Workloads in the Clouds

Maria Carla Calzarossa (), Marco L. Della Vedova (), Luisa Massari (), Dana Petcu (), Momin I. M. Tabash () and Daniele Tessera ()
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Maria Carla Calzarossa: Università degli Studi di Pavia
Marco L. Della Vedova: Università Cattolica del Sacro Cuore
Luisa Massari: Università degli Studi di Pavia
Dana Petcu: Universitatea de Vest din Timişoara
Momin I. M. Tabash: Università degli Studi di Pavia
Daniele Tessera: Università Cattolica del Sacro Cuore

A chapter in Principles of Performance and Reliability Modeling and Evaluation, 2016, pp 525-550 from Springer

Abstract: Abstract Despite the fast evolution of cloud computing, up to now the characterization of cloud workloads has received little attention. Nevertheless, a deep understanding of their properties and behavior is essential for an effective deployment of cloud technologies and for achieving the desired service levels. While the general principles applied to parallel and distributed systems are still valid, several peculiarities require the attention of both researchers and practitioners. The aim of this chapter is to highlight the most relevant characteristics of cloud workloads as well as identify and discuss the main issues related to their deployment and the gaps that need to be filled.

Keywords: Cloud computing; Workload characterization; Monitoring; Resource management; Scheduling; Reliability; Failure (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/978-3-319-30599-8_20

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