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Hi Bunny, CPU resources can come into play if you are a relay site and are relaying data feeds that generate many rpc calls. That increases overhead, that can be helped by a faster CPU, and we experience this primarily with the NNEXRAD and IDS|DDPLUS feeds...(many prods/hour). Other than bandwidth we have hit on most resources needed to run the LDM efficiently.. :) Let me know if I can be of any other assistance. Cheers, -Jeff ____________________________ _____________________ Jeff Weber address@hidden Unidata Support PH:303-497-8676 COMET Case Study Library FX:303-497-8690 University Corp for Atmospheric Research 3300 Mitchell Ln http://www.unidata.ucar.edu/staff/jweber Boulder,Co 80307-3000 ________________________________________ ______________________ On Tue, 17 Sep 2002, Bunny Pfau wrote: > Jeff--thanks for the confirmation of needing additional > memory needs. Actually, I hadn't seen in the archives > about splitting the feeds--I tried it out on my own, in > my own, blind fumblings. THanks for verifying it, though. > > If you know of any other tricks that would/could inprove > transfer rates--please point me in that direction. > Seems CPU power really doesn't have much to do with it. > > Bunny Pfau > -> Date: Tue, 17 Sep 2002 15:59:54 -0600 (MDT) > -> From: Jeff Weber <address@hidden> > -> To: Bunny Pfau <address@hidden> > -> Cc: ldm-support <address@hidden> > -> Subject: Re: 20020917: CPU & Memory vs. Performance (LDM) > -> > -> Hi Bunny, > -> > -> The optimal amount of memory is slightly larger than your queue. > -> > -> The LDM will run "best" if the entire queue can reside in memory. > -> > -> For example we have a 7GB queue on our feed machine and 8GB of memory. > -> > -> Nice work splitting your feeds, as I am sure you noticed in the archives, > -> that can increase performance by decreasing latencies. > -> > -> Hope this helps! > -> > -> Cheers, > -> > -> -Jeff > -> ____________________________ _____________________ > -> Jeff Weber address@hidden > -> Unidata Support PH:303-497-8676 > -> COMET Case Study Library FX:303-497-8690 > -> University Corp for Atmospheric Research 3300 Mitchell Ln > -> http://www.unidata.ucar.edu/staff/jweber Boulder,Co 80307-3000 > -> ________________________________________ ______________________ > -> > -> On Tue, 17 Sep 2002, Unidata Support wrote: > -> > -> > > -> > ------- Forwarded Message > -> > > -> > >To: address@hidden > -> > >From: Bunny Pfau <address@hidden> > -> > >Subject: CPU & Memory vs. Performance (LDM) > -> > >Organization: UCAR/Unidata > -> > >Keywords: 200209171959.g8HJxk112107 > -> > > -> > > -> > Is there a document (I've been searching the UNIDATA web site) > -> > that deals with suggested CPU, memory amount to help LDM > -> > run at its most efficient level? > -> > > -> > I have an upstream server serving our own in-house data to > -> > a couple of downstream servers---I mainttain them all. > -> > I'm in the process of trying to squeeze out every last > -> > ounce of speed I can. > -> > > -> > I'm on the Solaris 7 platform, on Sun SPARC hardware. > -> > > -> > I increased my setup so that I have THREE downstream clients > -> > running ldmd and saw that I could increase the data transfer > -> > rate by doing that.. > -> > > -> > I've also read through the email archives, noting in some > -> > emails that memory is VERY important. > -> > > -> > Say I have my main, upstream server with a 600MB queue, > -> > at any time finding it to have 400-600MB of data on it.. > -> > What would be the recommended ratio of memory to queue size > -> > for a Solaris 7 server (currently it has a measley 128MB of > -> > RAM on it and with three downstream clients requesting data, > -> > I can get up to an 8.2MB/minute transfer rate). > -> > > -> > Any help or referring me to the place in documentation which > -> > might be helpful would be great. > -> > > -> > Thanks, > -> > Bunny > -> > > -> > --- > -> > > -> > Bunny Pfau National Center for Atmospheric Research > -> > address@hidden High Altitude Observatory > -> > tel: 303 497-1555 P.O. Box 3000 > -> > fax: 303 497-1589 Boulder, CO 80307-3000 > -> > > -> > > -> > > -> > > -> > > -> > > -> > ------- End of Forwarded Message > -> > > -> > > >