Implémentez un partage automatique et sans surveillance des unités de bande pour une multiplicité d'images

Implémentez un partage automatique et sans surveillance des unités de bande pour une multiplicité d'images

IBM Tivoli Automated Tape Allocation Manager for z/OS est conçu pour maximiser les ressources de bandes existantes, réduire les frais généraux opérationnels et améliorer l'efficience du traitement par lots.

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Tivoli Automated Tape Allocation Manager for z/OS

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Features, advantages and benefits

 


FeaturesAdvantagesBenefits
Ensures tape devices are available for use by all images in the sysplex Eliminates requirement to dedicate specific tape devices to specific images Better utilization of tape resources. Available tape drives can be put to work on any job.
Supports global commands, implemented through a TCP/IP-based communication instructure Enables operators to issue global query and control commands from any image within the tapeplex Operators have better information and control at their fingertips
Run in parallel with third party products Allows for additional testing time with ATAM, while still providing access to existing tape management software Simplifies the migration process
New and updated operator commands Can be leveraged to understand tape device activity Helps streamline operations activities and can help to reduce chance for error

 

Business benefits

Automated Tape Allocation Manager for z/OS V2.2 directly addresses tape device availability issues by providing automatic, unattended sharing of tape resources for optimal use across multiple images. Instead of dedicating tape devices to a specific image, Automated Tape Allocation Manager ensures that existing tape drives are available, on demand, for requests from multiple images. As a result, tape drives can be used at maximum capacity instead of sitting idle. This helps reduce tape-related bottlenecks and minimizes the backlog of job requests that require tape drives.

Since your existing tape storage devices can be shared between multiple images, the result is:

Page last updated on October 22, 2007.

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