Diagnosis of asynchronous discrete event systems: datalog to the rescue!

We consider query optimization techniques for data intensive P2P applications. We show how to adapt an old technique from deductive databases, namely Query-Sub-Query (QSQ), to a setting where autonomous and distributed peers share large volumes of interelated data. We illustrate the technique with an important telecommunication problem, the diagnosis of distributed telecom systems. We show that (i) the problem can be modeled using Datalog programs, and (ii) it can benefit from the large battery of optimization techniques developed for Datalog. In particular, we show that a simple generic use of the extension of QSQ achieves an optimization as good as that previously provided by dedicated diagnosis algorithms. Furthermore, we show that it allows solving efficiently a much larger class of system analysis problems.

• Type: Conference
• Year: 2005
• Where: PODS
• Authors: Serge Abiteboul, Stefan Haar, Tova Milo, Zoë Abrams
• Keywords: Database, Distributed Peers Share, Important Telecommunication Problem, PODS 2005, Query Optimization Techniques