Title: Rule-based monitoring and steering of distributed scientific applications

Authors: Hua Liu, Manish Parashar

Addresses: The Applied Software Systems Laboratory, Department of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ 08854, USA. ' The Applied Software Systems Laboratory, Department of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ 08854, USA

Abstract: This paper presents the design, prototype implementation and experimental evaluation of DIOS++, an infrastructure for enabling rule based management and control of distributed scientific applications. DIOS++ provides: 1) abstractions for enhancing existing application objects with sensors and actuators for runtime interrogation and control, access policies to control accesses to sensors/actuators and rule interfaces, and rule agents to enable autonomic monitoring and steering; 2) a hierarchical control network that connects and manages the distributed sensors and actuators, enables external discovery, interrogation, monitoring and manipulation of these objects at runtime, and facilitates dynamic and secure definition, modification, deletion and execution of rules for autonomic application management and control. 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.

Keywords: computational steering environment; rule based monitoring; rule based management; rule based control; autonomic computing; agent; distributed computing; scientific applications; sensors; actuators; hierarchical control networks; oil reservoirs; compressible turbulence; numerical relativity simulation; interactive monitoring; high performance computing; parallel computing; grid computing.

DOI: 10.1504/IJHPCN.2005.008569

International Journal of High Performance Computing and Networking, 2005 Vol.3 No.4, pp.272 - 282

Published online: 30 Dec 2005 *

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