Metacomputing with MILAN

A. Baratloo, P. Dasgupta, V. Karamcheti, Z. M. Kedem

Research output: Contribution to conferencePaper

Abstract

The MILAN project, a joint effort involving Arizona State University and New York University, has produced and validated fundamental techniques for the realization of efficient, reliable, predictable virtual machines, that is, metacomputers, on top of environments that consist of an unreliable and dynamically changing set of machines. In addition to the techniques, the principal outcomes of the project include three parallel programming systems - Calypso, Chime, and Charlotte - which enable applications be developed for ideal, shared memory, parallel machines to execute on distributed platforms that are subject to failures, slowdowns, and changing resource availability. The lessons learned from the MILAN project are being used to design Computing Communities, a metacomputing framework for general computations.

Original languageEnglish (US)
Pages169-183
Number of pages15
StatePublished - Jan 1 1999
EventProceedings of the 1999 8th Heterogeneous Computing Workshop (HCW '99) - San Juan
Duration: Apr 12 1999Apr 12 1999

Other

OtherProceedings of the 1999 8th Heterogeneous Computing Workshop (HCW '99)
CitySan Juan
Period4/12/994/12/99

ASJC Scopus subject areas

  • Computer Science(all)

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    Baratloo, A., Dasgupta, P., Karamcheti, V., & Kedem, Z. M. (1999). Metacomputing with MILAN. 169-183. Paper presented at Proceedings of the 1999 8th Heterogeneous Computing Workshop (HCW '99), San Juan, .