Fine-grain Period Adaptation in Soft Real-Time Environments

Reservation-based scheduling delivers a proportion of the CPU to jobs over a period of time. In this paper we argue that automatically determining and assigning this period is both possible and useful in general purpose soft real-time environments such as personal computers and information appliances. The goal of period adaptation is to select the period over which a job is guaranteed to receive its portion of the CPU dynamically and automatically. The choice of period represents a trade-off between the amount of jitter observed by the job and the overall efficiency of the system. Secondary effects of period include quantization error, job priority, changes in memory behavior, and battery life of portable devices. In addition to discussing these issues in detail, we present the design and evaluation of a mechanism for period adaptation based on feedback control. Together with an existing proportion allocation mechanism, this period adapter merges the benefits of best-effort and reservation-based systems by providing the fine-grain control of reservation-based scheduling without requiring applications to specify their own resource needs in advance.