Leveraging Resource Prediction for Anticipatory Dynamic Configuration

Self-adapting systems based on multiple concurrent applications must decide how to allocate scarce resources to applications and how to set the quality parameters of each application to best satisfy the user. Past work has made those decisions with analytic models that used current resource availability information: they react to recent changes in resource availability as they occur, rather than anticipating future availability. These reactive techniques may model each local decision optimally, but the accumulation of decisions over time nearly always becomes less than optimal. In this paper, we propose an approach to selfadaptation, called anticipatory configuration that leverages predictions of future resource availability to improve utility for the user over the duration of the task. The approach solves the following technical challenges: (1) how to express resource availability prediction, (2) how to combine prediction from multiple sources, and (3) how to leverage predictions con...

• Type: Conference
• Year: 2007
• Where: SASO
• Authors: Vahe Poladian, David Garlan, Mary Shaw, M. Satyanarayanan, Bradley R. Schmerl, João Pedro Sousa
• Keywords: Anticipatory Configuration, Resource, Resource Availability, SASO 2007, Self-Organizing Systems