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Software-defined Networking is an approach that decouples the software-basedcontrol plane from the hardware-based data plane proposed for enterprisenetworks; OpenFlow is the most famous flexible protocol that can manage networktraffic between the control and the data plane. Software-Defined Networking(SDN) requires up to 18 fields of the packets header to be checked against abig many-fields ruleset to categorize packets into flows, the process ofcategorizing packets into flows is called packet classification. Networkswitches process all packets belonging to the same flow in a similar manner byapplying the same actions defined in the corresponding rule. Packetclassification facilitates supporting new services such as filtering, blockingunsafe sites traffic, routing packets based on the packet's header information,and giving priority to specific flows. High-performance algorithms formany-field packet classification had been gained much interest in the researchcommunities. This paper presents a new method to implement the many-fieldspacket classification of SDN flow table using Rectangle Tree (R-Tree). In thismethod, source and destination IP addresses from each flow table entry havebeen converted to a two-dimensional point. The remainders of the rule's fieldshave been concatenated into a single field by taking the most important bitswith rules' ID in order to be inserted into the R-tree, for each rule aneffective small binary flag is used to indicate the field's size, type, andranges. Subsequently, searching is performed on the rectangle tree to find thematched rules according to the highest priority. In the simulation using theclass-bench databases, the results show that this method achieves very goodperformance, classification speed and reduces the number of memory accessessignificantly.

Many-fields Packet Classification Using R-Tree and Field Concatenation Technique