Overview

QStar has extended the boundaries of Storage Management with the addition of real-time Mirroring to provide solutions to the most challenging network storage issues. By taking the security of a transaction logging cache, a system independent disk format and adding event based mirroring, QStar Data Director can now make your data even more secure and accessible than ever before.

Features

All the Features of QStar HSM By incorporating all of the standard features found in QStar HSM, Data Director’s proven algorithms ensure the accessibility and the security of the data. The most frequently used data and all directories for mounted volumes are held in a high performance magnetic disk cache to ensure unsurpassed on-line archival performance. Mirroring Multiple logical volumes may be combined to create a Mirror Set. With data mirrored continuously at a transaction level, both the primary and the secondary logical volumes are always exact duplicates. The logical volumes may be in different jukeboxes and in different locations on a LAN or even a worldwide WAN, and may even be of different archival media types. Hot Standby In a Mirror Set, one volume automatically becomes a Hot Standby for the other volume. QStar software will sense if a volume becomes unavailable and continue to service read and write requests to and from the remaining volume. The result is increased productivity through reduced storage down time. Automatic Re-Synchronization of Data In the unlikely event of a jukebox failure, data migration to the remaining volume is still available to ensure continued data security. When returned on-line, the previously unavailable volume is automatically re-synchronized ensuring both volumes continue to accurately mirror the data. Load Balancing In environments where user requests exceed the throughput capability of the jukebox, and where multiple jukeboxes are available, QStar software automatically services read requests from both mirrored devices. With Load Balancing, users maintain fast data access at peak periods.