Programming stigmergic coordination with the TOTA middleware
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
A distributed approach for assistive service provision in pervasive environment
WMASH '06 Proceedings of the 4th international workshop on Wireless mobile applications and services on WLAN hotspots
Rule-based Adaptation of Web Information Systems
World Wide Web
Contextualized Recommendation Based on Reality Mining From Mobile Subscribers
Cybernetics and Systems
Context-aware systems: A literature review and classification
Expert Systems with Applications: An International Journal
Programming pervasive and mobile computing applications: The TOTA approach
ACM Transactions on Software Engineering and Methodology (TOSEM)
Expert Systems with Applications: An International Journal
Context Management for Adaptive Information Systems
Electronic Notes in Theoretical Computer Science (ENTCS)
Comparing Service-Oriented Computing and Agent-Oriented Programming towards integration
Web Intelligence and Agent Systems
Spatial computing: the TOTA approach
Self-star Properties in Complex Information Systems
Augmenting the physical environment through embedded wireless technologies
E4MAS'05 Proceedings of the 2nd international conference on Environments for Multi-Agent Systems
Using Description Logics for the Provision of Context-Driven Content Adaptation Services
International Journal of Systems and Service-Oriented Engineering
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One of the main issues in mobile services' research (M-service) is supporting M-service availability, regardless of the user's context (physical location, device employed, etc.). However, most scenarios also require the enforcement of context-awareness, to dynamically adapt M-services depending on the context in which they are requested. In this paper, we focus on the problem of adapting M-services depending on the users' location, whether physical (in space) or logical (within a specific distributed group/application). To this end, we propose a framework to model users' location via a multiplicity of local and active service contexts. First, service contexts represent the mean to access to M-services available within a physical locality. This leads to an intrinsic dependency of M-service on the users' physical location. Second, the execution of service contexts can be tuned depending on who is requesting what M-service. This enables adapting M-services to the logical location of users (e.g., a request can lead to different executions for users belonging to different groups/applications). The paper firstly describes the framework in general terms, showing how it can facilitate the design of distributed applications involving mobile users as well as mobile agents. Then, it shows how the MARS coordination middleware, implementing service contexts in terms of programmable tuple spaces, can be used to develop and deploy applications and M-services coherently with the above framework. A case study is introduced and discussed through the paper to clarify our approach and to show its effectiveness.