Abstract

We present an algorithm for the automated verification of Linear Temporal Logic formulae on event traces using an increasingly popular cloud computing framework called MapReduce. The algorithm can process multiple, arbitrary fragments of the trace in parallel, and compute its final result through a cycle of runs of MapReduce instances. Experimentation on a variety of cloud-based MapReduce frameworks, including Apache Hadoop, show how complex LTL properties can be validated in reasonable time in a completely distributed fashion. Compared to the classical LTL evaluation algorithm, results show how the use of a MapReduce framework can provide an interesting alternative to existing trace analysis techniques, performance-wise, under favourable conditions.

Highlights

  • Over the recent years, the volume and complexity of interactions between information systems has been steadily increasing

  • As we shall see in Section ‘Trace validation use cases’, there exists a variety of scenarios where event traces are subject to sequencing constraints, and the use of a language such as Linear Temporal Logic represents a reasonable mean of expressing these constraints formally

  • The present paper addresses this issue by presenting a parallelizable algorithm for the automated validation of Linear Temporal Logic (LTL) properties in event traces

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Summary

Introduction

The volume and complexity of interactions between information systems has been steadily increasing. Large amounts of data are gathered about these interactions, forming a trace of events, called a log, that can be stored, mined, and audited. Web servers, operating systems, database engines and business processes of various kinds all produce event logs, crash reports, test traces or dumps in some format or another. The specification generally relates events to some sequence of actions, method calls or events: the validity of each event cannot be assessed individually, but must rather be evaluated according to the event’s position with respect to surrounding events, both before and after. As we shall see in Section ‘Trace validation use cases’, there exists a variety of scenarios where event traces are subject to sequencing constraints, and the use of a language such as Linear Temporal Logic represents a reasonable mean of expressing these constraints formally

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