Implementation of a Scalable Context-Aware Computing System

Abstract. Context-aware computing involves the automatic tailoring of information and services based on the current location of the user. In this paper, we describe our experience in implementing Rover, a system that enables location-based services, as well as the traditional time-aware, user-aware and device-aware services. To achieve system scalability to very large client sets, Rover servers are implemented in an “action-based” concurrent software architecture that enables fine-grained application-specific scheduling of tasks. We have demonstrated its feasibility through implementations for both outdoor and indoor environments on multiple platforms.

• Type: Conference
• Year: 2003
• Where: IFIP
• Authors: Tamer Nadeem, Adel M. Youssef, Suman Banerjee, Moustafa Youssef, Sulabh Agarwal, Kevin Kamel, Andrzej Kochut, Christopher Kommareddy, Pankaj Thakkar, Bao Trinh, A. Udaya Shankar, Ashok K. Agrawala
• Keywords: Communications, Concurrent Software Architecture, Context-aware Computing, IFIP 2003, Large Client Sets