Map-Reduce
Course CS551- Computer Communications
Professor John Heidemann
Team Member Jui-Hung Chang (This is an indivisual project)
Summary

Main Reference:

Dean and S. Ghemawat. MapReduce: Simplified data processing on large clusters. Presented at Proceedings of the Sixth Symposium on Operating Systems Design and Implementation (OSDI'04).

Map-Reduce is a software framework to make parallel processing simpler
Realted Documents

Project Description - Phase A (Here)

Project Description - Phase B (Here)

Project Description - Phase C (Here)
The University of Southern California does not screen or control the content on this website and thus does not guarantee the accuracy, integrity, or quality of such content. All content on this website is provided by and is the sole responsibility of the person from which such content originated, and such content does not necessarily reflect the opinions of the University administration or the Board of Trustees