Abstract
Monitoring and forecasting of QoS of cloud services is becoming increasingly important with increasing use of cloud computing. Cloud service selection, SLA compliance, service migration and many other areas in current cloud computing research rely on QoS data collected thorough cloud service monitoring. In this paper we have presented the results of our experiments for estimating the self-similarity in cloud service QoS data.
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