Speaker: Fahad Dogar, Tufts University
Location: Warren Weaver Hall 1302
Date: October 10, 2014, 11:30 a.m.
Host: Lakshmi Subramanian
Popular applications like Facebook and Google Search perform rich and complex "tasks" (e.g., generating a user's social newsfeed). From a network perspective, these tasks typically comprise multiple flows, which traverse different parts of the network at potentially different times. Existing network resource allocation schemes (e.g., TCP), however, treat all these flows in isolation - rather than as part of a task - which delays completion of tasks (i.e., user requests).
In this talk, I will make a case for "task-aware" network scheduling, and present Baraat, a decentralized task-aware scheduling system. Compared to existing approaches (e.g., TCP and other flow based schemes), Baraat improves both the average and tail response times for a wide range of workloads. I will also present a deployment friendly transport framework (PASE) which can support richer resource allocation schemes (e.g., task-aware scheduling) without requiring changes to network switches.
Fahad Dogar is an assistant professor in the computer science department at Tufts University. Earlier he did his PhD from Carnegie Mellon and undergrad from LUMS, Pakistan. Most recently, he was a post-doc in the systems and networking group at Microsoft Research UK.
Refreshments will be offered starting 15 minutes prior to the scheduled start of the talk.