Google File System(GFS) is a scalable distributed
file system designed for large data-intensive applica-
tions. The filesystem has a complex architecture and
undertanding its behavior when subject to various
workloads is an interesting and challenging problem.
In this project we made an attempt to solve this prob-
lem by simulating this filesystem and its components.
We then studied the behavior and performance of the
system when subject to various read workloads. We
have simulated load balancing, GFS replication, GFS
rebalancing and a disk failure for our experimentation
and then observed how GFS performs in each case.