Automatic Web Service Composition Based on Uncertainty Execution Effects - 2015


By arranging multiple existing Web services into workflows to form value-added services, automatic Web service composition has received abundant attention in Service-Oriented Computing. A large variety of ways have been proposed for it although most of them are simply based on the matching of input-output parameters of services. Besides these parameters, some other components will have an effect on the execution of services and their composition, like the preconditions and service execution results. In explicit, the execution effects of some services are usually unsure because of the advanced and dynamically changing application environments in the important world, and this may cause the emergence of nondeterministic choices within the workflows of composite services. However, the previous methods for automatic service composition mainly depend upon sequential structures, which make them troublesome to require into consideration uncertain effects throughout service composition. In this paper, Graphplan is used and extended to tackle this drawback. In order to model services with uncertain effects, we initial extend the original kind of Graphplan. Then, we have a tendency to propose a completely unique approach that may introduce branch structures into composite solutions to deal with such uncertainty in the service composition process. Extensive experiments are performed to judge and analyze the proposed methodology.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE :Smart Trailer : Automatic generation of movie trailer using only subtitles - 2018ABSTRACT:With the large growth rate in user-generated videos, it is changing into increasingly important to be able to navigate them
PROJECT TITLE :New Automatic Modulation Classifier Using Cyclic-Spectrum Graphs With Optimal Training Features - 2018ABSTRACT:A new feature-extraction paradigm for graph-based automatic modulation classification is proposed in
PROJECT TITLE :Automatic Modulation Classification Using Moments and Likelihood Maximization - 2018ABSTRACT:Motivated by the fact that moments of the received signal are easy to compute and can give a simple means to automatically
PROJECT TITLE :Automatic Feature Selection Technique for Next Generation Self-Organizing Networks - 2018ABSTRACT:Despite self-organizing networks (SONs) pursue the automation of management tasks in current cellular networks, the
PROJECT TITLE :Automatic Registration of Images With Inconsistent Content Through Line-Support Region Segmentation and Geometrical Outlier Remova - 2018ABSTRACT:The implementation of automatic image registration is still troublesome

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry