Adaptive and hybrid idle–hard timeout allocation and flow eviction mechanism considering traffic characteristics

• Main Authors: Isyaku, Babangida, Abu Bakar, Kamalrulnizam, Mohd. Zahid, Mohd. Soperi, Yusuf, Muhammed Nura
• Format: Article
• Language: English
• Published: MDPI AG 2020
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/91922/1/KamalrulnizamAbuBakar2020_AdaptiveandHybridIdle%E2%80%93HardTimeoutAllocation.pdf; http://eprints.utm.my/id/eprint/91922/; http://dx.doi.org/10.3390/electronics9111983

Software-defined networking (SDN) enables flexible fine-grained networking policies by allowing the SDN controller to install packet handling rules on distributed switches. The behaviour of SDN depends on the set of forwarding entries installed at the switch flow table. The increasing number of traffics from the proliferation of the Internet of Thing (IoT) devices increase the processing load on the controller and generates an additional number of entries stored in the flow table. However, the switch flow table memory (TCAM) cannot accommodate many entries. Packets from multimedia flows are usually large in size and thus suffer processing delay and require more flow set up requests. The SDN controller may be overloaded and face some scalability problems because it supports a limited number of requests from switches. OpenFlow uses timeout configuration to manage flow setup request. The conventional fixed timeout cannot cope up with the dynamic nature of traffic flows. This paper controls the frequent flow setup requests by proposing an adaptive and hybrid idle–hard timeout allocation (AH-IHTA). The algorithm considers traffic patterns, flow table usage ratio, and returns appropriate the timeout to different flows. The performance evaluations conducted have shown a 28% and 39% reduction in the flow setup request and flow eviction, respectively.