Despite the fast evolution of cloud computing, up to now the characterization of cloud workloads has received little attention. Neverthe- less, a deep understanding of their properties and behavior is essential for an e ective 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 re- searchers 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 lled.

Calzarossa, M., Della Vedova, M. L., Massari, L., Petcu, D., Tabash, M., Tessera, D., Workloads in the Clouds, in Fiondella, L. P. A. (ed.), Principles of Performance and Reliability Modeling and Evaluation, Springer, Berlino 2016: 525- 550. 10.1007/978-3-319-30599-8_20 [http://hdl.handle.net/10807/78689]

Workloads in the Clouds

Della Vedova, Marco Luigi;Tessera, Daniele
Ultimo
2016

Abstract

Despite the fast evolution of cloud computing, up to now the characterization of cloud workloads has received little attention. Neverthe- less, a deep understanding of their properties and behavior is essential for an e ective 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 re- searchers 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 lled.
Italiano
Principles of Performance and Reliability Modeling and Evaluation
978-3-319-30599-8
Springer
Calzarossa, M., Della Vedova, M. L., Massari, L., Petcu, D., Tabash, M., Tessera, D., Workloads in the Clouds, in Fiondella, L. P. A. (ed.), Principles of Performance and Reliability Modeling and Evaluation, Springer, Berlino 2016: 525- 550. 10.1007/978-3-319-30599-8_20 [http://hdl.handle.net/10807/78689]
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10807/78689
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