Gavel: A Fast and Easy-to-Use Plain Data Representation for Software-Defined Networks

• Published in: IEEE eTransactions on network and service management Vol. 16; no. 2; pp. 606 - 617
• Main Authors: Barakat, Osamah L., Koll, David, Fu, Xiaoming
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.06.2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Controller; Engines; graph; Graphical representations; Libraries; Programming; Relational data bases; Relational databases; Software; Software-defined networking; software-defined networks; Task analysis; Topology; Writing
• ISSN: 1932-4537; 1932-4537
• DOI: 10.1109/TNSM.2019.2903440

In software-defined networking (SDN), high-level abstractions typically offer a useful means to avoid writing network applications and policies on lower levels. However, abstractions are typically developed for a specific use case, which in turn results in an abundance of existing abstractions for different networking tasks. As a consequence, orchestrating these abstractions to implement a common network policy becomes an arduous task. To address this challenge, plain data representations of the network and its control infrastructure have been proposed recently, which offer programmable ad-hoc abstractions to administrators. However, these frameworks suffer from quite complex programming requirements and impractical performance in terms of latency, as they are based on relational database engines. In this paper, we address these shortcomings by introducing Gavel, an SDN controller that at its heart facilitates a plain data representation based on a graph database. By exploiting the native graph support of the database engine, Gavel significantly eases application and policy writing. Additionally, we show by experimental evaluation of several typical applications on multiple different topologies that Gavel offers significant performance improvements over the state-of-the-art solutions.