Joint Optimization of Rule Placement and Traffic Engineering for QoS Provisioning in Software Defined Network PROJECT TITLE :Joint Optimization of Rule Placement and Traffic Engineering for QoS Provisioning in Software Defined NetworkABSTRACT:Software-Defined Network (SDN) may be a promising network paradigm that separates the control plane and data plane in the network. It has shown nice blessings in simplifying network management such that new functions can be simply supported while not physical access to the network switches. But, Ternary Content Addressable Memory (TCAM), as a important hardware storing rules for prime-speed packet processing in SDN-enabled devices, will be provided to each device with very restricted amount as a result of it is expensive and energy-consuming. To efficiently use TCAM resources, we tend to propose a rule multiplexing scheme, in that the identical system deployed on every node apply to the whole flow of a session longing but towards totally different ways. Based on this theme, we tend to study the rule placement problem with the objective of minimizing rule space occupation for multiple unicast sessions below QoS constraints. We tend to formulate the optimization problem jointly considering routing engineering and rule placement under both existing and our rule multiplexing schemes. Via an extensive review of the state-of-the-art work, to the best of our knowledge, we tend to are the first to check the non-routing-rule placement problem. Finally, intensive simulations are conducted to show that our proposals significantly outperform existing solutions. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Combined Channel Access and Sensing in Cognitive Radio Slotted-ALOHA Networks Executive Roundtable Series: Driving Higher ROI and Organizational Change
