Wed, Apr 11, 2018 @ 12:00 PM - 02:00 PM
Thomas Lord Department of Computer Science
PhD Candidate: Rui Miao
Committee: Minlan Yu (Chair), Ramesh Govindan, Konstantinos Psounis
Title: Scaling-out Traffic Management in the Cloud
Managing cloud traffic is challenging due to its large and constantly growing traffic in scale and traffic anomalies. Network infrastructure and traffic management need to scale their capacity to such traffic growth and anomalies, or the application performance will suffer. Existing traffic management functions have so far focused on proprietary hardware appliances and software servers. However, with limited capacity and/or fixed functionality, those solutions incur a high cost, low performance, and high management complexity.
In this thesis, we argue that we should scale-out traffic management functions for the full throughput of datacenter networks. The key idea of this thesis is to leverage the hardware switches with line-rate packet processing and the emerging programmability to directly build advanced functionaries. We have scaled-out three major traffic management functions: load balancing, attack mitigation, and congestion control. Our evaluation shows a high performance and cost-efficiency from our solutions.
Location: Charles Lee Powell Hall (PHE) - 631
Audiences: Everyone Is Invited
Contact: Lizsl De Leon