For many applications with inter-datacenter Cloud deployments it is important to rely on an accurate model of delay times across different geolocations. Unfortunately, such a model is currently not available to researchers and practitioners. To fill that gap, this letter presents a thorough analysis of reallife latency values collected between different Amazon datacenter locations, and proposes a novel Gaussian mixture approximation model of the round-trip time distribution based on Relaxed Boxed Approximation (RBA) algorithm. The proposed model can be effectively used for emulation/simulation of cross-Cloud application and service deployments.

Estimating Delay Times between Cloud Datacenters: A Pragmatic Modelling Approach

Tortonesi, Mauro
Ultimo
2018

Abstract

For many applications with inter-datacenter Cloud deployments it is important to rely on an accurate model of delay times across different geolocations. Unfortunately, such a model is currently not available to researchers and practitioners. To fill that gap, this letter presents a thorough analysis of reallife latency values collected between different Amazon datacenter locations, and proposes a novel Gaussian mixture approximation model of the round-trip time distribution based on Relaxed Boxed Approximation (RBA) algorithm. The proposed model can be effectively used for emulation/simulation of cross-Cloud application and service deployments.
Cerroni, Walter; Foschini, Luca; Grabarnik, Genady Ya.; Shwartz, Larisa; Tortonesi, Mauro
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11392/2381923
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