Frank,
Both RZope and Rho solve this problem.
RZope
(http://www.analytics.washington.edu/statcomp/projects/rzope/)solves
it by using *nix's fork command, which takes as much
time as a memcopy.
Rho(http://rho-project.org) solves it by maintaining
a pool of idling R processes, which it maintains
active & can pull to do a calculation immediately.
Both of these are pretty immediate & allow
multistep/session calculations.(As compared to CGI
stuff)
cheers,
Nathan
Here's a related question: Do any of the mentioned
R-web interfaces
(Rweb, R-Online, CGIwithR, RSPerl) support reusing the
same R process,
eliminating the startup overhead? This would be
useful to me as well.
Currently I use such a method on my computing cluster:
All 40
compute nodes run an R process/compute server that
listens at a socket
for
any
connection and subsequent commands from another
computer.
When the master process disconnects, the R processes
go back to
listening
at the socket. Connecting to the R compute servers
this way
takes < 2 milliseconds rather than the typical ~2
second R startup
time.
Thanks for any tips.
-Frank
====Nathan Whitehouse
Statistics/Programming
Baylor College of Medicine
Houston, TX, USA
nlwhitehouse at yahoo.com
work: 1-713-798-9029
cell: 1-512-293-5840
http://rho-project.org: rho- open source web services for R.
http://franklin.imgen.bcm.tmc.edu: Shaw laboratory, bcm.
