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Kecskemeti, G (2015) DISSECT-CF: a simulator to foster energy-aware scheduling in infrastructure clouds. Simulation Modelling Practice and Theory, 58 (2). pp. 188-218. ISSN 1569-190X
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1604.06581v1.pdf - Accepted Version Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (2MB) | Preview |
Abstract
Infrastructure as a service (IaaS) systems offer on demand virtual infrastructures so reliably and flexibly that users expect a high service level. Therefore, even with regards to internal IaaS behaviour, production clouds only adopt novel ideas that are proven not to hinder established service levels. To analyse their expected behaviour, new ideas are often evaluated with simulators in production IaaS system-like scenarios. For instance, new research could enable collaboration amongst several layers of schedulers or could consider new optimisation objectives such as energy consumption. Unfortunately, current cloud simulators are hard to employ and they often have performance issues when several layers of schedulers interact in them. To target these issues, a new IaaS simulation framework (called DISSECT-CF) was designed. The new simulator's foundation has the following goals: easy extensibility, support energy evaluation of IaaSs and to enable fast evaluation of many scheduling and IaaS internal behaviour related scenarios. In response to the requirements of such scenarios, the new simulator introduces concepts such as: a unified model for resource sharing and a new energy metering framework with hierarchical and indirect metering options. Then, the comparison of several simulated situations to real-life IaaS behaviour is used to validate the simulator's functionality. Finally, a performance comparison is presented between DISSECT-CF and some currently available simulators.
| Item Type: | Article |
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| Uncontrolled Keywords: | 0102 Applied Mathematics, 0802 Computation Theory And Mathematics, 0913 Mechanical Engineering |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Computer Science & Mathematics |
| Publisher: | Elsevier |
| Related URLs: | |
| Date Deposited: | 02 Aug 2016 11:20 |
| Last Modified: | 04 Sep 2021 12:39 |
| DOI or ID number: | 10.1016/j.simpat.2015.05.009 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/3973 |
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