles the creation of intermediate datasets of files for multistage campaigns. POMS visualizes these campaigns with an interactive GUI interface. An important feature of POMS is a one-to-one connection between the GUI campaign visualizer and a text based representation of the complete campaign configuration. An extensible library of template campaign configurations is available. The templates are user modifiable and map cleanly to and from the GUI description of the campaign. This paper will discuss the current usage, history, and some technical details of POMS, as well as planned future extensions, particularly interfacing with Rucio as well as SAM for file movement.

Implementation of capability matchmaking software facilitating faster production system design and reconfiguration planning

Smart manufacturing calls for rapidly responding production systems which help the manufacturing companies to operate efficiently in a highly dynamic environment. Currently, the system design and reconfiguration planning are manual processes which rely heavily on the designers’ expertise and tacit knowledge to find feasible system configuration solutions by comparing the characteristics of the product to the technical properties of the available resources. Rapid responsiveness requires new computer-aided intelligent design and planning solutions that would reduce the time and effort put into system design, both in brownfield and greenfield scenarios. This article describes the implementation of a capability matchmaking approach and software which automatizes the matchmaking between product requirements and resource capabilities. The interaction of the matchmaking system with external design and planning tools, through its web service interface, is explained and illustrated with a case example. The proposed matchmaking approach supports production system design and reconfiguration planning by providing automatic means for checking if the existing system already fulfils the new product requirements, and/or for finding alternative resources and resource combinations for specific product requirements from large search spaces, e.g. from global resource catalogues.

PUG-View: programmatic access to chemical annotations integrated in PubChem

PubChem is a chemical data repository that provides comprehensive information on various chemical entities. It contains a wealth of chemical information from hundreds of data sources. Programmatic access to this large amount of data provides researchers with new opportunities for data-intensive research. PubChem provides several programmatic access routes. One of these is PUG-View, which is a Representational State Transfer (REST)-style web service interface specialized for accessing annotation data contained in PubChem. The present paper describes various aspects of PUG-View, including the scope of data accessible through PUG-View, the syntax for formulating a PUG-View request URL, the difference of PUG-View from other web service interfaces in PubChem, and its limitations and usage policies.

تصميم وتنفيذ شفرة تتبع لمنتجات التمور طبقا لنظام الترميز UCC / EAN-128

Recently, the food safety issue of agricultural products has attracted focus all over the world. Due to a long supply chain compared with the animal or other kinds of products and the complex processes with huge links. The Food safety traceability system (FTS) is an effective way to verify of food safety and healthy. This research was designed and implemented traceability barcode for an agricultural product (Dates) followed the common encoding scheme (UCC/EAN128) with enhancing by added human readable information about the most significant data for the end consumer such as expire and production date. The proposed system takes DTS barcode as an information carrier which identifies dates products closely related to farming, processing, packing, transportation and distributing. DTS adopts on Web Service Technology for tracing and extracting all information related to the date product using barcode. Customers can scan or typing the barcode in the system website. The Web Service interface provided by DTS will return all traceability information to the end consumer. Using the proposed code has proved by practice that it can extract all information in high accurate level as well as acceptance from the end consumer because important information is written in a language he/she understands.

基于网络服务接口的NetCDF文件发布技术研究

基于网络服务接口的NetCDF文件发布技术研究

Web-based solution to automate capability matchmaking for rapid system design and reconfiguration

Modern manufacturing companies desire rapid responsiveness from their production systems, in order to operate efficiently in highly dynamic environments. There is a need for design tools, which can support production system design and reconfiguration by providing automatic matchmaking between product requirements and resource capabilities. Such matchmaking is currently time consuming and heavily dependent upon designer’s experience. This paper introduces a prototype of a web-based software service, which carries out this matchmaking task automatically, and how it is designed to meet the requirements of manufacturing industry. Software engineering process has been followed for the development. We also describe a case example, which illustrates how the production system designer can interact with matchmaking activity through its web service interface. We expect that web service-based approach to matchmaking will reduce the technical barrier for adoption by the manufacturing industry as existing planning and reconfiguration systems can utilize the service with small efforts.

A Hybrid Approach for Improving the Design Quality of Web Service Interfaces

A key success of a Web service is to appropriately design its interface to make it easy to consume and understand. In the context of service-oriented computing (SOC), the service’s interface is the main source of interaction with the consumers to reuse the service functionality in real-world applications. The SOC paradigm provides a collection of principles and guidelines to properly design services to provide best practice of third-party reuse. However, recent studies showed that service designers tend to pay little care to the design of their service interfaces, which often lead to several side effects known as antipatterns . One of the most common Web service interface antipatterns is to expose a large number of semantically unrelated operations, implementing different abstractions, in one single interface. Such bad design practices may have a significant impact on the service reusability, understandability, as well as the development and run-time characteristics. To address this problem, in this article, we propose a hybrid approach to improve the design quality of Web service interfaces and fix antipatterns as a combination of both deterministic and heuristic-based approaches. The first step consists of a deterministic approach using a graph partitioning-based technique to split the operations of a large service interface into more cohesive interfaces, each one representing a distinct abstraction. Then, the produced interfaces will be checked using a heuristic-based approach based on the non-dominated sorting genetic algorithm (NSGA-II) to correct potential antipatterns while reducing the interface design deviation to avoid taking the service away from its original design. To evaluate our approach, we conduct an empirical study on a benchmark of 26 real-world Web services provided by Amazon and Yahoo. Our experiments consist of a quantitative evaluation based on design quality metrics, as well as a qualitative evaluation with developers to assess its usefulness in practice. The results show that our approach significantly outperforms existing approaches and provides more meaningful results from a developer’s perspective.

Processing of big heterogeneous genomic datasets for tertiary analysis of Next Generation Sequencing data.

We previously proposed a paradigm shift in genomic data management, based on the Genomic Data Model (GDM) for mediating existing data formats and on the GenoMetric Query Language (GMQL) for supporting, at a high level of abstraction, data extraction and the most common data-driven computations required by tertiary data analysis of Next Generation Sequencing datasets. Here, we present a new GMQL-based system with enhanced accessibility, portability, scalability and performance. The new system has a well-designed modular architecture featuring: (i) an intermediate representation supporting many different implementations (including Spark, Flink and SciDB); (ii) a high-level technology-independent repository abstraction, supporting different repository technologies (e.g., local file system, Hadoop File System, database or others); (iii) several system interfaces, including a user-friendly Web-based interface, a Web Service interface, and a programmatic interface for Python language. Biological use case examples, using public ENCODE, Roadmap Epigenomics and TCGA datasets, demonstrate the relevance of our work. The GMQL system is freely available for non-commercial use as open source project at: http://www.bioinformatics.deib.polimi.it/GMQLsystem/. Supplementary data are available at Bioinformatics online.

An update on PUG-REST: RESTful interface for programmatic access to PubChem.

PubChem (https://pubchem.ncbi.nlm.nih.gov) is one of the largest open chemical information resources available. It currently receives millions of unique users per month on average, serving as a key resource for many research fields such as cheminformatics, chemical biology, medicinal chemistry, and drug discovery. PubChem provides multiple programmatic access routes to its data and services. One of them is PUG-REST, a Representational State Transfer (REST)-like web service interface to PubChem. On average, PUG-REST receives more than a million requests per day from tens of thousands of unique users. The present paper provides an update on PUG-REST since our previous paper published in 2015. This includes access to new kinds of data (e.g. concise bioactivity data, table of contents headings, etc.), full implementation of synchronous fast structure search, support for assay data retrieval using accession identifiers in response to the deprecation of NCBI’s GI numbers, data exchange between PUG-REST and NCBI’s E-Utilities through the List Gateway, implementation of dynamic traffic control through throttling, and enhanced usage policies. In addition, example Perl scripts are provided, which the user can easily modify, run, or translate into another scripting language.

A Neuroimaging Web Services Interface as a Cyber Physical System for Medical Imaging and Data Management in Brain Research: Design Study

BackgroundStructural and functional brain images are essential imaging modalities for medical experts to study brain anatomy. These images are typically visually inspected by experts. To analyze images without any bias, they must be first converted to numeric values. Many software packages are available to process the images, but they are complex and difficult to use. The software packages are also hardware intensive. The results obtained after processing vary depending on the native operating system used and its associated software libraries; data processed in one system cannot typically be combined with data on another system.ObjectiveThe aim of this study was to fulfill the neuroimaging community’s need for a common platform to store, process, explore, and visualize their neuroimaging data and results using Neuroimaging Web Services Interface: a series of processing pipelines designed as a cyber physical system for neuroimaging and clinical data in brain research.MethodsNeuroimaging Web Services Interface accepts magnetic resonance imaging, positron emission tomography, diffusion tensor imaging, and functional magnetic resonance imaging. These images are processed using existing and custom software packages. The output is then stored as image files, tabulated files, and MySQL tables. The system, made up of a series of interconnected servers, is password-protected and is securely accessible through a Web interface and allows (1) visualization of results and (2) downloading of tabulated data.ResultsAll results were obtained using our processing servers in order to maintain data validity and consistency. The design is responsive and scalable. The processing pipeline started from a FreeSurfer reconstruction of Structural magnetic resonance imaging images. The FreeSurfer and regional standardized uptake value ratio calculations were validated using Alzheimer’s Disease Neuroimaging Initiative input images, and the results were posted at the Laboratory of Neuro Imaging data archive. Notable leading researchers in the field of Alzheimer’s Disease and epilepsy have used the interface to access and process the data and visualize the results. Tabulated results with unique visualization mechanisms help guide more informed diagnosis and expert rating, providing a truly unique multimodal imaging platform that combines magnetic resonance imaging, positron emission tomography, diffusion tensor imaging, and resting state functional magnetic resonance imaging. A quality control component was reinforced through expert visual rating involving at least 2 experts.ConclusionsTo our knowledge, there is no validated Web-based system offering all the services that Neuroimaging Web Services Interface offers. The intent of Neuroimaging Web Services Interface is to create a tool for clinicians and researchers with keen interest on multimodal neuroimaging. More importantly, Neuroimaging Web Services Interface significantly augments the Alzheimer’s Disease Neuroimaging Initiative data, especially since our data contain a large cohort of Hispanic normal controls and Alzheimer’s Disease patients. The obtained results could be scrutinized visually or through the tabulated forms, informing researchers on subtle changes that characterize the different stages of the disease.

An open-source, integrated pedigree data management and visualization tool for genetic epidemiology.

With advances in genetic epidemiology, increasingly large amounts of pedigree-related information are being collected by family studies, including twin studies. To date, biomedical data management systems that cater for family data have usually done so as part of their standard (non-family-centric) data model. Consequently, data managers with computing expertise are needed to extract family datasets and perform family-centric operations. We present a robust approach to handling large family datasets. Our approach is implemented as a new module which extends the capabilities of The Ark, an open-source web-based biomedical data management tool. Using an algorithm designed by the authors, the pedigree module dynamically infers family relationships for any selected subject (not necessarily the proband). A web interface allows researchers to create, update, delete and navigate parental and twin relationships between subjects, and bulk import/export pedigrees. Consanguineous relationships can be captured, and configurable pedigree visualizations generated. A web services interface provides interoperability.

Improving Utility of GPU in Accelerating Industrial Applications With User-Centered Automatic Code Translation

Small to medium enterprises (SMEs), particularly those whose business is focused on developing innovative produces, are limited by a major bottleneck in the speed of computation in many applications. The recent developments in GPUs have been the marked increase in their versatility in many computational areas. But due to the lack of specialist GPUprogramming skills, the explosion of GPU power has not been fully utilized in general SME applications by inexperienced users. Also, the existing automatic CPU-to-GPU code translators are mainly designed for research purposes with poor user interface design and are hard to use. Little attentions have been paid to the applicability, usability, and learnability of these tools for normal users. In this paper, we present an online automated CPU-to-GPU source translation system (GPSME) for inexperienced users to utilize the GPU capability in accelerating general SME applications. This system designs and implements a directive programming model with a new kernel generation scheme and memory management hierarchy to optimize its performance. A web service interface is designed for inexperienced users to easily and flexibly invoke the automatic resource translator. Our experiments with nonexpert GPU users in four SMEs reflect that a GPSME system can efficiently accelerate real-world applications with at least 4× and have a better applicability, usability, and learnability than the existing automatic CPU-to-GPU source translators.

SDN‐based fault‐tolerant on‐demand and in‐advance bandwidth reservation in data center interconnects

SummaryGeographically distributed data centers are interconnected through provisioned dedicated WAN links, realized by circuit/wavelength–switching that support large‐scale data transfer between data centers. These dedicated WAN links are typically shared by multiple services through on‐demand and in‐advance resource reservations, resulting in varying bandwidth availability in future time periods. Such an inter‐data center network provides a dynamic and virtualized environment when augmented with cloud infrastructure supporting end‐host migration. In such an environment, dynamically provisioned network resources are recognized as extremely useful capabilities for many types of network services. However, the existing approaches to in‐advance reservation services provide limited reservation capabilities, eg, limited connections over links returned by the traceroute over traditional IP‐based networks. Moreover, most existing approaches do not address fault tolerance in the event of node or link failures and do not handle end‐host migrations; thus, they do not provide a reliability guarantee for in‐advance reservation frameworks. In this paper, we propose using multiple paths to increase bandwidth usage in the WAN links between data centers when a single path does not provide the requested bandwidth. Emulation‐based evaluations of the proposed path computation show a higher reservation acceptance rate compared to state‐of‐art reservation frameworks, and such computed paths can be configured with a limited number of static forwarding rules on switches. Our prototype provides the RESTful Web service interface for link‐fail and end‐host migration event management and reroutes paths for all the affected reservations.

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.