Authors: Lee Gillam; Bin Li; John O'Loughlin
Addresses: Department of Computing, University of Surrey, Guildford, Surrey, GU2 7XH, UK ' Department of Computing, University of Surrey, Guildford, Surrey, GU2 7XH, UK ' Department of Computing, University of Surrey, Guildford, Surrey, GU2 7XH, UK
Abstract: Infrastructure as a Service (IaaS) Clouds offer capabilities for the high-availability of a wide range of systems, from individual virtual machines to large-scale high performance computing (HPC) systems. But it is argued that the widespread uptake for such systems will only happen if Cloud providers, or brokers, are able to offer bilateral service level agreements (SLAs). In this paper, we discuss how to measure and use quality of service (QoS) information to be able to predict availability, quantify risk, and consider liability in case of failure. We demonstrate through this work that there is a pressing need for such an understanding and explore a set of benchmarks that offers an interesting characterisation of resource performance variability which can be quite significant. We subsequently identify how such information might be used both directly by a user and indirectly via a Cloud Broker in the automatic construction and management of SLAs which reference certain kinds of financial portfolios.
Keywords: cloud computing; service level agreements; SLAs; benchmarking; cloud economics; benchmarking; cloud performance; infrastructure as a service; IaaS; quality of service; QoS; availability prediction; risk assessment; liability; financial portfolios.
International Journal of Cloud Computing, 2014 Vol.3 No.1, pp.3 - 23
Published online: 23 Jan 2014 *Full-text access for editors Access for subscribers Purchase this article Comment on this article