scholarly journals SOADIWA: A Service-oriented Architecture for Data Interoperability in Web Applications

2019 ◽  
pp. 1-15
Author(s):  
Yusuf Lateef Oladimejia
Keyword(s):  
Quality Of Service ◽  
Web Service ◽  
Web Application ◽  
Web Applications ◽  
Service Oriented Architecture ◽  
Essential Elements ◽  
Data Interoperability ◽  
Service Oriented ◽  
Quality Of Service Assurance

The realisation of Service-Oriented Architecture (SOA) to communicate data between systems running on different platforms lack an organised framework to capture the essential elements required for successful interoperability between web applications and their services. In this work, a SOA for Data Interoperability in Web Applications (SOADIWA) was designed. The architecture of SOADIWA was based on five layers, namely Web Application Layer (WAL), Quality of Service Assurance Certifier Layer (QoSACL), Web Service Layer (WSL), Visualization Input Layer (VIL) and Visualization Output Layer (VOL). In WAL, the Service Requester (SR) initiates a request for data from the Service Provider (SP) through the QoSACL to provide appropriate website via WSL for rendering of services which must be accepted, processed and returned for a particular need in VIL. The requested data is filtered in VIL for data exploration and analysis in VOL using context-sensitive visualization techniques. The purpose of QoSACL is to check and verify the claims made by the SP about its quality of service. This enabled the SR to choose the service that satisfied its needs. The implementation comprised of Java Script, Microsoft Visual Studio 2017 and NuGet packages; while the experiment was simulated on LoadUI pro application. Standard metrics such as Optimal Performance (OP) and Phased Effort Distribution (PED) were developed to test SOADIWA. These results conformed to basic web service interoperability. The work led to the integration of a host of techniques towards the creation of a novel tool that is useful in web domain using SOA approach.

QoS Constrains Model: Establishing QoS Association for Ontology-Based Web Service Selection Mechanism

2006 ◽  
Vol 10 (5) ◽  
pp. 705-712
Author(s):  
Laila Taher ◽  
◽  
Rawshan Basha ◽  
Hazem El Khatib ◽  
◽  
...  
Keyword(s):  
Quality Of Service ◽  
Web Service ◽  
Service Oriented Architecture ◽  
Service Selection ◽  
Important Criterion ◽  
Selection Mechanism ◽  
Web Service Selection ◽  
Service Oriented ◽  
Constraints Model

Quality of Service (QoS) is an important criterion for Web service selection. The work in this paper is based on QoS Information & Computation framework (QoS-IC) [1]. QoS-IC framework supports QoS-based service selection in Service Oriented Architecture (SOA), namely Web services. In this paper, we extend the functionality of QoS-IC framework with QoS-Constraints Model. QoS-Constraints establish an association relationship between different QoS properties and are used to govern the QoS-based service selection in the underlying algorithm. We have enhanced the algorithm to accommodate QoS-Constraints and discussed an experimental evaluation based on an implementation prototype that shows how QoS-Constraints introduce efficiency to the QoS-based service selection mechanism and save valuable time for consumers.

scholarly journals Quality Prediction of Web Services Based on a Covering Algorithm

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-17
Author(s):  
Ying Jin ◽  
Guangming Cui ◽  
Yiwen Zhang
Keyword(s):  
Web Services ◽  
Web Service ◽  
Service Oriented Architecture ◽  
Quality Prediction ◽  
Important Research ◽  
Novel Approach ◽  
Target User ◽  
Service Oriented ◽  
Better Than

Service-oriented architecture (SOA) is widely used, which has fueled the rapid growth of Web services and the deployment of tremendous Web services over the last decades. It becomes challenging but crucial to find the proper Web services because of the increasing amount of Web services. However, it proves unfeasible to inspect all the Web services to check their quality values since it will consume a lot of resources. Thus, developing effective and efficient approaches for predicting the quality values of Web services has become an important research issue. In this paper, we propose UIQPCA, a novel approach for hybrid User and Item-based Quality Prediction with Covering Algorithm. UIQPCA integrates information of both users and Web services on the basis of users’ ideas on the quality of coinvoked Web services. After the integration, users and Web services which are similar to the target user and the target Web service are selected. Then, considering the result of integration, UIQPCA makes predictions on how a target user will appraise a target Web service. Broad experiments on WS-Dream, a web service dataset which is widely used in real world, are conducted to evaluate the reliability of UIQPCA. According to the results of experiment, UIQPCA is far better than former approaches, including item-based, user-based, hybrid, and cluster-based approaches.

Secure and quality-of-service-supported service-oriented architecture for mobile cloud handoff process

2017 ◽  
Vol 66 ◽  
pp. 169-184 ◽  
Author(s):  
Abdul Razaque ◽  
Syed S. Rizvi ◽  
Meer J. Khan ◽  
Qassim B. Hani ◽  
Julius P. Dichter ◽  
...  
Keyword(s):  
Quality Of Service ◽  
Service Oriented Architecture ◽  
Mobile Cloud ◽  
Service Oriented

scholarly journals QoS Measurement of Workflow-Based Web Service Compositions Using Colored Petri Net

2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Hossein Nematzadeh ◽  
Homayun Motameni ◽  
Radziah Mohamad ◽  
Zahra Nematzadeh
Keyword(s):  
Web Services ◽  
Web Service ◽  
Petri Net ◽  
Process Model ◽  
Service Oriented Architecture ◽  
Colored Petri Net ◽  
Service Oriented ◽  
Business Process Execution ◽  
And Performance

Workflow-based web service compositions (WB-WSCs) is one of the main composition categories in service oriented architecture (SOA). Eflow, polymorphic process model (PPM), and business process execution language (BPEL) are the main techniques of the category of WB-WSCs. Due to maturity of web services, measuring the quality of composite web services being developed by different techniques becomes one of the most important challenges in today’s web environments. Business should try to provide good quality regarding the customers’ requirements to a composed web service. Thus, quality of service (QoS) which refers to nonfunctional parameters is important to be measured since the quality degree of a certain web service composition could be achieved. This paper tried to find a deterministic analytical method for dependability and performance measurement using Colored Petri net (CPN) with explicit routing constructs and application of theory of probability. A computer tool called WSET was also developed for modeling and supporting QoS measurement through simulation.

Improved Airport Enterprise Service Bus with Self-Healing Architecture (IAESB-SH)

2011 ◽  
pp. 223-240
Author(s):  
Issam Al Hadid
Keyword(s):  
Web Service ◽  
Service Oriented Architecture ◽  
The Self ◽  
Legacy Systems ◽  
Self Healing ◽  
Enterprise Service Bus ◽  
Information Accessibility ◽  
Healing Agent ◽  
Service Oriented

This chapter introduces the different aviation and airport Information Technology systems. Also, this chapter provides architecture based on the Service Oriented Architecture (SOA) that improves the information accessibility and sharing across the different airport departments, integrating the existing legacy systems with other applications, and improving and maximizing the system’s reliability, adaptability, robustness, and availability using the self-healing agent and virtual Web service connector to guarantee the quality of service (QoS).

A quality-controlled logic-based clustering approach for web service composition and verification

2017 ◽  
Vol 13 (2) ◽  
pp. 173-198 ◽  
Author(s):  
Khai Tan Huynh ◽  
Tho Thanh Quan ◽  
Thang Hoai Bui
Keyword(s):  
Web Service ◽  
Service Oriented Architecture ◽  
Real Life ◽  
Low Complexity ◽  
Agglomerative Clustering ◽  
Content Type ◽  
Hierarchical Agglomerative Clustering ◽  
Service Oriented ◽  
Clustering Approach

Purpose Service-oriented architecture is an emerging software architecture, in which web service (WS) plays a crucial role. In this architecture, the task of WS composition and verification is required when handling complex requirement of services from users. When the number of WS becomes very huge in practice, the complexity of the composition and verification is also correspondingly high. In this paper, the authors aim to propose a logic-based clustering approach to solve this problem by separating the original repository of WS into clusters. Moreover, they also propose a so-called quality-controlled clustering approach to ensure the quality of generated clusters in a reasonable execution time. Design/methodology/approach The approach represents WSs as logical formulas on which the authors conduct the clustering task. They also combine two most popular clustering approaches of hierarchical agglomerative clustering (HAC) and k-means to ensure the quality of generated clusters. Findings This logic-based clustering approach really helps to increase the performance of the WS composition and verification significantly. Furthermore, the logic-based approach helps us to maintain the soundness and completeness of the composition solution. Eventually, the quality-controlled strategy can ensure the quality of generated clusters in low complexity time. Research limitations/implications The work discussed in this paper is just implemented as a research tool known as WSCOVER. More work is needed to make it a practical and usable system for real life applications. Originality/value In this paper, the authors propose a logic-based paradigm to represent and cluster WSs. Moreover, they also propose an approach of quality-controlled clustering which combines and takes advantages of two most popular clustering approaches of HAC and k-means.

Performance Modeling for Quality of Service Prediction in Service-Oriented Systems

2012 ◽  
pp. 258-279
Author(s):  
Christoph Rathfelder ◽  
Benjamin Klatt ◽  
Franz Brosch ◽  
Samuel Kounev
Keyword(s):  
Quality Of Service ◽  
Service Oriented Architecture ◽  
Service Selection ◽  
Quality Prediction ◽  
Critical Systems ◽  
Management Framework ◽  
Service Oriented ◽  
Prediction Techniques ◽  
Event Based

With the introduction of services, systems become more flexible as new services can easily be composed out of existing services. Services are increasingly used in mission-critical systems and applications, and therefore, considering Quality of Service (QoS) properties is an essential part of the service selection. Quality prediction techniques support the service provider in determining possible QoS levels that can be guaranteed to a customer or in deriving the operation costs induced by a certain QoS level. In this chapter, we present an overview on our work on modeling service-oriented systems for performance prediction using the Palladio Component Model. The prediction builds upon a model of a service-based system, and evaluates this model in order to determine the expected service quality. The presented techniques allow for early quality prediction, without the need for the system being already deployed and operating. We present the integration of our prediction approach into an SLA management framework. The emerging trend to combine event-based communication and Service-Oriented Architecture (SOA) into Event-based SOA (ESOA) induces new challenges to our approach, which are topic of a special subsection.

Web Service Composition, Optimization and the Implications for Developing Economies

2012 ◽  
pp. 57-78
Author(s):  
Adenike Osofisan ◽  
Idongesit E. Eteng ◽  
Iwara Arikpo ◽  
Abel Usoro
Keyword(s):  
Quality Of Service ◽  
Web Services ◽  
Web Service ◽  
Service Composition ◽  
Developing Economies ◽  
Web Service Composition ◽  
Theoretic Approach ◽  
Computing Paradigm ◽  
Service Oriented

The emergence of the Service Oriented computing paradigm with its implicit inclusion of web services has caused a precipitous revolution in software engineering, e-service compositions, and optimization of e-services. Web service composition requests are usually combined with end-to-end Quality of Service (QoS) requirements, which are specified in terms of non-functional properties e.g. response time, throughput, and price. This chapter describes what web services are; not just to the web but to the end users. The state of the art approaches for composing web services are briefly described and a novel game theoretic approach using genetic programming for composing web services in order to optimize service performance, bearing in mind the Quality of Service (QoS) of these web services, is presented. The implication of this approach to cloud computing and economic development of developing economies is discussed.

Enhancing Web Service Discovery and Monitoring with Quality of Service Information

2008 ◽  
pp. 345-363 ◽  
Author(s):  
Christian Platzer ◽  
Florian Rosenberg ◽  
Schahram Dustdar
Keyword(s):  
Quality Of Service ◽  
Web Service ◽  
Service Discovery ◽  
Evaluation Tool ◽  
Additional Information ◽  
Service Information ◽  
Strong Focus ◽  
Service Oriented ◽  
Client Side

Web services provide a fundamental technology for developing service-oriented systems by leveraging platform-independent interface descriptions (WSDL) and a flexible message encoding (SOAP). Beside the functional description, Quality of Service (QoS) issues are currently not part of the Web service standards stack, although they provide valuable metadata of a Web service such as performance, dependability, security or cost and payment. This additional information can be used to greatly enhance service discovery, selection and composition. As a result of the latest research that is dedicated to this area, this chapter deals with the various ways of describing, bootstrapping and evaluating QoS attributes. A strong focus is laid on client-side QoS assessment and the arising problems. Furthermore, a method to analyze Web service interactions by using our evaluation tool and extract important QoS information without any knowledge about the service implementation will be presented and thoroughly explained. Usually, taking performance measures for a specific Web service requires access to the service implementation or at least the server machine where it is hosted. This chapter will address a way to bootstrap the most important performance and dependability values form the client’s perspective and therefore overcoming these restrictions.

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