My Account | Careers | Downloads | Blog

PROJECT TITLE:

Automatic Web Service Composition Based on Uncertainty Execution Effects - 2015

ABSTRACT:

By arranging multiple existing Web services into workflows to make price-added services, automatic.Net service composition has received much attention in Service-Oriented Computing. A massive range of ways are proposed for it although most of them are simply based on the matching of input-output parameters of services. Besides these parameters, some other parts can affect the execution of services and their composition, like the preconditions and service execution results. In explicit, the execution effects of some services are usually uncertain because of the advanced and dynamically changing application environments in the $64000 world, and this may cause the emergence of nondeterministic selections within the workflows of composite services. However, the previous strategies for automatic service composition mainly rely on sequential structures, that build them difficult to require into account uncertain effects throughout service composition. In this paper, Graphplan is used and extended to tackle this problem. In order to model services with unsure effects, we have a tendency to initial extend the initial type of Graphplan. Then, we have a tendency to propose a completely unique approach that may introduce branch structures into composite solutions to address such uncertainty in the service composition process. Extensive experiments are performed to guage and analyze the proposed methodology.


Did you like this research project?

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

Web Services Projects
PROJECT TITLE : T-PAIR Temporal Node-pair Embedding for Automatic Biomedical Hypothesis Generation ABSTRACT: In this paper, we investigate a problem known as automatic hypothesis generation (HG). HG refers to the process of discovering
PROJECT TITLE : End-to-End Automatic Morphological Classification of Intracranial Pressure Pulse Waveforms Using Deep Learning ABSTRACT: Objective. The mean intracranial pressure, also known as ICP, is a measurement that is frequently
PROJECT TITLE : End-to-End Automatic Morphological Classification of Intracranial Pressure Pulse Waveforms Using Deep Learning ABSTRACT: Objective. The mean intracranial pressure, also known as ICP, is a measurement that is
PROJECT TITLE : An Iteratively Optimized Patch Label Inference Network for Automatic Pavement Distress Detection ABSTRACT: We present a novel deep learning framework that we call the Iteratively Optimized Patch Label Inference
PROJECT TITLE : A Natural Language Process-Based Framework for Automatic Association Word Extraction ABSTRACT: In psychology, word association has been extensively explored for exposing mental representations and relationships

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

Project Enquiry