An open computing resource management framework for real-time computing

Abstract

This paper introduces an open computing resource management framework for real-time computing systems. The framework is modular and consists of a general computing resource modeling that facilitates a policy-based (open) computing resource management. The computing resource modeling contains two resource model templates, which may be instantiated as often as necessary to capture a platform's computing resources and an application's computing requirements. The computing resource management approach features a parametric algorithm (t w -mapping with window size w) and a generic and parametric cost function, which implements the computing resource management policy. We present simulations using a simple instance of this cost function to demonstrate the suitability and versatility of the framework. We compute a metric that relates the computing resource management success to its complexity and conclude that adjusting the cost function's parameter is more efficient than augmenting the t w -mapping's window size. © 2008 Springer Berlin Heidelberg.