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Thesis Defense - Marwah

 
12/14/2007
2:00pm-4:00pm
ECCR 1B06

Enhanced Server Fault-Tolerance Techniques for Improved User Experience
Computer Science PhD Candidate

User applications, such as email, calendar, maps, are migrating from local desktop machines to data centers due to the many advantages offered by such a computing paradigm. Furthermore, this trend is creating a marked increase in the deployment of servers at data centers. To ride the price/performance curves for CPU, memory and other HW, inexpensive commodity machines -- although having low availability numbers -- are the most cost effective choices for a data center. However, increased server failures cause service outages and degrade user experience which in turn results in lost revenue for businesses. Also, emerging web applications put additional demands on server fault-tolerance. For example, if a user is browsing a map service like Google, Yahoo or MSN maps, a server failure leading to an outage of more than a few seconds is detectable by a user and hence degrades user experience.

In this thesis, I propose three novel techniques aimed at improving server fault-tolerance: (1) ST-TCP, which is an extension of TCP to tolerate server failures. This is done by using an active-backup which replicates the state of a primary and seamlessly takes over a TCP connection on primary server failure; (2) CRAFT, where the TCP splicing mechanism is enhanced to make it both fault-tolerant and more scalable; this then forms the basis of a scalable and fault-tolerant web server architecture that specifically addresses server fault-tolerance issues for highly interactive or real time applications; and, (3) Call-preserving failover, which is an efficient and scalable fault-tolerance mechanism for migrating IP telephony calls to an alternate call controller.

Committee: Shivakant Mishra, Associate Professor (Chair)
Christof Fetzer, Technische Universität Dresden
Dirk Grunwald, Associate Professor
Richard Han, Associate Professor
John Black, Assistant Professor
P. (PK) Krishnan, Avaya Labs Research

 
See also:
Department of Computer Science
College of Engineering and Applied Science
University of Colorado Boulder
Boulder, CO 80309-0430 USA
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