This paper presents the design, prototype implementation and experimental evaluation of DIOS++, an infrastructure for enabling rule based autonomie 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 autonomie application management. The framework is currently being used to enable autonomie monitoring and control of a wide range of scientific applications including oil reservoir, compressible turbulence and numerical relativity simulations. © Springer-Verlag 2003.
CITATION STYLE
Liu, H., & Parashar, M. (2004). DIOS++: A framework for rule-based autonomic management of distributed scientific applications. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2790, 66–73. https://doi.org/10.1007/978-3-540-45209-6_12
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