scholarly journals Customizing the Composition of Actions, Programs, and Web Services with User Preferences

2010 ◽  
pp. 321-329 ◽  
Author(s):  
Shirin Sohrabi
Keyword(s):  
Web Services ◽  
User Preferences

scholarly journals Distributed Data-intensive Web Service Composition

2021 ◽  
Author(s):  
Soheila Sadeghiram
Keyword(s):  
Web Services ◽  
Web Service ◽  
Service Composition ◽  
Problem Formulation ◽  
Web Service Composition ◽  
User Preferences ◽  
Distributed Data ◽  
Multi Objective ◽  
Data Intensive ◽  
The Impact

<p>Service-oriented architecture (SOA) encourages the creation of modular applications involving Web services as the reusable components. Data-intensive Web services have emerged to manipulate and deal with the massive data emerged from technological advances and their various applications. Distributed Data-intensive Web Service Composition (DWSC) is a core of SOA, which includes the selection of data-intensive Web services from diverse locations on the network and composes them to accomplish a complicated task. As a fundamental challenge for service developers, service compositions must fulfil functional requirements and optimise Quality of Service (QoS), simultaneously. The QoS of a distributed DWSC is not only impacted by the QoS of component services and how the compositions are generated, but also by the locations of services and data transformation between services. However, existing works often neglect the impact of locations and data on service composition. The distributed DWSC has not been sufficiently studied in the literature. In this thesis, we first define the single-objective distributed DWSC that includes communication (e.g. bandwidth), Web service (execution time) and data (data cost) attributes. To this aim, we consider bandwidth information of communication links obtained using the location information of services. Based on the problem formulation, we then address the distributed DWSC problem by developing EC-based approaches. Those EC-based approaches are designed to incorporate domain-knowledge for effectively solving the distributed DWSC problem. Afterwards, we study the multi-objective distributed DWSC to satisfy different QoS requirements. In particular, the QoS-constrained distributed DWSC problem and user preferences are considered. For finding trade-off solutions for those problems, new Multi-objective Evolutionary Algorithms (MOEAs) are proposed based on the current Non-dominated Sorting Genetic Algorithm-II (NSGA-II). Furthermore, a new problem formulation for the dynamic distributed DWSC (D2−DWSC) problem with bandwidth fluctuations is proposed. An EC-based approach is developed to solve the D2-DWSC. Finally, extensive empirical evaluations are conducted that demonstrate the high performance of our proposed methods in finding composite services with good QoS.</p>

Personalization of Web Services

2011 ◽  
pp. 234-252
Author(s):  
Zakaria Maamar ◽  
Soraya K. Mostéfaoui ◽  
Qusay H. Mahmoud ◽  
Ghita K. Mostéfaoui ◽  
Djamal Benslimane
Keyword(s):  
Web Services ◽  
Web Service ◽  
User Preferences ◽  
User Context ◽  
Fourth Type ◽  
Different Types ◽  
Security Context ◽  
The Web

This chapter presents a context-based approach for personalizing Web services so that user preferences are accommodated during the performance of Web services. Preferences are of different types varying from when the execution of a Web service should start to where the outcome of this execution should be delivered. Besides user preferences, this chapter argues that the computing resources on which the Web services operate have an impact on their personalization. Indeed, resources schedule the execution requests that originate from multiple Web services. To track this personalization, three types of contexts are devised, namely user context, Web service context, and resource context. A fourth type of context denoted by security enables protecting the content of each of these three contexts. The objective of the security context is to report on the strategies, which permit protecting, overseeing, and assessing the content of the contexts subject to management operations.

User Preference-Based Web Service Composition and Execution Framework

2015 ◽  
pp. 118-138 ◽  
Author(s):  
Bassam Al-Shargabi ◽  
Omar Sabri
Keyword(s):  
Web Services ◽  
Web Service ◽  
Service Composition ◽  
Service Oriented Architecture ◽  
Wide Spectrum ◽  
Web Service Composition ◽  
User Preferences ◽  
User Preference ◽  
Service Oriented ◽  
Composition Process

the motivation behind this chapter is that Service Oriented architecture issued to compose an application as a set of services that are language and platform independent, communicate with each other, Therefore, user preferences rules in web service composition process plays crucial role and has opened a wide spectrum of challenge, In this chapter, an agent for composing web services based on user preferences was introduced to fulfill a certain process, where the user preferences are essential for determining which web service are to be selected. In other word, the agent designed to maintain the following function: an intelligent web services selection and planning based on user preferences(such as price or availability), along with web services execution, tracking and adaptation.

scholarly journals An approach for verifying correctness of web service compositions

2018 ◽  
Vol 7 (1.7) ◽  
pp. 5
Author(s):  
C. Saranya Jothi ◽  
Ravikumar S ◽  
Antony Kumar K ◽  
A. Suresh
Keyword(s):  
Web Services ◽  
Web Service ◽  
User Preferences ◽  
Model Verification ◽  
Dynamic Composition ◽  
Business Applications ◽  
Deadlock Freedom ◽  
Modeling Techniques ◽  
Level Model ◽  
Two Level Model

Web services are utilized to illuminate some particular assignment. When a single web service cannot solve a given task, several web services are composed. Composition can be done either statically at design time or dynamically at runtime. Dynamic composition is more suitable for business applications where in business policies and user requirements frequently changes. Interleaved dynamic composition and execution of services is beneficial for adapting to changing user preferences. One of the main issues in such a scenario is that whether the component services that are composed operate according to the business rules specified. Safety, liveness and deadlock freedom properties of a composition depend on the behavior of individual services. Existing modeling techniques capture these properties and perform model checking only statically. Hence in this work, a two level model verification approach has been proposed to verify the correctness of dynamically composed services.

scholarly journals An Automatic Web Service Composition Framework Using QoS-Based Web Service Ranking Algorithm

2015 ◽  
Vol 2015 ◽  
pp. 1-14 ◽  
Author(s):  
Deivamani Mallayya ◽  
Baskaran Ramachandran ◽  
Suganya Viswanathan
Keyword(s):  
Web Services ◽  
Web Service ◽  
Service Composition ◽  
Web Applications ◽  
Web Service Composition ◽  
User Preferences ◽  
User Preference ◽  
Global Constraints ◽  
Service Ranking ◽  
The Web

Web service has become the technology of choice for service oriented computing to meet the interoperability demands in web applications. In the Internet era, the exponential addition of web services nominates the “quality of service” as essential parameter in discriminating the web services. In this paper, a user preference based web service ranking (UPWSR) algorithm is proposed to rank web services based on user preferences and QoS aspect of the web service. When the user’s request cannot be fulfilled by a single atomic service, several existing services should be composed and delivered as a composition. The proposed framework allows the user to specify the local and global constraints for composite web services which improves flexibility. UPWSR algorithm identifies best fit services for each task in the user request and, by choosing the number of candidate services for each task, reduces the time to generate the composition plans. To tackle the problem of web service composition, QoS aware automatic web service composition (QAWSC) algorithm proposed in this paper is based on the QoS aspects of the web services and user preferences. The proposed framework allows user to provide feedback about the composite service which improves the reputation of the services.

Personalization of Web Services

2011 ◽  
pp. 2108-2125
Author(s):  
Zakaria Maamar ◽  
Soraya Kouadri Mostéfaoui ◽  
Qusay H. Mahmoud ◽  
Ghita Kouadri Mostéfaoui ◽  
Djamal Benslimane
Keyword(s):  
Web Services ◽  
Web Service ◽  
User Preferences ◽  
User Context ◽  
Fourth Type ◽  
Different Types ◽  
Security Context ◽  
The Web

This chapter presents a context-based approach for personalizing Web services so that user preferences are accommodated during the performance of Web services. Preferences are of different types varying from when the execution of a Web service should start to where the outcome of this execution should be delivered. Besides user preferences, this chapter argues that the computing resources on which the Web services operate have an impact on their personalization. Indeed, resources schedule the execution requests that originate from multiple Web services. To track this personalization, three types of contexts are devised, namely user context, Web service context, and resource context. A fourth type of context denoted by security enables protecting the content of each of these three contexts. The objective of the security context is to report on the strategies, which permit protecting, overseeing, and assessing the content of the contexts subject to management operations.

On Personalizing Web Services Using Context

2011 ◽  
pp. 232-253 ◽  
Author(s):  
Zakaria Maamar ◽  
Soraya Kouadri Mostéfaoui ◽  
Qusay H. Mahmoud
Keyword(s):  
Web Services ◽  
Web Service ◽  
User Preferences ◽  
Temporal Perspective ◽  
User Context ◽  
Different Types ◽  
User Location ◽  
The Web

This chapter presents a context-based approach for Web services personalization so that user preferences are accommodated. Preferences are of different types, varying from when the execution of a Web service should start to where the outcome of this execution should be delivered according to user location. Besides user preferences, it will be discussed in this chapter that the computing resources on which the Web services operate have an impact on their personalization. Indeed, resources schedule the execution requests that originate from multiple Web services. To track the personalization of a Web service from a temporal perspective (i.e., what did happen, what is happening, and what will happen), three types of contexts are devised and referred to as user context, Web service context, and resource context.

scholarly journals Distributed Data-intensive Web Service Composition

2021 ◽  
Author(s):  
Soheila Sadeghiram
Keyword(s):  
Web Services ◽  
Web Service ◽  
Service Composition ◽  
Problem Formulation ◽  
Web Service Composition ◽  
User Preferences ◽  
Distributed Data ◽  
Multi Objective ◽  
Data Intensive ◽  
The Impact

<p>Service-oriented architecture (SOA) encourages the creation of modular applications involving Web services as the reusable components. Data-intensive Web services have emerged to manipulate and deal with the massive data emerged from technological advances and their various applications. Distributed Data-intensive Web Service Composition (DWSC) is a core of SOA, which includes the selection of data-intensive Web services from diverse locations on the network and composes them to accomplish a complicated task. As a fundamental challenge for service developers, service compositions must fulfil functional requirements and optimise Quality of Service (QoS), simultaneously. The QoS of a distributed DWSC is not only impacted by the QoS of component services and how the compositions are generated, but also by the locations of services and data transformation between services. However, existing works often neglect the impact of locations and data on service composition. The distributed DWSC has not been sufficiently studied in the literature. In this thesis, we first define the single-objective distributed DWSC that includes communication (e.g. bandwidth), Web service (execution time) and data (data cost) attributes. To this aim, we consider bandwidth information of communication links obtained using the location information of services. Based on the problem formulation, we then address the distributed DWSC problem by developing EC-based approaches. Those EC-based approaches are designed to incorporate domain-knowledge for effectively solving the distributed DWSC problem. Afterwards, we study the multi-objective distributed DWSC to satisfy different QoS requirements. In particular, the QoS-constrained distributed DWSC problem and user preferences are considered. For finding trade-off solutions for those problems, new Multi-objective Evolutionary Algorithms (MOEAs) are proposed based on the current Non-dominated Sorting Genetic Algorithm-II (NSGA-II). Furthermore, a new problem formulation for the dynamic distributed DWSC (D2−DWSC) problem with bandwidth fluctuations is proposed. An EC-based approach is developed to solve the D2-DWSC. Finally, extensive empirical evaluations are conducted that demonstrate the high performance of our proposed methods in finding composite services with good QoS.</p>

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