Authors: Massimiliano Rak; Antonio Cuomo; Umberto Villano; Giuseppe Aversano
Addresses: Dipartimento di Ingegneria dell'Informazione, Seconda Università di Napoli, Aversa, Via Roma 29, Italy ' Dipartimento di Ingegneria, Università del Sannio, Benevento, Palazzo Bosco Lucarelli, Italy ' Dipartimento di Ingegneria, Università del Sannio, Benevento, Palazzo Bosco Lucarelli, Italy ' Dipartimento di Ingegneria, Università del Sannio, Benevento, Palazzo Bosco Lucarelli, Italy
Abstract: The pay-per-use business model is one of the key factors for the success of the cloud computing paradigm: resources are acquired only when needed and charged on the basis of their actual usage. The execution of applications in the cloud implies costs that depend on the usage of the leased resources and on the resource pricing model adopted by the providers. This paper presents a technique to evaluate the tradeoff between costs and performance of cloud applications through the use of benchmarks and simulation. Given a mOSAIC cloud application, it is possible to predict performance indexes and resource consumption under generic workloads. This makes it possible to choose the deployment on the resources of the provider that guarantees the desired performance levels and minimises the costs for executing the application.
Keywords: discrete-event simulation; DES; performance prediction; cloud computing; cost prediction; cloud applications; resource pricing models; simulation; resource consumption; resource deployment.
International Journal of Cloud Computing, 2015 Vol.4 No.1, pp.28 - 46
Available online: 23 Feb 2015Full-text access for editors Access for subscribers Purchase this article Comment on this article