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Semester Graphs

Fall 2009 (9/18/09 - 12/18/09, excluding weekends and student holidays) data is presented below, broken down by data point, or as a PDF here.

Login Breakdown

(warning) Because logins are provided on a per-weekly basis, this data set runs from 9/2/09 to 12/19/09 and does not exclude weekends or holidays.

This shows the breakdown of total Athena logins by machine type.

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Occupancy Rate

A good metric of cluster use is the occupancy rate for any given cluster. Unfortunately, the average daily occupancy rate for any given cluster is skewed by the fact that the occupancy for most clusters is nearly 0 between the hours of midnight and 9:00am. If the occupancy rate is presented as a range between average daily high occupancy and average daily low occupancy, we get a much better representation of cluster usage.

The occupancy rate graph for Fall 2009 is presented here (click thumbnail for larger version):

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The extent of the vertical lines indicates the range from average daily low occupancy to average daily high occupancy. The horizontal lines indicate the overall average daily occupancy (which, as noted above, is skewed by the early morning hours). Clusters are arranged largest to smallest (L-R)

As you can see, many of the clusters exceed 80% occupancy during the day. Some clusters, however, are underutilized and perhaps some workstations in those clusters could be replaced with small group workspaces.

Instances of Full Capacity

Another good metric of cluster use is the number of days in which a cluster has at least one occurrence (5 minutes) of full capacity (that is, all the workstations are occupied). This tell us the relative popularity of a cluster.

The instances of peak capacity for Fall 2009 is presented below (click thumbnail for larger version)
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Clusters are arranged largest to smallest (L-R)

As you can see, 12-182 and 56-129 remain highly popular, as does E51-075, as it is the only cluster east of Ames St. Another interesting trend is that all the library clusters (Hayden, Rotch, Barker) experienced days with peak capacity, perhaps indicating the value of these clusters as quiet workspaces.

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