Can I read A Novel Method for the Synthetic Generation of Non-I.I.D Workloads for Cloud Data Centers on EtoBox?

A Novel Method for the Synthetic Generation of Non-I.I.D Workloads for Cloud Data Centers by Furkan Koltuk; Ece Guran Schmidt is a scholarly article available to read on EtoBox.

What is A Novel Method for the Synthetic Generation of Non-I.I.D Workloads for Cloud Data Centers about?

Cloud data center workloads have timedependencies and are hence non-i.i.d (independent and identically distributed). In this paper, we propose a new model-based method for creating synthetic workload traces for cloud data centers that have similar time characteristics and cumulative distributions to those of the actual traces. We evaluate our method using the actual resource request traces of Azure collected in 2019 and the well-known Google cloud trace. Our method enables generating synthetic traces that can be used for a more realistic evaluation of cloud data centers.

Author

Furkan Koltuk; Ece Guran Schmidt

Published

2020

Language

EN