An open computing resource management framework for real-time computing

This paper introduces an open computing resource managementframework for real-time computing systems. The framework is modular andconsists of a general computing resource modeling that facilitates a policy-based (open) computing resource management. The computing resource modelingcontains two resource model templates, which may be instantiated as oftenas necessary to capture a platform's computing resources and an application'scomputing requirements. The computing resource management approach featuresa parametric algorithm ( t w -mapping with window size w ) and a genericand parametric cost function, which implements the computing resource managementpolicy. We present simulations using a simple instance of this costfunction to demonstrate the suitability and versatility of the framework. Wecompute a metric that relates the computing resource management success to itscomplexity and conclude that adjusting the cost function's parameter is moreefficient than augmenting the t w -mapping's window size.