Talks & Seminars
Title: Improving Transparency and Control in Mobile Internet Systems
Prof. David Choffnes , Northeastern University
Date & Time: August 21, 2013 14:30
Venue: Room # SIC 201, 02nd Floor, C Block, Department of Computer Science and Engineering, Kanwal Rekhi Building
We begin this talk with an overview of Northeastern University and the College of Computer and Information Science (CCIS). The College has recently undergone tremendous growth, and has hired a number of talented faculty in several research areas. The focus of the talk will be on the topic of mobile Internet systems. While mobile devices have exploded in popularity and usage, performance and reliability in the mobile Internet (e.g., smartphones) lag significantly behind their fixed-line counterparts. I posit that many problems in this area persist due to a lack of visibility into what network traffic is generated by mobile devices and a lack of control over this traffic. I describe Meddle, a system that enables new opportunities for measuring and characterizing mobile traffic, and for designing new in-network features to improve the mobile experience. The key challenge here is that most mobile devices operate in a closed, locked-down environment that encompasses apps, operating systems and the mobile network carrying Internet traffic. To address this challenge, Meddle redirects all mobile-device network traffic to a server outside the carrier’s network, thus providing a point of control where one can characterize, modify or block this traffic before sending it to the intended destination. I present several examples of applications one can build with Meddle, including device-wide blocking of undesired network traffic (e.g., analytics and advertising). (with Alan Mislove and Christo Wilson)
Speaker Profile:
David Choffnes is an assistant professor in the College of Computer and Information Science at Northeastern University. His research is primarily in the areas of distributed systems and networking, with a recent focus on mobile systems. Much of his work entails building distributed systems for improving network performance and reliability, and leveraging crowd sourcing for measurement and performance evaluation.
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