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Dear all,
[apologies if you receive multiple posting]

Please mark your calendar.
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Date: 04/25/2014

Time: 12:30 AM - 1:30

Venue: Engineering Building 4201

Speaker: Prof. Howie Huang

Title: Tackling the Challenges of I/O Virtualization in Data Centers

Host: Songqing Chen
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Songqing


Abstract
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Large-scale data centers leverage virtualization to achieve high resource 
utilization, scalability, and availability. While ideally the performance 
of an application running inside a virtual machine (VM) shall be 
independent of co-located applications and VMs that share the physical 
resources, current systems are yet to achieve this goal. In this talk, I 
will describe our efforts in addressing a number of challenges in order to 
achieve optimal I/O performance in such virtualized systems. Specifically, 
TRACON constructs mathematical models and scheduling algorithms to 
mitigate the VM interference; Matrix leverages machine learning and 
optimization techniques to allocate VM resource in a way that minimizes 
the cost while achieving good application performance; and Mortar enhances 
the hypervisor to pool together spare memory on each machine and expose it 
as a volatile data cache to improve virtual I/O performance. 
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Speaker Bio
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Howie Huang is an Assistant Professor in Department of Electrical and 
Computer Engineering at the George Washington University. His research 
interests are in the areas of computer systems and architecture, including 
cloud computing, big data computing, high-performance computing and 
storage systems. His projects won the Best Poster Award at PACT'11, ACM 
Undergraduate Student Research Competition at SC'12, and a finalist for 
the Best Student Paper Award at SC'11. He was a recipient of the NSF 
CAREER Award in 2014, NVIDIA Academic Partnership Award in 2011, IBM Real 
Time Innovation Faculty Award in 2008, and School of Engineering and 
Applied Science Outstanding Young Researcher Award in 2014. He received 
his Ph.D. in Computer Science from the University of Virginia in 2008. 
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