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Istituto di Scienza e Tecnologie dell'Informazione     
Anastasi G. F., Carlini E., Coppola M., Dazzi P. QBROKAGE: a genetic approach for QoS cloud brokering. In: CLOUD - 7th IEEE International Conference on Cloud Computing (Anchorage, AK, USA, June 27 - July 2 2014). Proceedings, pp. 304 - 311. IEEE, 2014.
 
 
Abstract
(English)
The broad diffusion of Cloud Computing has fostered the proliferation of a large number of cloud computing providers. The need of Cloud Brokers arises for helping consumers in discovering, considering and comparing services with different capabilities and offered by different providers. Also, consuming services exposed by different providers, when possible, may alleviate the vendor lock-in. While it can be straightforward to choose the best provider when deploying small and homogeneous applications, things get harder if the size and complexity of applications grow up. In this paper we propose a genetic approach for Cloud Brokering, focusing on finding Infrastructure-as-a-Service (IaaS) resources for satisfying Quality of Service (QoS) requirements of applications. We performed a set of experiments with an implementation of such broker. Results show that our broker can find near-optimal solutions even when dealing with hundreds of providers, trying at the same time to mitigate the vendor lock-in.
URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6973755
DOI: 10.1109/CLOUD.2014.49
Subject Cloud Computing
Cloud Brokering
Genetic Algorithms
F.1.1 Models of Computation
J.2 Physical sciences and engineering


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