Northwestern University

Feb
28
Wed 2:00 PM

EECS Distinguished Speaker: Prof. Magdalena Balazinska, Professor in Computer Science and Engineering at University of Washington, "Performance SLAs for Cloud Data Analytics"

Prof. Magdalena Balazinska

When: Wednesday, February 28, 2018
2:00 PM - 3:00 PM  

Where: Ford Motor Company Engineering Design Center, ITW Room, 2133 Sheridan Road, Evanston, IL 60208 map it

Audience: Faculty/Staff - Student - Public - Post Docs/Docs - Graduate Students

Contact: Brianna Mello  

Group: Electrical Engineering & Computer Science

Category: Lectures & Meetings

Description:

The EECS Department welcomes Prof. Magdalena Balazinska, Professor in Computer Science and Engineering at University of Washington.

Balazinska will present a talk entitled "Performance SLAs for Cloud Data Analytics" on Wednesday, February 28 at 2:00 PM in Ford ITW Room.

Abstract: A variety of data analytics systems are available as cloud services today, including Amazon Elastic MapReduce (EMR), Redshift, Azure's HDInsight, and others. To buy these services, users select and pay for a given cluster configuration: i.e., number and type of service instances. It is well known, however, that users often have difficulty selecting configurations that meet their needs. We thus argue that today's interface to purchasing cloud services is the wrong one and develop a new approach, that enables users to directly purchase quality of service levels. To achieve this vision, we develop a pair of systems, PSLAManager and PerfEnforce. Given a cloud data analytics service, the PSLAManager generates a database-specific performance-oriented SLA with multiple choices of service tiers. PerfEnforce uses elastic scaling to meet, at a low cost, the SLA runtime guarantees that the user purchases. We present the core algorithms behind each system as well as their evaluation using the Myria cloud data analytics system running on Amazon EC2.

Bio: Prof. Magdalena Balazinska is a Professor in the Paul G. Allen School of Computer Science and Engineering at the University of Washington and the Director of the University of Washington eScience Institute. She's also the director of the IGERT PhD Program in Big Data and Data Science and the director of the associated Advanced Data Science PhD Option. Magdalena's research interests are in the field of database management systems. Her current research focuses on data management for data science, big data systems, and cloud computing. Magdalena holds a Ph.D. from the Massachusetts Institute of Technology (2006). She is a Microsoft Research New Faculty Fellow (2007), received the inaugural VLDB Women in Database Research Award (2016), an ACM SIGMOD Test-ofTime Award (2017), an NSF CAREER Award (2009), a 10-year most influential paper award (2010), a Google Research Award (2011), an HP Labs Research Innovation Award (2009 and 2010), a Rogel Faculty Support Award (2006), a Microsoft Research Graduate Fellowship (2003-2005), and multiple best-paper awards.

 

Hosted by EECS Prof. Jennie Rogers

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