Blazing Performance with Flame Graphs | USENIX
"How did we ever analyze performance before Flame Graphs?" This new visualization invented by Brendan can help you quickly understand application and kernel performance, especially CPU usage, where stacks (call graphs) can be sampled and then visualized as an interactive flame graph. Flame Graphs are now used for a growing variety of targets: for applications and kernels on Linux, SmartOS, Mac OS
Conference Program
Early Bird Registration Deadline: March 16, 2016 SREcon16 is SOLD OUT. No walkup registrations will be accepted. Venue: Hyatt Regency Santa Clara 5101 Great America Pkwy Santa Clara, CA 95054 Rooms at the Hyatt Regency Santa Clara are sold out. Rooms available at: Biltmore Hotel & Suites 2151 Laurelwood Road Santa Clara, CA 95054 Book your room for $225 single or double plus tax or call (800) 255-
Building a Billion User Load Balancer | USENIX
Want to learn how Facebook scales their load balancing infrastructure to support more than 1.3 billion users? We will be revealing the technologies and methods we use to global route and balance Facebook's traffic. The traffic team at Facebook has built several systems for managing and balancing our site traffic, including both a DNS load balancer and a software load balancer capable of handling s
A Tale of Two Erasure Codes in HDFS | USENIX
Mingyuan Xia, McGill University; Mohit Saxena, Mario Blaum, and David A. Pease, IBM Research Almaden Distributed storage systems are increasingly transitioning to the use of erasure codes since they offer higher reliability at significantly lower storage costs than data replication. However, these codes tradeoff recovery performance as they require multiple disk reads and network transfers for rec
Spanner: Google’s Globally-Distributed Database | USENIX
James C. Corbett, Jeffrey Dean, Michael Epstein, Andrew Fikes, Christopher Frost, JJ Furman, Sanjay Ghemawat, Andrey Gubarev, Christopher Heiser, Peter Hochschild, Wilson Hsieh, Sebastian Kanthak, Eugene Kogan, Hongyi Li, Alexander Lloyd, Sergey Melnik, David Mwaura, David Nagle, Sean Quinlan, Rajesh Rao, Lindsay Rolig, Yasushi Saito, Michal Szymaniak, Christopher Taylor, Ruth Wang, and Dale Woodf
A Working Theory-of-Monitoring | USENIX
Caskey L. Dickson, Site Reliability Engineer, Google Inc. At Google we have discovered many common pitfalls and false simplifications that cause frustration and blind-spots with monitoring systems. Internally we have our own home-grown monitoring systems, but to move beyond the hit-and-miss approach to monitoring we have developed a formal model for such systems. This model is used as a framework
Scaling Memcache at Facebook | USENIX
by Michael Piatek Responsiveness is essential for web services. Speed drives user engagement, which drives revenue. To reduce response latency, modern web services are architected to serve as much as possible from in-memory caches. The structure is familiar: a database is split among servers with caches for scaling reads. Over time, caches tends to accumulate more responsibility in the storage sta
Application of GPU for High-performance Network Processing
SSLShader: Cheap SSL Acceleration with Commodity Processors Keon Jang+, Sangjin Han+, Seungyeop Han*, Sue Moon+, and KyoungSoo Park+ KAIST+ and University of Washington* Security of Paper Submission Websites 2 Security Threats in the Internet Public WiFi without encryption • Easy target that requires almost no effort Deep packet inspection by governments • Used for censorship • In the name of
USENIX Best Papers
Weidong Zhang, Alibaba Group; Erci Xu, Alibaba Group; Qiuping Wang, Alibaba Group; Xiaolu Zhang, Alibaba Group; Yuesheng Gu, Alibaba Group; Zhenwei Lu, Alibaba Group; Tao Ouyang, Alibaba Group; Guanqun Dai, Alibaba Group; Wenwen Peng, Alibaba Group; Zhe Xu, Alibaba Group; Shuo Zhang, Alibaba Group; Dong Wu, Alibaba Group; Yilei Peng, Alibaba Group; Tianyun Wang, Alibaba Group; Haoran Zhang, Alibab
netmap: A Novel Framework for Fast Packet I/O | USENIX
Luigi Rizzo, Università di Pisa, Italy Awarded Best Paper! Many applications (routers, traffic monitors, firewalls, etc.) need to send and receive packets at line rate even on very fast links. In this paper we present netmap, a novel framework that enables commodity operating systems to handle the millions of packets per seconds traversing 1..10 Gbit/s links, without requiring custom hardware or c
USENIX | The Advanced Computing Systems Association
;login: Enters a New Phase of Its Evolution For over 20 years, ;login: has been a print magazine with a digital version; in the two decades previous, it was USENIX’s newsletter, UNIX News. Since its inception 45 years ago, it has served as a medium through which the USENIX community learns about useful tools, research, and events from one another. Beginning in 2021, ;login: will no longer be the f
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Amazon DynamoDB: A Scalable, Predictably Performant, and Fully Managed NoSQL Database Service
10 Lessons Learned in 10 Years of SRE | USENIX
SRE for ML: The First 10 Years and the Next 10 | USENIX
https://www.usenix.org/system/files/opml19papers-ananthanarayanan.pdf
https://www.usenix.org/system/files/conference/nsdi13/nsdi13-final170_update.pdf
fast07Talk_raid6.dvi
https://www.usenix.org/event/atc11/tech/final_files/Chawla.pdf
The Linux Kernel's VFS Layer
https://www.usenix.org/event/nsdi09/tech/full_papers/singh/singh.pdf