<--- Back to Details
First PageDocument Content
MapReduce / Data Intensive Computing / Apache Hadoop / Cloud computing / Computer cluster / Grid computing / CUPS / Lorrie Cranor / HPCC / Computing / Concurrent computing / Parallel computing
Date: 2010-05-20 17:44:23
MapReduce
Data Intensive Computing
Apache Hadoop
Cloud computing
Computer cluster
Grid computing
CUPS
Lorrie Cranor
HPCC
Computing
Concurrent computing
Parallel computing

FAWN: A Fast Array of Wimpy Nodes

Add to Reading List

Source URL: www.pdl.cmu.edu

Download Document from Source Website

File Size: 2,13 MB

Share Document on Facebook

Similar Documents

Biometric Authentication on iPhone and Android: Usability, Perceptions, and Influences on Adoption Chandrasekhar Bhagavatula, Blase Ur, Kevin Iacovino, Su Mon Kywe†, Lorrie Faith Cranor, Marios Savvides Carnegie Mellon

DocID: 1ve0t - View Document

Can Long Passwords Be Secure and Usable? Richard Shay, Saranga Komanduri, Adam L. Durity, Phillip (Seyoung) Huh, Michelle L. Mazurek, Sean M. Segreti, Blase Ur, Lujo Bauer, Nicolas Christin, and Lorrie Faith Cranor Carne

DocID: 1uAq8 - View Document

The Cost of Reading Privacy Policies Aleecia M. McDonald and Lorrie Faith Cranor∗ AUTHOR’S PRE-PRESS VERSION Please cite to the published paper in:

DocID: 1uApK - View Document

Sine  wave   Use  this  curve  for  panel  2   Use  this  curve  for  panel  1  

DocID: 1ug9F - View Document

Who’s Viewed You? The Impact of Feedback in a mobile location Sharing System Janice Y. Tsai, Patrick Kelley, Paul Drielsma, Lorrie Cranor, Jason Hong, Norman Sadeh Carnegie Mellon University Pittsburgh, PA jytsai@andre

DocID: 1u5GU - View Document