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Tejfel Máté

Publications and source records attributed to Tejfel Máté.

2 recordsLinked to original sources

Some optimization possibilities in data plane programming

Software-defined networking (SDN) technology aims to create a highly flexible network by decoupling control plane and the data plane and programming them independently. There has been a lot of research on improving and optimizing the control plane, and data plane programming is a relatively new concept, so study on it is one of the hot topics for researchers. At the 2019 Dagstuhl Seminar, well-known scientists on computer networking discussed challenges and problems in the field of data plane programming that need to be addressed over the next 10 years. Based on this seminar issues and papers review, we suggested some possible solutions which are for optimizing data plane to improve packet processing performance and link utilization. The suggestions include (i) enriching data plane language with asynchronous external function, (ii) compression based on payload size, (iii) in-network caching for fast packet processing, and (iv) offloading external functions to an additional thread, virtual machine (VM) or server, etc. In addition, we implemented some of these in the P4 data plane language to illustrate the practicality.

cs.NI↗

Survey on some optimization possibilities for data plane applications

By programming both the data plane and the control plane, network operators can customize their networks based on their needs, regardless of the hardware manufacturer. Control plane programming, a major component of the SDN (Software Defined Network) concept, has been developed for more than 10 years and successfully implemented in real networks. Efforts to develop reconfigurable data planes and high-level network programming languages make it truly possible to program data planes. Therefore, the programmable data planes and SDNs offer great flexibility in network customization, allowing many innovations to be introduced on the network. The general focus of research on the data plane is data-plane abstractions, languages and compilers, data plane algorithms, and applications. This paper outlines some emerging applications on the data plane and offers opportunities for further improvement and optimization.

cs.NI↗