4 = Sets scsi_verbose flag.

8 = Sets select_debug flag (in libsched select_drive function).

15 = ALL: 1+2+4+8

Enhanced Cache—There are enhancements to the AMASS feature Enhanced Cache Control. The core of AMASS is a cache in which data is held prior to migrating to/from media. The cache is broke up into cache blocks whose size is configurable. Without the Enhanced Cache Control feature turned on, AMASS reuses cache blocks which are the oldest on the cache.

With Enhanced Cache Control the cache blocks are allocated to cache block lists. Each of these lists can then be weighted to control from where cache blocks are acquired. The cache block lists are then associated with AMASS volume groups. AMASS volume groups allow users to group data in a AMASS directory with a set of volumes in the tape/optical library. When associating a volume group to a cache block list, the user can do so for read or writes. So once a file is written to cache, it is then migrated to tape, and could be made to persist in cache by having the file's volume group be associated with a highly weighted cache block list.

Eight cache block priority levels are maintained within the AMASS files system.

Cache block reallocation priorities are established on a volume group basis. No additional controls are provided for individual directories or files.

For each volume group, two cache list priorities (one through eight) are assigned. One list is assigned for reads and the other list is assigned for writes.

For a particular volume group, the priority can be changed dynamically for the read/write priority, but the new priority takes effect for cache blocks accessed or modified after the change.

Each cache list has an additional weighting factor that is used to compute a score for the cache block list. The score for a particular list is the weighting factor multiplied by the access time of the oldest cache block on the list.

A special weighting factor can be assigned specifying that all other cache lists should be searched before this list is searched. This stops the oldest cache block age from being used to create a score for a given cache list.

The weighting factor can be changed dynamically and the new settings immediately take effect.

If the weighting factor is assigned to multiple cache lists, an implied priority is established based on the cache list number (in other words, search the cache list with the lower priority level first).

The special weight factor for list 1 CANNOT be set to zero. Initially, all of the cache blocks available to the system live in the first list and setting the weight factor on this list causes undesired effects. Setting the weight to zero is interpreted by the system as ìonly use this list if no other cache blocks in the system are available.î The moment a file has been written to media and the cache blocks are put back on the free list, the blocks will be re-used immediately, even if there are thousands of unused cache blocks available on list one (with a weight of zero).

A cache block is reallocated from the list with the highest score for all eight cache priority lists.

All cache blocks exist on one list. Cache block reallocation occurs on a first-in-first-out basis.

medialist—Users with large volumes can limit the medialist output to show only drive status.

Usage: ./medialist [-v] [-j jukebox_number] [-D] [-V] [-T] [-M] [-x] [-j]; where:

-DShows Drive information only.

-vShows barcode information (Valid only for SCSI attached libraries).

-VShows volume information only.

-TShows Transport information only (not valid for network attached library).

-MShows Mailbox information only (not valid for network attached library).

© December 2004, ADIC

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ADIC 5.4 manual December 2004, Adic

5.4 specifications

ADIC 5.4 is the latest iteration of the Advanced Data Integrity Checker (ADIC), designed to bolster data security and ensure reliability in digital ecosystems. This version introduces a host of features and technologies that enhance the robustness of data management systems across various industries.

One of the most significant features of ADIC 5.4 is its advanced error detection and correction capabilities. Utilizing sophisticated algorithms, this tool can identify discrepancies in data integrity caused by corruption, unexpected changes, or malicious tampering. By promptly flagging these issues, ADIC minimizes the risk of data loss and ensures that organizations can maintain high standards of reliability.

Another key characteristic of ADIC 5.4 is its integration with Artificial Intelligence (AI) and Machine Learning (ML). These technologies allow the system to learn from previous data patterns, improving its detection and correction efficiency over time. By leveraging AI, ADIC can predict potential vulnerabilities, providing organizations with actionable insights to preemptively address data risks.

ADIC 5.4 also boasts enhanced compatibility with cloud-based environments. As more businesses migrate to the cloud, the need for tools that can seamlessly integrate and secure data stored in decentralized locations becomes critical. ADIC 5.4’s multi-platform support ensures that users can validate data integrity, regardless of where it resides, whether in on-premises systems or across multiple cloud providers.

Furthermore, the user interface has been revamped for better usability, featuring intuitive dashboards that present complex data insights in an easily digestible format. This allows users of varying expertise levels to navigate the system efficiently, promoting quick decision-making in critical situations.

The implementation of real-time monitoring within ADIC 5.4 is another noteworthy characteristic. This enables organizations to receive immediate alerts on data integrity issues, allowing for swift remediation actions. The system’s ability to generate comprehensive reports aids in compliance with regulations and internal policies, supporting organizations in maintaining transparency and accountability.

In summary, ADIC 5.4 represents a pivotal advancement in data integrity verification technologies. With its powerful error detection, AI integration, cloud compatibility, improved user interface, and real-time monitoring capabilities, it provides organizations with the tools necessary to safeguard their data assets effectively. As data security remains a paramount concern, solutions like ADIC 5.4 are essential for maintaining trust and efficiency in digital operations.