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https://doi.org/10.1109/etfa.2...
Article . 2015 . Peer-reviewed
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Adapting SDN datacenters to support Cloud IIoT applications

Authors: Pedro Gonçalves 0001; Joaquim Ferreira 0001; Paulo Pedreiras; Daniel Corujo;

Adapting SDN datacenters to support Cloud IIoT applications

Abstract

IIoT (Industrial Internet of Things) cloud applications require reliable, fault-tolerant networks, supporting real-time guarantees and allowing interaction with other applications already existing in the datacenter. The Software Defined Networks (SDN) paradigm is especially suited for the management of the network cloud because of its fine grained admission control and the management flexibility provided by the centralized resource management. This paper presents a SDN management approach for IIoT datacenters, which provides an efficient fault-tolerant network, enabled with deterministic QoS guarantees. By taking advantage of a centralized resource management mechanism, the proposed solution integrates topology definition with resource allocation, allowing to efficiently distribute available network resources for admitted packet flows.

Country
Portugal
Related Organizations
Keywords

SDN, Redundancy management, Resource management, Cloud datacenter

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    11
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Top 10%
Top 10%
Top 10%