Autopilot: adaptive control of distributed applications

With increasing development of applications for heterogeneous, distributed computing grids, the focus of performance analysis has shifted from a posteriori optimization on homogeneous parallel systems to application tuning for heterogeneous resources with time varying availability. This shift has pr...

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Bibliographic Details
Published in:Proceedings, the seventh International Symposium on High Performance Distributed Computing (Cat. No.98TB100244) : 31 July 1998 pp. 172 - 179
Main Authors: Ribler, R.L., Vetter, J.S., Simitci, H., Reed, D.A.
Format: Conference Proceeding
Language:English
Published: IEEE 1998
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ISBN:0818685794, 9780818685798
ISSN:1082-8907
Online Access:Get full text
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Summary:With increasing development of applications for heterogeneous, distributed computing grids, the focus of performance analysis has shifted from a posteriori optimization on homogeneous parallel systems to application tuning for heterogeneous resources with time varying availability. This shift has profound implications for performance instrumentation and analysis techniques. Autopilot is a new infrastructure for dynamic performance tuning of heterogeneous computational grids based on closed loop control. The paper describes the Autopilot model of distributed sensors, actuators, and decision procedures, reports preliminary performance benchmarks, and presents a case study in which the Autopilot library is utilized in the development of an adaptive parallel input/output system.
Bibliography:SourceType-Conference Papers & Proceedings-1
ObjectType-Conference Paper-1
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ISBN:0818685794
9780818685798
ISSN:1082-8907
DOI:10.1109/HPDC.1998.709970