IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Service-Oriented Architectures for Pervasive Computing

Service-Oriented Architectures for Pervasive Computing
View Sample PDF
Author(s): Elias S. Manolakos (University of Athens, Greece)and Demetris G. Galatopoullos (Northeastern University, USA)
Copyright: 2010
Pages: 28
Source title: Handbook of Research on P2P and Grid Systems for Service-Oriented Computing: Models, Methodologies and Applications
Source Author(s)/Editor(s): Nick Antonopoulos (University of Derby, UK), Georgios Exarchakos (University of Surrey, UK), Maozhen Li (Brunel University, UK)and Antonio Liotta (Technical University of Eindhoven, The Netherlands)
DOI: 10.4018/978-1-61520-686-5.ch007

Purchase

View Service-Oriented Architectures for Pervasive Computing on the publisher's website for pricing and purchasing information.

Abstract

The vision of pervasive computing is to create and manage computational spaces where large numbers of heterogeneous devices collaborate transparently to serve the user tasks all the time, anywhere. The original utility of a computer is now changing from a stand-alone tool that runs software applications to an environment-aware, context-aware tool that can enhance the user experience by executing services and carrying out his/her tasks in an efficient manner. However, the heterogeneity of devices and the user’s mobility are among the many issues that make developing pervasive computing applications a very challenging task. A solution to the programmability of pervasive spaces is adopting the service-oriented architecture (SOA) paradigm. In the SOA model, device capabilities are exposed as software services thus providing the programmer with a convenient abstraction level that can help to deal with the dynamicity of pervasive spaces. In this chapter the authors review the state of the art in SOA-based pervasive computing, identify existing open problems, and contribute ideas for future research.

Related Content

Radhika Kavuri, Satya kiranmai Tadepalli. © 2024. 19 pages.
Ramu Kuchipudi, Ramesh Babu Palamakula, T. Satyanarayana Murthy. © 2024. 10 pages.
Nidhi Niraj Worah, Megharani Patil. © 2024. 21 pages.
Vishal Goar, Nagendra Singh Yadav. © 2024. 23 pages.
S. Boopathi. © 2024. 24 pages.
Sai Samin Varma Pusapati. © 2024. 25 pages.
Swapna Mudrakola, Krishna Keerthi Chennam, Shitharth Selvarajan. © 2024. 11 pages.
Body Bottom