Abstract
The predicted prevalence of both Internet of Things (IoT) based devices and the concept of Software Defined Networking (SDN) as a new paradigm in networking, means that consideration is required for how they will interact. Current SDN implementations operate on the principle that on receiving an unrecognised packet, a switch will query a centralised controller for a corresponding rule. Memory limitations within current switch devices dictate that this rule can only be stored for a short period of time before being removed, thus making it likely that the relatively infrequent data samples sent from IoT devices will have a transmission interval longer than this timeout. This paper proposes a Pre-emptive Flow Installation Mechanism (PFIM) that dynamically learns the transmission intervals of periodic network flows and installs the corresponding rules within a switch, prior to the arrival of a packet. A proof-of-concept implementation shows this to have a significant effect on reducing the delay experienced by these flows. � 2015 IEEE.
Original language | English |
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Pages | 124-130 |
Number of pages | 7 |
Publication status | Published (VoR) - 2015 |
Keywords
- IoT
- Pre-emptive Flow Installation
- SDN
- SDN Performance
- Big data
- Internet
- Software defined networking
- Current switches
- Internet of Things (IOT)
- Periodic networks
- Proof of concept
- Short periods
- Software defined networking (SDN)
- Transmission intervals
- Internet of things