Metacomputing with MILAN

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

Research output: Chapter in Book/Report/Conference proceedingChapter

7 Citations (Scopus)

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)
Title of host publicationProceedings of the Heterogeneous Computing Workshop, HCW
Place of PublicationLos Alamitos, CA, United States
PublisherIEEE
Pages169-183
Number of pages15
StatePublished - 1999
Externally publishedYes
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

Fingerprint

Parallel programming
Availability
Data storage equipment
Virtual machine

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Baratloo, A., Dasgupta, P., Karamcheti, V., & Kedem, Z. M. (1999). Metacomputing with MILAN. In Proceedings of the Heterogeneous Computing Workshop, HCW (pp. 169-183). Los Alamitos, CA, United States: IEEE.

Metacomputing with MILAN. / Baratloo, A.; Dasgupta, Partha; Karamcheti, V.; Kedem, Z. M.

Proceedings of the Heterogeneous Computing Workshop, HCW. Los Alamitos, CA, United States : IEEE, 1999. p. 169-183.

Research output: Chapter in Book/Report/Conference proceedingChapter

Baratloo, A, Dasgupta, P, Karamcheti, V & Kedem, ZM 1999, Metacomputing with MILAN. in Proceedings of the Heterogeneous Computing Workshop, HCW. IEEE, Los Alamitos, CA, United States, pp. 169-183, Proceedings of the 1999 8th Heterogeneous Computing Workshop (HCW '99), San Juan, 4/12/99.
Baratloo A, Dasgupta P, Karamcheti V, Kedem ZM. Metacomputing with MILAN. In Proceedings of the Heterogeneous Computing Workshop, HCW. Los Alamitos, CA, United States: IEEE. 1999. p. 169-183
Baratloo, A. ; Dasgupta, Partha ; Karamcheti, V. ; Kedem, Z. M. / Metacomputing with MILAN. Proceedings of the Heterogeneous Computing Workshop, HCW. Los Alamitos, CA, United States : IEEE, 1999. pp. 169-183
@inbook{b0a5474a0fdf46a0b558157fbaf8912a,
title = "Metacomputing with MILAN",
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.",
author = "A. Baratloo and Partha Dasgupta and V. Karamcheti and Kedem, {Z. M.}",
year = "1999",
language = "English (US)",
pages = "169--183",
booktitle = "Proceedings of the Heterogeneous Computing Workshop, HCW",
publisher = "IEEE",

}

TY - CHAP

T1 - Metacomputing with MILAN

AU - Baratloo, A.

AU - Dasgupta, Partha

AU - Karamcheti, V.

AU - Kedem, Z. M.

PY - 1999

Y1 - 1999

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0032591274&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0032591274&partnerID=8YFLogxK

M3 - Chapter

AN - SCOPUS:0032591274

SP - 169

EP - 183

BT - Proceedings of the Heterogeneous Computing Workshop, HCW

PB - IEEE

CY - Los Alamitos, CA, United States

ER -