SCS Recruiting Seminar: Behnaz Arzani

Event Details
  • Date/Time:
    • Thursday March 7, 2019
      11:00 am - 12:00 pm
  • Location: KACB 1116W
  • Phone:
  • URL:
  • Email:
  • Fee(s):
    N/A
  • Extras:
Contact

Tess Malone, Communications Officer

tess.malone@cc.gatech.edu

Summaries

Summary Sentence: Towards Networks that Manage Themselves

Full Summary: No summary paragraph submitted.

Media
  • Behnaz Arzani Behnaz Arzani
    (image/jpeg)

TITLE: Towards Networks that Manage Themselves

ABSTRACT:

The goal of data center operators is to provide high availability to their customers. Data center networks operate at massive scales. Failures in these networks are unavoidable, and when they occur, they can have a detrimental effect on availability. Finding the cause of problems in data center networks is akin to finding the proverbial needle in a haystack. In addition, diagnosing failures has to go beyond finding the devices that have failed. In practice operators also need to know which applications are impacted by the failure, and by how much. In this talk, I will show how we achieved holistic, practical, and deployable diagnosis systems for data center networks. I take a two-step approach to diagnose specific applications and quantifying the impact of individual failures. First, I build a system NetPoirot (SIGCOMM 2016) that identifies the entity responsible for the failure. Second, using 007 (NSDI 2018) I identify the link responsible for the problem while quantifying its impact to individual applications. NetPoirot allows operators to identify whether the client, network, or the server is responsible for a problem without any network/server infrastructure changes. In designing NetPoirot we showed, for the first time, that we can identify whether the network, client, or server was responsible for failures through monitoring coarse-grained TCP statistics. If NetPoirot blames the network as the culprit, 007 can be used to pinpoint the device that caused the problem. 007 can also be used to attribute failures to applications they impact.  In this talk, I will describe both NetPoirot and 007 and their impact on how operators approach diagnosis in Microsoft’s networks.

BIO:

Behnaz Arzani is a postdoctoral researcher at Microsoft Research in the mobility and networking group. She received her Ph.D. in computer science from the University of Pennsylvania in 2017 working with Professors Boon Thau Loo and Roch Guerin. She also completed her dual master’s degree in computer science and electrical engineering at the University of Pennsylvania in the same year. Her B.Sc. degree is from the electrical engineering department at Sharif University of Technology in 2010, where she worked with Professor Javad Salehi. Behnaz is the recipient of the University of Pennsylvania Rubinoff dissertation award. Behnaz’s research interests lie primarily in the areas of networking and distributed systems. Her work lies in at the boundaries of theory and practice, and is published in some of the top conferences in the field including SIGCOMM and NSDI. Behnaz was selected as one of the 10 N2Women rising stars in networking and communications (formerly known as “10 Women in Networking/Communications That You Should Watch”). She was also selected to participate in the rising stars in EECS workshop that was held at MIT this year.

 

 

Additional Information

In Campus Calendar
No
Groups

School of Computer Science, College of Computing

Invited Audience
Faculty/Staff, Postdoc, Public, Graduate students, Undergraduate students
Categories
Seminar/Lecture/Colloquium
Keywords
No keywords were submitted.
Status
  • Created By: Tess Malone
  • Workflow Status: Published
  • Created On: Feb 14, 2019 - 3:52pm
  • Last Updated: Mar 6, 2019 - 12:06pm