Abstract

Abstract Background Service selection in pervasive computing is significant as it requires identifying the best service provider based on users requirements. After identifying the best service provider, when a service is being executed, service disruptions happen due to various faults. Methods Though attempts are made to provide best services to the user, executing the service without service disruptions becomes an important challenge in the pervasive environment. In this paper, a novel Fault tolerant Service Selection Framework (FTSSF) has been proposed. Results Adequate theoretical analysis was carried out and experimental results were obtained for the proposed framework and have been compared with the existing techniques. Conclusion The results prove that the proposed framework is efficient and fault tolerant.

Highlights

  • Pervasive computing is an emerging area of research where the computing devices are embedded in the environments

  • The Service Selection Framework [2,10,11,12] selects a service provider from a finite set of service providers based on a finite set of user preferences and the service is executed by the selected service provider

  • Adequate theoretical analysis was carried out and experimental results were obtained for the proposed framework and have been compared with the existing techniques

Read more

Summary

Introduction

Pervasive computing is an emerging area of research where the computing devices are embedded in the environments. This has motivated the authors to investigate and propose a novel Fault tolerant Service Selection Framework for pervasive computing.

Results
Conclusion

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.