E2: A framework for NFV applications

Shoumik Palkar, Chang Lan, Sangjin Han, Keon Jang, Aurojit Panda, Sylvia Ratnasamy, Luigi Rizzo, Scott Shenker

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

By moving network appliance functionality from proprietary hardware to software, Network Function Virtualization promises to bring the advantages of cloud computing to network packet processing. However, the evolution of cloud computing (particularly for data analytics) has greatly benefited from application-independent methods for scaling and placement that achieve high efficiency while relieving programmers of these burdens. NFV has no such general management solutions. In this paper, we present a scalable and application-agnostic scheduling framework for packet processing, and compare its performance to current approaches.

Original languageEnglish (US)
Title of host publicationSOSP 2015 - Proceedings of the 25th ACM Symposium on Operating Systems Principles
PublisherAssociation for Computing Machinery, Inc
Pages121-136
Number of pages16
ISBN (Electronic)9781450338349
DOIs
StatePublished - Oct 4 2015
Event25th ACM Symposium on Operating Systems Principles, SOSP 2015 - Monterey, United States
Duration: Oct 5 2015Oct 7 2015

Publication series

NameSOSP 2015 - Proceedings of the 25th ACM Symposium on Operating Systems Principles

Other

Other25th ACM Symposium on Operating Systems Principles, SOSP 2015
CountryUnited States
CityMonterey
Period10/5/1510/7/15

ASJC Scopus subject areas

  • Hardware and Architecture
  • Software
  • Electrical and Electronic Engineering
  • Computer Science Applications

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  • Cite this

    Palkar, S., Lan, C., Han, S., Jang, K., Panda, A., Ratnasamy, S., Rizzo, L., & Shenker, S. (2015). E2: A framework for NFV applications. In SOSP 2015 - Proceedings of the 25th ACM Symposium on Operating Systems Principles (pp. 121-136). (SOSP 2015 - Proceedings of the 25th ACM Symposium on Operating Systems Principles). Association for Computing Machinery, Inc. https://doi.org/10.1145/2815400.2815423