Title :
Pre-emptive Flow Installation for Internet of Things Devices within Software Defined Networks
Author :
Peter Bull;Ron Austin;Mak Sharma
Author_Institution :
Sch. of Comput., Birmingham City Univ., Birmingham, UK
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.
Keywords :
"Control systems","Standards","Software","Performance evaluation","Temperature sensors","Delays"
Conference_Titel :
Future Internet of Things and Cloud (FiCloud), 2015 3rd International Conference on
DOI :
10.1109/FiCloud.2015.87