Scalable and Fault Tolerant Monitoring of Security Parameters in the Cloud

Abstract

Monitoring cloud resources is an essential part of cloud computing, and although some effort has been made in this direction, monitoring security parameters is still an open issue because of the large number and types of resources available in a multi tenant environment. In this paper we propose a distributed monitoring system that is able to monitor, filter and store security parameters of network hosts. The proposed system is decentralized, fault tolerant and can run scanning jobs in parallel, those three characteristics making it a perfect candidate for monitoring resources in a cloud environment. The proposed monitoring system was validated by a series of tests that demonstrated it's scalability. All the empirical results were analysed and conclusions were formulated based on the observed properties.