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 language | English (US) |
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Pages | 169-183 |
Number of pages | 15 |
State | Published - 1999 |
Event | Proceedings of the 1999 8th Heterogeneous Computing Workshop (HCW '99) - San Juan Duration: Apr 12 1999 → Apr 12 1999 |
Other
Other | Proceedings of the 1999 8th Heterogeneous Computing Workshop (HCW '99) |
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City | San Juan |
Period | 4/12/99 → 4/12/99 |
ASJC Scopus subject areas
- General Computer Science