Milan Project: A New Method for High-Assurance and High-Performance Computing on Large-Scale Distributed Platforms

摘要

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 on top of metacomputing environments that consist of an unreliable and dynamically changing set machines. In addition to the techniques, the principal outcomes of the project include three parallel programming systems: Calypso, Chime, and Charlotte; which enable applications developed for ideal, shared memory, parallel machines to execute on distributed platforms that are subject to failures, slowdowns, and changing resource availability. The techniques were extensively tested and performance experiments showed that for extensive classes of computations, the techniques provide a more effective environment than what existed before, supporting Quality of Service (QoS) requirements. The lessons learned from the MILAN project are being used to design Computing Communities, a metacomputing framework for general computations.