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2016 IEEE Symposium on Service-Oriented System Engineering (SOSE) (2016)
Oxford, United Kingdom
March 29, 2016 to April 2, 2016
ISBN: 978-1-5090-2253-3
pp: 81-90
ABSTRACT
Software-defined networks (SDNs) have proven to be an efficacious tool for undertaking complex data analysis and manipulation within data intensive applications. SDN technology allows us to separate the data path from the control path, enabling in-network processing capabilities to be supported as data is migrated across the network. We propose to leverage software defined networking to gain control over the data transport service with the purpose of dynamically establishing data routes such that we can opportunistically exploit the latent computational capabilities located along the network path. This strategy allows us to minimize waiting times at the destination data center and to cope with spikes in demand for computational capability. We validate our approach using a smart building application in a multi cloud infrastructure. We show how the in-transit processing strategy increases the computational capabilities of the infrastructure and influences the percentage of job completion without significantly impacting costs and overheads.
INDEX TERMS
Buildings, Computational modeling, Cloud computing, Optimization, Temperature measurement, Temperature sensors
CITATION

M. Zou, A. R. Zamani, J. Diaz-Montes, I. Petri, O. Rana and M. Parashar, "Leveraging In-Transit Computational Capabilities in Federated Ecosystems," 2016 IEEE Symposium on Service-Oriented System Engineering (SOSE), Oxford, United Kingdom, 2016, pp. 81-90.
doi:10.1109/SOSE.2016.15
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