FARA - A Framework for Adaptive Resource Allocation in Complex Real-Time Systems

This paper introduces FARA, a framework that provides abstractions and mechanisms for building integrated adaptation and resource allocation services in complex real-time systems. FARA's design addresses (1) the speci cation of the adaptation capabilities of general-domain applications with multiple adaptive components and (2) the control of the adaptation impact on the satis ability of an application's timing constraints during its transition to targeted steady state. We propose to use of a hierarchical adaptation model, to control the adaptation enactment overhead based on the costs of executing the application-speci c adaptation procedures, and to reduce the decision overhead by use of e ective solutions for mechanisms frequently invoked during the decision process, such as the decision context management and the allocation decision evaluation.