Adaptive Scheduling in Real-Time Systems Through Period Adjustment

TL;DR

This paper introduces an adaptive scheduling framework for real-time systems that dynamically adjusts task periods based on importance, enhancing flexibility for multimedia and virtual reality applications.

Contribution

It presents the Period_Adjust algorithm, enabling period adjustments for bounded and unbounded tasks to maintain system load balance.

Findings

The algorithm effectively manages task periods to keep systems underloaded.

It improves flexibility for multimedia and virtual reality real-time applications.

The approach supports both bounded and unbounded task periods.

Abstract

Real time system technology traditionally developed for safety critical systems, has now been extended to support multimedia systems and virtual reality. A large number of real-time application, related to multimedia and adaptive control system, require more flexibility than classical real-time theory usually permits. This paper proposes an efficient adaptive scheduling framework in real-time systems based on period adjustment. Under this model periodic task can change their execution rates based on their importance value to keep the system underloaded. We propose Period_Adjust algorithm, which consider the tasks whose periods are bounded as well as the tasks whose periods are not bounded.