What is it about?
In this work, we present a superior damage assessment and recovery algorithm that is centered on agents. Our hybrid lightweight approach is based on clustering database transactions based on a given set of criteria using graphs to keep track of transactional dependencies.
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Why is it important?
Our model allows for: (1) parallel information processing—which makes recovery more effectual, (2) separation of concerns—which makes it easier to maintain a given data structure, (3) attack/problem isolation where a malicious transaction will be isolated from the remaining unharmed parts of database (the undamaged parts of the database can remain ‘live’ and there is no need to take them offline, and (4) easier scaling as bottlenecks are diminished.
Read the Original
This page is a summary of: Information reconciliation through an agent-controlled graph model, Soft Computing, March 2020, Springer Science + Business Media, DOI: 10.1007/s00500-020-04779-x.
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