A computational model to support in-network data analysis in federated ecosystems
| Autor: | Manish Parashar, Javier Diaz-Montes, Omer Rana, Mengsong Zou, Ali Reza Zamani, Ioan Petri |
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| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
QA75
Service (systems architecture) Computer Networks and Communications Computer science business.industry Distributed computing 020206 networking & telecommunications 02 engineering and technology Hardware and Architecture Path (graph theory) 0202 electrical engineering electronic engineering information engineering Leverage (statistics) 020201 artificial intelligence & image processing Data center Ecosystem business Software-defined networking Software Building automation |
| ISSN: | 0167-739X |
| Popis: | 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 (SDN) 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. Results 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. |
| Databáze: | OpenAIRE |
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