The limit on archiving depth is large enough to encompass any web
site but is applied in order to thwart regressive interrogation
of the server hosting the web site being harvested. Other limitations
on the harvester are applied so as to reduce the likelihood of aggressive
harvesting including a limit of six connections per server accessed
and a transfer rate of 50 Kb per second. A download limit of one
gigabyte is also applied although this is more to facilitate functionality
within the bandwidth available to the National Library.
As a web archiving system PANDAS is primarily designed to manage
the harvesting (downloading) of files from the web. However the
system also supports an uploading functionality. While the ability
to upload files is an essential component of the quality assurance
process associated with harvested resources (see below) it can also
be used to ingest new resources (whether single files, multiple
files or whole web sites) from a local drive. This procedure may
typically be used when a site cannot be successfully harvested from
the web and the publisher has supplied the files by other means
(e.g. FTP or on CD). It is also commonly used for uploading publications
supplied as email attachments. The ability to upload from local
drives to the working area server is achieved using the WebDAV protoco
. In order to do this an empty archive instance (i.e. an archive
directory path) must first be created to which the uploaded files
can be added. This simply involves selecting this method from the
options available in the gather module interface. As with harvesting,
this upload process can be initiated either at the time of upload
or can be scheduled. Uploading to the archive can only be done by
authorized PANDAS users, not by external parties.
The PANDAS interface allows the user to view the gather queues which
identify titles in the process of harvesting, those waiting to be
harvested and those that have finished harvesting and are awaiting
quality assurance processing. The title owner or Agency Administrator
can pause, stop or delete the harvest when displayed in the gather
queues. To further control the use of bandwidth, currently PANDAS
allows only four titles to be downloaded concurrently. If there
are more titles set to be harvested than there are available connections,
they will queue in a waiting list until a connection becomes available.
Scheduled harvests are commenced after midnight on the day they
are scheduled to run, so most (if not all) the harvesting is usually
completed before staff commence work. However common practice is
to also to initiate immediate harvest requests during working hours
to suit agency or individual workflows.
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