A Compiler and Run-time System for Network Programming Languages

Abstract

Software-defined networks (SDNs) are a new kind of network architecture in which a controller machine manages a distributed collection of switches by instructing them to install or uninstall packet-forwarding rules and report traffic statistics. The recently formed Open Networking Consortium, whose members include Google, Facebook, Microsoft, Verizon, and others, hopes to use this architecture to transform the way that enterprise and data center networks are implemented. In this paper, we define a high-level, declarative language, called NetCore, for expressing packet-forwarding policies on SDNs. Net- Core is expressive, compositional, and has a formal semantics. To ensure that a majority of packets are processed efficiently on switches--instead of on the controller--we present new compilation algorithms for NetCore and couple them with a new run-time system that issues rule installation commands and traffic-statistics queries to switches. Together, the compiler and run-time system generate efficient rules whenever possible and outperform the simple manual techniques commonly used to program SDNs today. In addition, the algorithms we develop are generic, assuming only that the packet-matching capabilities available on switches satisfy some basic algebraic laws. Overall, this paper delivers a new design for a high-level network programming language; an improved set of compiler algorithms a new run-time system for SDN architectures; the first formal semantics and proofs of correctness in this domain; and an implementation and evaluation that demonstrates the performance benefits over traditional manual techniques.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2012
Accession Number
ADA632847

Entities

People

  • Christopher Monsanto
  • David Walker
  • Nate Foster
  • Rob Harrison

Organizations

  • Cornell University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Compilers
  • Computer Programming
  • Computer Science
  • Computing System Architectures
  • Data Centers
  • High Level Languages
  • Infrastructure
  • Language
  • Network Architecture
  • Networks
  • Notation
  • Programming Languages
  • Semantics
  • Software Defined Networks
  • Statistics
  • Test And Evaluation

Fields of Study

  • Computer science

Readers

  • Computational Linguistics
  • Computer Networking
  • Database Systems and Applications