JOURNAL ARTICLE

Model-based service discovery for future generation mobile systems

Abstract

The practical success of the future generation mobile systems such as 4G relies largely on its flexibility in providing adaptive and cost-effective services. Service discovery is an essential mechanism to achieve this goal. Based on the investigation of the existing service discovery protocols, this paper proposes a new service discovery methodology for future generation mobile systems: model-based service discovery or MBSD. MBSD takes advantage of the OMG (Object Management Group) MDA (Model-Driven Architecture) technique. The system architecture of MBSD and its operation are presented and implemented. The proposed methodology is validated via a mobile service scenario.

Keywords:
Computer science Service discovery Flexibility (engineering) Service (business) Mobile service Architecture Distributed computing Software engineering Web service World Wide Web

Metrics

4
Cited By
2.46
FWCI (Field Weighted Citation Impact)
9
Refs
0.91
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Service-Oriented Architecture and Web Services
Physical Sciences →  Computer Science →  Information Systems
Context-Aware Activity Recognition Systems
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Bluetooth and Wireless Communication Technologies
Physical Sciences →  Computer Science →  Computer Networks and Communications

Related Documents

JOURNAL ARTICLE

Model-based service discovery for next-generation mobile systems

Kun YangI.D. HenningShumao OuM. Azmoodeh

Journal:   IEEE Communications Magazine Year: 2006 Vol: 44 (9)Pages: 122-129
JOURNAL ARTICLE

Service discovery in the future for mobile commerce

Dipanjan ChakrabortyHarry Chen

Journal:   XRDS Crossroads The ACM Magazine for Students Year: 2000 Vol: 7 (2)Pages: 18-24
BOOK-CHAPTER

A Service Discovery Model for Mobile Agent Based Distributed Data Mining

Xining LiLei Song

Advances in intelligent information technologies series/Advances in intelligent information technologies (AIIT) book series Year: 2011 Pages: 173-189
© 2026 ScienceGate Book Chapters — All rights reserved.