Second Open Call for Funding - (CLOSED) [The second open call has closed] BonFIRE is looking for Testing Experiments that want to trial on the Cloud software prototypes or results of services R&D Internet of Services projects. The experiments should exploit the unique features of BonFIRE facility within one or more of the three usage scenarios. Experiments shall propose innovative usage scenarios exploiting the multiple dimensions and scale of the facility. Furthermore, as part of the Open Call, the project also seeks a Cloud provider to become a BonFIRE federated site and to enable the deployment of experiments. The profile of the company we are looking to engage with is a private/public cloud infrastructure provider with access to their own platform and the ability to support the creation of a new BonFIRE testbed on its infrastructure. For more information to start preparing your application, please click [here]. Application guidelines for experiments are available [here] and guidelines for Cloud Infrastructure Provider are available [here]. Experiments |
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Feature Story - QoS Oriented Service Engineering
One of the three 'driving' experiments in BonFIRE has recently published initial results in the IEEE CloudCom conference in Athens, Nov 29 - Dec 1, 2011.
Paper abstract:
"With increasing availability of Cloud computing services,
this paper addresses the challenge consumers of Infrastructure-as-a-Service
(IaaS) have in determining which IaaS provider and resources are best suited to
run an application that may have specific Quality of Service (QoS)
requirements. Utilising application modelling to predict performance is an
attractive concept, but is very difficult with the limited information IaaS
providers typically provide about the computing resources. This experiment
investigates into using Dwarf benchmarks to measure the performance of
virtualised hardware, conducting experiments on BonFIRE and Amazon EC2. The results
demonstrate that labels such as ‘small’, ’medium’, ’large’ or a number of ECUs
are not sufficiently informative to predict application performance, as one
might expect. Furthermore, knowing the CPU speed, cache size or RAM size is not
necessarily sufficient either as other complex factors can lead to significant
performance differences. We show that different hardware is better suited for
different types of computations and, thus, the relative performance of aries across hardware. This is reflected well by Dwarf benchmarks
and we show how different applications correlate more strongly with different
Dwarfs, leading to the possibility of using Dwarf benchmark scores as
parameters in application models."
Phillips, S., Engen, V. and Papay, J. (2011) "Snow White Clouds and the Seven Dwarfs", Proceedings of the IEEE International Conference and Workshops on Cloud Computing Technology and Science (CloudCom).
Click [here] for more information about the experiment.
