Towards self-optimization of a pervasive computing task

摘要

In pervasive computing, our aim for the end user is continuous computing anytime, anywhere whenever possible, in a way that the computing system adapts to the user's context. An integral component of pervasive computing is pervasive task, a computing task that follows wherever the user is, adapting to the computing needs of the user and self-optimizing on user's behalf. In this paper, a task is represented by a set of computing files which then are mapped to their corresponding applications and suppliers, and optimal quality of service dimensions for each application. Here, we present how pervasive task can be realized, implementing self-configuration and self-optimization to adapt to the user's preferences. This work is a contribution in the ongoing research towards adaptation of computing system to suit the user's context and preferences in a pervasive computing system