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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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