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+\\
+**[[cluster:0|Back]]**
+===== Milestone! =====
+June 3rd 2008, shortly before 1 pm, the job with JOBID 100,000 was completed.
+^JOBID^USER^STAT^QUEUE^FROM_HOST^EXEC_HOST^JOB_NAME^SUBMIT_TIME^
+|100000|ztan|DONE|imw|swallowtail|compute-1-23|ising-spring-2008-swt/simpleRuns/data018/t0.900000/mu-2.630000|Jun  3 12:48|
+===== Cluster Usage =====
+Below are some graphs covering the time period 7/27/07,17:15 to 05/22/08,15:00 sampled every 5 min intervals.
+  * Pending Jobs
+{{:cluster:pending.jpg|Pending Jobs}}
+  * Running Jobs
+{{:cluster:running.jpg|Running Jobs}}
+The maximum running jobs is 288 (total cores/job slots).  The peaks beyond that threshold represents our experimentation with overloading the job slots.
+===== Fourier =====
+Francis report ... mathematically, a Fourier transform is:
+F(w) = Integral ( f(t) exp(i*w*t) dt)
+That is, you integrate a function (or data) with a complex exponential, which is just a sum of sine and cosine functions.
+Practically speaking, suppose f(t) was something like position as a function of time.  Fourier transforming will reveal if there are characteristic frequencies of the data.  For example, if the f(t) was the position of the pendulum in a clock over time, the Fourier transform would show a huge spike at the frequency of the motion, 1 Hz.
+So Tom is wondering if there are some characteristic frequencies hiding in this usage pattern ... here is the result:
+{{:cluster:fourier.jpg|Fourrier}}
+===== Mean =====
+This is the MEAN number of jobs running/pending over each day.  Averaging over the day eliminates some of the extreme peaks, and gives a good idea of daily usage, ... here is the result:
+{{:cluster:mean.jpg|Mean}}
+===== Other Stats =====
+These graphs reflect data that is polled daily.  Each day, the stats are calculated that reflect the activity during the last 7 days, for all users, and refer only to jobs whose status is DONE. The last 7 days of data is thus a shifting "weekly" measure; ie not weekly data.
+Below is the graph for the total number of jobs processed.  Below it is a measure called throughput; it reflects the jobs/hour processed.  The final graph is the total cpu consumed in seconds.
+{{:cluster:tdjobs.jpg|:total jobs}}
+{{:cluster:throughput.jpg|:throughput}}
+{{:cluster:tcpu.jpg|:total cpu}}
+\\
+**[[cluster:0|Back]]**