Cloud services may suffer from outages, which interrupt customers' activities and result in economic losses. A linear model is proposed here to translate outages into economic losses, accounting for both the frequency and the duration of outages. Two tools, the exceedance loss probability and the Value-at-Risk, are employed to assess the maximum economic exposure of a customer. The use of both tools is demonstrated by applying them to a dataset concerning five major cloud providers. Those tools can be employed to drive the choice of a cloud provider towards the least risky one.
Naldi, M. (2017). Evaluation of customer’s losses and value-at-risk under cloud outages. In 40th International Conference on Telecommunications and Signal Processing (TSP) (pp.12-15). IEEE [10.1109/TSP.2017.8075927].
Evaluation of customer’s losses and value-at-risk under cloud outages
Naldi M.
2017-01-01
Abstract
Cloud services may suffer from outages, which interrupt customers' activities and result in economic losses. A linear model is proposed here to translate outages into economic losses, accounting for both the frequency and the duration of outages. Two tools, the exceedance loss probability and the Value-at-Risk, are employed to assess the maximum economic exposure of a customer. The use of both tools is demonstrated by applying them to a dataset concerning five major cloud providers. Those tools can be employed to drive the choice of a cloud provider towards the least risky one.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
