Skip to main content
USENIX
  • Conferences
  • Students
Sign in
  • Home
  • Attend
    • Registration Information
    • Registration Discounts
    • Venue, Hotel, and Travel
    • Students and Grants
    • Co-located Events
      • SOUPS 2016
      • HotCloud '16
      • HotStorage '16
  • Program
    • At a Glance
    • Technical Sessions
  • Activities
    • Birds-of-a-Feather Sessions
    • Poster Session
  • Participate
    • Instructions for Authors and Speakers
    • Call for Papers
    • Call for Practitioner Talks
  • Sponsorship
  • About
    • Organizers
    • Help Promote!
    • Questions
    • Past Conferences
  • Home
  • Attend
  • Program
  • Activities
  • Participate
  • Sponsorship
  • About

sponsors

Gold Sponsor
Gold Sponsor
Gold Sponsor
Gold Sponsor
Silver Sponsor
Silver Sponsor
Silver Sponsor
Silver Sponsor
Media Sponsor
Media Sponsor
Media Sponsor
Media Sponsor
Media Sponsor
Media Sponsor
Media Sponsor
Media Sponsor
Media Sponsor
Media Sponsor
Media Sponsor
Industry Partner
Industry Partner
Industry Partner

help promote

USENIX ATC '16

Get
Help Promote graphics!

connect with us


  •  Twitter
  •  Facebook
  •  LinkedIn
  •  Google+
  •  YouTube

twitter

Tweets by @usenix

usenix conference policies

  • Event Code of Conduct
  • Conference Network Policy
  • Statement on Environmental Responsibility Policy

You are here

Home » Ginseng: Market-Driven LLC Allocation
Tweet

connect with us

Ginseng: Market-Driven LLC Allocation

Authors: 

Liran Funaro, Orna Agmon Ben-Yehuda, and Assaf Schuster, Technion—Israel Institute of Technology

Abstract: 

Cloud providers must dynamically allocate their physical resources to the right client to maximize the benefit that they can get out of given hardware. Cache Allocation Technology (CAT) makes it possible for the provider to allocate last level cache to virtual machines to prevent cache pollution. The provider can also allocate the cache to optimize client benefit. But how should it optimize client benefit, when it does not even know what the client plans to do?

We present an auction-based mechanism that dynamically allocates cache while optimizing client benefit and improving hardware utilization. We evaluate our mechanism on benchmarks from the Phoronix Test Suite. Experimental results show that Ginseng for cache allocation improved clients’ aggregated benefit by up to 42:8x compared with state-of-the-art static and dynamic algorithms.

Liran Funaro, Technion—Israel Institute of Technology

Orna Agmon Ben-Yehuda, Technion—Israel Institute of Technology

Assaf Schuster, Technion—Israel Institute of Technology

Open Access Media

USENIX is committed to Open Access to the research presented at our events. Papers and proceedings are freely available to everyone once the event begins. Any video, audio, and/or slides that are posted after the event are also free and open to everyone. Support USENIX and our commitment to Open Access.

BibTeX
@inproceedings {196286,
author = {Liran Funaro and Orna Agmon Ben-Yehuda and Assaf Schuster},
title = {Ginseng: {Market-Driven} {LLC} Allocation},
booktitle = {2016 USENIX Annual Technical Conference (USENIX ATC 16)},
year = {2016},
isbn = {978-1-931971-30-0},
address = {Denver, CO},
pages = {295--308},
url = {https://www.usenix.org/conference/atc16/technical-sessions/presentation/funaro},
publisher = {USENIX Association},
month = jun,
}
Download
Funaro PDF
View the slides

Presentation Audio

MP3 Download

Download Audio

  • Log in or    Register to post comments

Gold Sponsors

Silver Sponsors

Media Sponsors & Industry Partners

© USENIX

  • Privacy Policy
  • Contact Us