DIOS++: A Framework for Rule-Based Autonomic Management of Distributed Scientific Applications

Abstract

This paper presents the design, prototype implementation and experimental evaluation of DIOS++, an infrastructure for enabling rule based autonomic adaptation and control of distributed scientific applications. DIOS++ provides: (1) abstractions for enhancing existing application objects with sensors and actuators for runtime interrogation and control, (2) a control network that connects and manages the distributed sensors and actuators, and enables external discovery, interrogation, monitoring and manipulation of these objects at runtime, and (3) a distributed rule engine that enables the runtime definition, deployment and execution of rules for autonomic application management. The framework is currently being used to enable autonomic monitoring and control of a wide range of scientific applications including oil reservoir, compressible turbulence and numerical relativity simulations.