Tian Lan has received a $500,000 NSF collaborative grant for the project “Rethinking Erasure Codes for Cloud Storage: A Quantitative Framework for Latency, Reliability, and Cost Optimization.”

Professor Tian Lan has received a $500,000 National Science Foundation (NSF) collaborative grant awarded to GW and Purdue for the project “Rethinking Erasure Codes for Cloud Storage: A Quantitative Framework for Latency, Reliability, and Cost Optimization.”  As erasure coding is increasingly adopted by large-scale storage systems such as Microsoft Azure and Facebook, this project aims to develop an analytical framework that quantifies tail latency and reliability of erasure-coded storage through investigation of novel scheduling and repair strategies, mandating rethinking of erasure codes for online storage. GW and Purdue each will receive $250,000 from this grant.