Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Managing Variability of Ambient Intelligence Middleware

Managing Variability of Ambient Intelligence Middleware
View Sample PDF
Author(s): Lidia Fuentes (University of Malaga, Spain), Nadia Gamez (University of Malaga, Spain) and Pablo Sanchez (University of Malaga, Spain)
Copyright: 2009
Volume: 1
Issue: 1
Pages: 11
Source title: International Journal of Ambient Computing and Intelligence (IJACI)
Editor(s)-in-Chief: Nilanjan Dey (JIS University, Kolkata, India)
DOI: 10.4018/jaci.2009010106


View Managing Variability of Ambient Intelligence Middleware on the publisher's website for pricing and purchasing information.


AmI technologies have to produce software embedded in a wide variety of everyday objects and devices with critical resource limitations. Furthermore, they must provide support to different types of applications and to many different kinds of users. The application of a Software Product Line approach would be very useful to express the different requirements of either devices or applications in terms of commonalities and variabilities when defining a family of AmI middleware platforms. A feature model for the AmI domain will help to specify and automatically derive different configurations of middleware tailored according to a large number of constraints. The aim of this article is to highlight the complexity of managing different types of variability during the development of applications for AmI environments. A generic process for automatically generating a custom configuration of a middleware variant is also presented.

Related Content

Mohammad Reduanul Haque, Rubaiya Hafiz, Alauddin Al Azad, Yeasir Adnan, Sharmin Akter Mishu, Amina Khatun, Mohammad Shorif Uddin. © 2021. 14 pages.
Shazia Iqbal, Shahzad Ahmad, Bushra Bano, Khalid Akkour, Manal Abdullah Ali Alghamdi, Alreuof Mohammed Alothri. © 2021. 18 pages.
Anshu Saxena Arora, Mayumi Fleming, Amit Arora, Vas Taras, Jiajun Xu. © 2021. 20 pages.
Aditya Kamleshbhai Lakkad, Rushit Dharmendrabhai Bhadaniya, Vraj Nareshkumar Shah, Lavanya K.. © 2021. 14 pages.
Rajneesh Rani, Harpreet Singh. © 2021. 15 pages.
Benjamin Ghansah, Ben-Bright Benuwa, Augustine Monney. © 2021. 24 pages.
Ngoc Le Chau, Nhat Linh Ho, Ngoc Thoai Tran, Thanh-Phong Dao. © 2021. 28 pages.
Body Bottom