This paper presents an analytical hardware model for tertiary-storage jukeboxes. A jukebox can store large amounts of data in a cost-effective way, which makes it eminently suitable for applications that handle large amounts of continuous-media files, large databases and backups. However, to use a jukebox effectively it is important to schedule the jukebox resources. In order to build accurate schedules we need good predictions of the jukebox performance, which are provided by the hardware model. We also use this model to simulate jukeboxes.
|Name||CTIT Technical Report Series|
- CAES-PS: Pervasive Systems