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In the storage architecture of OS/360 and successors, CMS, and DOS/360 and successors, the Volume Table of Contents (VTOC) is a data structure that provides a way of locating the data sets that reside on a particular DASD volume. With the exception of the IBM Z compatible disk layout in Linux on Z, it is the functional equivalent of the MS/PC DOS File…
The analysis highlights Art, Overview and Data Set Control Block types as prominent areas in the source structure around Volume Table of Contents.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
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See recurring relationship patterns around Volume Table of Contents before inspecting the individual extracted relationships.
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vtoc volume data dasd format set dscb os location ibm 360 disk contain dos dscbs sets storage successors table equivalent
TTTA extracted structured relationships around Volume Table of Contents. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|
The concept neighborhoods around Volume Table of Contents bring nearby vocabulary together. In this analysis, examples include Location, Equivalent and Master. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Volume Table of Contents, one of the stronger structural bridges in this analysis connects Volume Table of Contents with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Volume Table of Contents to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Art, Overview & Data Set Control Block types, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Volume Table of Contents · EN edition · Analysis: TopicsToTalkAbout