Dynamic adaptive distributed computer system
Abstract
A system, methods and apparatus are described involving the self-organizing dynamics of networks of distributed computers. The system is comprised of complex networks of databases. The system presents a novel database architecture called the distributed transformational spatio-temporal object relational (T-STOR) database management system (dbms). Data is continuously input, analyzed, organized, reorganized and used for specific commercial and industrial applications. The system uses intelligent mobile software agents in a multi-agent system in order to learn, anticipate, and adapt and to perform numerous functions, including search, analysis, collaboration, negotiation, decision making and structural transformation. The system links together numerous complex systems involving distributed networks to present a novel model for dynamic adaptive computing systems, which includes plasticity of collective behavior and self-organizing behavior in intelligent system structures.
Claims
exact text as granted — not AI-modified1 . A system for organizing a database management system (dbms) comprising:
computer microprocessors; a computer operating system; a distributed transformational spatio-temporal object relational (T-STOR) dbms; and data objects; wherein the computer microprocessors use the computer operating system to organize data in the distributed T-STOR dbms; and wherein the data objects are stored in specific locations of the distributed T-STOR dbms.
2 . A system of claim 1 wherein:
the data objects in the distributed T-STOR dbms are temporal objects that transform over time; and
the data objects are organized by temporal priority.
2 . A system of claim 1 wherein:
the data objects are presented to at least one data router in the distributed network;
the at least one data router inputs the data sets in the distributed T-STOR dbms; and
the data objects are organized by temporal priority from the highest priority to the lowest priority.
4 . A system of claim 1 wherein:
as the environment changes, the temporal priorities change; and
the dynamic data storage in the distributed T-STOR dbms reorders data inputs in at least two locations.
5 . A system of claim 1 wherein:
a stream of data objects are organized in the distributed T-STOR dbms; and
when the data objects activate a specific threshold, the distributed T-STOR dbms transforms its structure.
6 . A system of claim 5 wherein:
the data object stream is reorganized according to temporal priority in the restructured distributed T-STOR dbms.
7 . A system of claim 1 wherein:
when an object is searched in the restructured distributed T-STOR dbms,
the object is located in a reprioritized storage location.
8 . A system for organizing a database management system (dbms) comprising:
computer microprocessors; a computer operating system; a distributed transformational spatio-temporal object relational (T-STOR) dbms; and a plurality of data objects; wherein the computer microprocessors use the computer operating system to organize data in the distributed T-STOR dbms; and wherein the plurality of data objects are stored in specific locations of the distributed T-STOR dbms in a parallel process.
9 . A system of claim 8 wherein:
the plurality of data objects are temporal objects organized by temporal priority.
10 . A system of claim 8 wherein:
when the plurality of data objects in the distributed T-STOR dbms achieve a specific aggregate threshold, the dbms transforms its structure; and
data objects are stored in different locations of the dbms than those in which they were originally stored.
11 . A system of claim 10 wherein:
after the distributed T-STOR dbms transforms its structure, the data objects are retrieved from different locations.Join the waitlist — get patent alerts
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