Autopilot: Adaptive control of distributed applications

R. L. Ribler, J. S. Vetter, H. Simitci, D. A. Reed

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

181 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 7th International Symposium on High Performance Distributed Computing, HPDC 1998
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages172-179
Number of pages8
ISBN (Electronic)0818685794, 9780818685798
DOIs
StatePublished - 1998
Externally publishedYes
Event7th IEEE International Symposium on High Performance Distributed Computing, HPDC 1998 - Chicago, United States
Duration: Jul 31 1998 → …

Publication series

NameProceedings - 7th International Symposium on High Performance Distributed Computing, HPDC 1998
Volume1998-July

Conference

Conference7th IEEE International Symposium on High Performance Distributed Computing, HPDC 1998
Country/TerritoryUnited States
CityChicago
Period07/31/98 → …

Funding

This work was supported in part by the Defense Advanced Research Projects Agency under DARPA contracts DABT63- 94-C0049 (SIO Initiative), F30602-96-C-0161, and DABT63-96- C-0027 by the National Science Foundation under grants NSF CDA 94-01124 and ASC 97-20202, and by the Department of Energy under contracts DOE B-341494, W-7405-ENG-48, and 1-B-333164.

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