DocumentCode :
2806458
Title :
Metacomputing with MILAN
Author :
Baratloo, A. ; Dasgupta, P. ; Karamcheti, V. ; Kedem, Z.M.
Author_Institution :
Courant Inst. of Math. Sci., New York Univ., NY, USA
fYear :
1999
fDate :
1999
Firstpage :
169
Lastpage :
183
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 to 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
Keywords :
client-server systems; fault tolerant computing; parallel machines; parallel programming; shared memory systems; virtual machines; Arizona State University; Calypso; Charlotte; Chime; Computing Communities; MILAN project; New York University; distributed platforms; metacomputing; parallel programming systems; resource availability; shared memory parallel machines; slowdowns; system failure; virtual machines; Application software; Availability; Concurrent computing; Ear; Electrical capacitance tomography; Metacomputing; Middleware; Read only memory; Telecommunication network reliability; Virtual machining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Heterogeneous Computing Workshop, 1999. (HCW '99) Proceedings. Eighth
Conference_Location :
San Juan
ISSN :
1097-5209
Print_ISBN :
0-7695-0107-9
Type :
conf
DOI :
10.1109/HCW.1999.765128
Filename :
765128
Link To Document :
بازگشت