Resource management based on personal service aggregations in smart spaces

This paper introduces a novel resource management approach based on personal service aggregations (PSAs) for smart spaces. As a smart space is usually a sharable system that simultaneously provides services for multi-user but with limited computational resources, the resource collision is inevitable. We propose the concept of PSA that maintains tasks, services, and underlying resources for each user to address the resource collision. By the help of PSAs, the resource management system can analyze what's the impact of a service for the user, and determines how to schedule the underlying resources. The model of a PSA and resource management strategies based on it are introduced, and a simulative example is given to further explain the idea. In the end, the future work is discussed.