AN ENHANCED METHOD TO COMPOSE BUSINESS PROCESS WEB SERVICES USING BPEL AND OPTIMIZED QoS PARAMETERS - Abstract and Method Overview

Sep 12, 2026

Web services are reusable software components that satisfy consumer requirements expressed as business process needs and technical constraints. This paper enhances dynamic Web service composition in BPEL by improving the invocation model, adding service selection and refining, and introducing fault tolerance for QoS global optimization under constraints. An improved grading approach is used to design and realize an algorithm that reaches optimal QoS global outcomes more quickly than the traditional model. The method selects a runtime subset of services from candidate pools to orchestrate composite services efficiently.

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INTRODUCTION

RELATED WORK

METHODOLOGY

The Service Selection Algorithm With QoS Global Optimization

AN ENHANCED METHOD TO COMPOSE BUSINESS PROCESS WEB SERVICES USING BPEL AND OPTIMIZED QoS PARAMETERS J. Ghayathri1, S. Pannirselvam2 1Associate Professor in Computer Science (PG), Kongu Arts and Science College (Autonomous), Erode TamilNadu, India. 2Head & Associate Professor in Computer Science Erode Arts and Science College (Autonomous), Erode, Tamilnadu, India Abstract Web services are reusable software components available across the web. These web services fulfill the requirements of the consumers in the form of business process requirements, software and technical requirements and other personal requirements. In order to achieve BPEL (Business Process Execution Language) process's QoS (Quality of Service) global optimization on dynamic Web service composition, the traditional dynamic Web service invocation model of BPEL process is enhanced and the service selection, refining and fault tolerance is added. Meanwhile, by improving the grading method, the paper designs and realizes the algorithm, whose result is the global optimization on QoS under the constraints. Through the comparison, the conclusion is that the optimal solution can be found more quickly by the improved algorithms and the business process's QoS global optimization under the constraints can be achieved by the modified model. This paper aims to determine a subset of web services from the candidate services to be invoked at run-time so as to successfully and efficiently orchestrate a composite web service. Keywords: Qos, Optimization, Refining, WSDL, Business Process, Process Template And BPEL. *** 1. INTRODUCTION Today web services being deployed are distributed process that process XML (eXtensible Markup Language) encoded SOAP (Simple Object Access Protocol) messages sent over [HTTP](HTTP)(Hypertext Transfer Protocol) and described using WSDL(Web Services Description Language) . As the web services are loosely coupled software components, they are published, located, and invoked across the web. A web service comprises of several operations like web service creation, publishing, discovering, locating, and passing messages. Each operation in the architecture of web services takes a SOAP package containing a list of input parameters, fulfills a certain task, and returns the result in an output SOAP package. Large enterprises are increasingly relying on web services as methodology for large-scale software development and sharing of services within and outside the organization. Today many applications are being built by piecing together web services published by thirdparty producers. The growing number of web services available within an organization and on the web raises anew and challenging search problem that locating desired web services. The rapid growth of web services in all areas makes the user difficult to select the right required service. 2. RELATED WORK Erdogan Dogdu, Omer Mescigil implements ActiveBPEL which allows users to specify QoS parameters and uses service selection algorithms on a working BPEL-based execution engine to select appropriate service providers during run-time, so that it improves the engine performance towards higher system throughputs [2]. Sheng SU, Haijie YU proposes a method to compute the cost and values of QoS criteria for concrete composition service with different operation relations. The authors [5] use a genetic algorithm with two layer genes to solve the composition serviceselection problem. Jean M. Bacon, Brian F. Cooper present an service selection algorithm for QoS-aware composition in dynamic service environments which overcomes the shortfalls like adaptive service composition and time availability for service selection and composition[4]. Junhao WEN et al. describes about the dynamic web services composition using QoS global optimization in BPEL and proved the efficiency of work using an improved branch and bound algorithm [10]. The authors J Ghayathri and Dr. S. Pannirselvam [1] d

FAQs

What problem does the enhanced BPEL method address in dynamic web service composition?

It addresses the challenge of achieving global optimization of Quality of Service (QoS) during dynamic service composition while improving service selection, refining, and fault tolerance within BPEL processes.

Which QoS parameters are considered in the proposed service refining process?

The method considers response time, availability, performance, and reliability as the QoS parameters used for refining selected services.

How does the paper determine which services to invoke at runtime?

It selects a subset of web services from candidate services at run-time, based on the enhanced refining, scoring, and selection algorithm designed to optimize QoS under constraints.

Sep 12, 2026

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