Accommodating QoS prediction in an adaptive resource management framework

Abstract

Resource management for dynamic, distributed real-time systems requires handling of unknown arrival rates for data and events; additional desiderata include: accommodation of heterogeneous resources, high resource utilization, and guarantees of real-time quality-of-service (QoS). This paper describes the techniques employed by a resource manager that addresses these issues. The specific contributions of this paper are: QoS monitoring and resource usage profiling; prediction of real-time QoS (via interpolation and extrapolation of execution times) for heterogeneous resource platforms and dynamic real-time environments; and resource contention analysis. © 2000 Springer-Verlag Berlin Heidelberg.