Blog
The latest news from Google AI
Conference Report: USENIX Annual Technical Conference (ATC) 2013
Wednesday, July 3, 2013
Posted by Murray Stokely, Google Storage Analytics Team
This year marks Google’s eleventh consecutive year as a sponsor of the
USENIX Annual Technical Conference
(ATC), just one of the co-located events at
USENIX Federated Conference Week
(FCW), which combines numerous conferences and workshops covering fields such as
Autonomic Computing
,
Feedback Computing
and much more in an intensive week of research, trends, and community interaction.
ATC provides a broad forum for computing systems research with an emphasis on implementations and experimental results. In addition to the Googlers presenting publications, we had two members on the program committee of ATC and several keynote speakers, invited speakers, panelists, committee members, and participants at the other co-located events at FCW.
In the paper
Janus: Optimal Flash Provisioning for Cloud Storage Workloads
, Googler Christoph Albrecht and co-authors demonstrated a system that allows users to make informed flash memory provisioning and partitioning decisions in cloud-scale distributed file systems that include both flash storage and disk tiers. As flash memory is still expensive, it is best to use it only for workloads that can make good use of it. Janus creates long term workload characterizations based on RPC samples and file age metadata. It uses these workload characterizations to formulate and solve an optimization problem that maximizes the reads sent to the flash tier. Based on evaluations from workloads using Janus, in use at Google for the past 6 months, the authors conclude that the recommendation system is quite effective, with flash hit rates using the optimized recommendations 47-76% higher than the option of using the flash as an unpartitioned tier.
In
packetdrill: Scriptable Network Stack Testing, from Sockets to Packets
, Google’s Neal Cardwell and co-authors showcased a portable, open-source scripting tool that enables testing the correctness and performance of network protocols. Despite their importance in modern computer systems, network protocols often undergo only ad hoc testing before their deployment, in large part due to their complexity. Furthermore, new algorithms have unforeseen interactions with other features, so testing has only become more daunting as
TCP
has evolved. The
packetdrill
tool was instrumental in the development of three new features for Linux TCP—Early Retransmit, Fast Open, and Loss Probes—and allowed the authors to find and fix 10 bugs in Linux. Furthermore, the team uses
packetdrill
in all phases of the development process for the kernel used in one of the world’s largest Linux installations. In the hope that sharing
packetdrill
with the community will make the process of improving Internet protocols an easier one, the
source code and test scripts for
packetdrill
have been made freely available.
There were also additional refereed publications with Google co-authors at some of the co-located events at FCW, notably
NicPic: Scalable and Accurate End-Host Rate Limiting
, which outlines a system which enables accurate network traffic scheduling in a scalable fashion, and
AGILE: Elastic Distributed Resource Scaling for Infrastructure-as-a-Service
, a system that efficiently handles dynamic application workloads, reducing both penalties and user dissatisfaction.
Google is proud to support the academic community through conference participation and sponsorship. In particular, we are happy to mention one of the other interesting papers from this year’s USENIX FCW, co-authored by former
Google PhD fellowship
recipient Ashok Anand,
MiG: Efficient Migration of Desktop VM Using Semantic Compression
.
USENIX is a supporter of
open access
, so the papers and videos from the talks are available on the
conference website
.
Labels
accessibility
ACL
ACM
Acoustic Modeling
Adaptive Data Analysis
ads
adsense
adwords
Africa
AI
AI for Social Good
Algorithms
Android
Android Wear
API
App Engine
App Inventor
April Fools
Art
Audio
Augmented Reality
Australia
Automatic Speech Recognition
AutoML
Awards
BigQuery
Cantonese
Chemistry
China
Chrome
Cloud Computing
Collaboration
Compression
Computational Imaging
Computational Photography
Computer Science
Computer Vision
conference
conferences
Conservation
correlate
Course Builder
crowd-sourcing
CVPR
Data Center
Data Discovery
data science
datasets
Deep Learning
DeepDream
DeepMind
distributed systems
Diversity
Earth Engine
economics
Education
Electronic Commerce and Algorithms
electronics
EMEA
EMNLP
Encryption
entities
Entity Salience
Environment
Europe
Exacycle
Expander
Faculty Institute
Faculty Summit
Flu Trends
Fusion Tables
gamification
Gboard
Gmail
Google Accelerated Science
Google Books
Google Brain
Google Cloud Platform
Google Docs
Google Drive
Google Genomics
Google Maps
Google Photos
Google Play Apps
Google Science Fair
Google Sheets
Google Translate
Google Trips
Google Voice Search
Google+
Government
grants
Graph
Graph Mining
Hardware
HCI
Health
High Dynamic Range Imaging
ICCV
ICLR
ICML
ICSE
Image Annotation
Image Classification
Image Processing
Inbox
India
Information Retrieval
internationalization
Internet of Things
Interspeech
IPython
Journalism
jsm
jsm2011
K-12
Kaggle
KDD
Keyboard Input
Klingon
Korean
Labs
Linear Optimization
localization
Low-Light Photography
Machine Hearing
Machine Intelligence
Machine Learning
Machine Perception
Machine Translation
Magenta
MapReduce
market algorithms
Market Research
Mixed Reality
ML
ML Fairness
MOOC
Moore's Law
Multimodal Learning
NAACL
Natural Language Processing
Natural Language Understanding
Network Management
Networks
Neural Networks
NeurIPS
Nexus
Ngram
NIPS
NLP
On-device Learning
open source
operating systems
Optical Character Recognition
optimization
osdi
osdi10
patents
Peer Review
ph.d. fellowship
PhD Fellowship
PhotoScan
Physics
PiLab
Pixel
Policy
Professional Development
Proposals
Public Data Explorer
publication
Publications
Quantum AI
Quantum Computing
Recommender Systems
Reinforcement Learning
renewable energy
Research
Research Awards
resource optimization
Robotics
schema.org
Search
search ads
Security and Privacy
Self-Supervised Learning
Semantic Models
Semi-supervised Learning
SIGCOMM
SIGMOD
Site Reliability Engineering
Social Networks
Software
Sound Search
Speech
Speech Recognition
statistics
Structured Data
Style Transfer
Supervised Learning
Systems
TensorBoard
TensorFlow
TPU
Translate
trends
TTS
TV
UI
University Relations
UNIX
Unsupervised Learning
User Experience
video
Video Analysis
Virtual Reality
Vision Research
Visiting Faculty
Visualization
VLDB
Voice Search
Wiki
wikipedia
WWW
Year in Review
YouTube
Archive
2020
Jul
Jun
May
Apr
Mar
Feb
Jan
2019
Dec
Nov
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2018
Dec
Nov
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2017
Dec
Nov
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2016
Dec
Nov
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2015
Dec
Nov
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2014
Dec
Nov
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2013
Dec
Nov
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2012
Dec
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2011
Dec
Nov
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2010
Dec
Nov
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2009
Dec
Nov
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2008
Dec
Nov
Oct
Sep
Jul
May
Apr
Mar
Feb
2007
Oct
Sep
Aug
Jul
Jun
Feb
2006
Dec
Nov
Sep
Aug
Jul
Jun
Apr
Mar
Feb
Feed
Follow @googleai
Give us feedback in our
Product Forums
.
