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---------- Forwarded message ----------
From: Michael Pellon <[log in to unmask]>
Date: Tue, Apr 28, 2009 at 2:44 PM
Subject: TALK: "Leveraging the Cloud for Research", Monday, May 4th 1PM
To: Maggie Eppstein <[log in to unmask]>, Peter Sheridan Dodds <[log in to unmask]>, [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask], [log in to unmask]


Due to popular request from a couple of you I will be giving a little informal talk this coming Monday (May 4) in the Farrell Hall Decision theater (Trinity campus) at 1 PM.

The goal will be to share my experience as a beta tester of Amazon's new suite of cloud computing resources for both research purposes (analyzing massive sets of textual data) and as a technical advisor for a small for-profit company ( with hundreds of thousands of daily visitors that relies on Amazon's "cloud" entirely for its technical infrastructure.

These cloud computing resources are massive systems (in the order of millions) of interlinked commodity servers scattered around the globe that exhibit immense flexibility in their ability to move computation and data across computers within a cluster, across clusters of computers and—of course—between clusters and end user devices. The result is the efficient, even awesome, capability to provide communication, computation and data to a vast collection of people and applications. 

Formally titled "Leveraging the Cloud for Research : Ideal Distributed Computing" the content will be highly technical in nature with a focus not only on how these technologies work in general but  how you can utilize them today for your research through a number of common, robust interfaces. 

Time will also be spent on how to obtain FREE sources for data online, including scrapping/processing raw HTML, Amazon's public data sets and a number of APIs that allow access to raw data such as the New York Times, Kiva,, Zillow Real Estate, etc.

The presentation will be short (~ 18 minutes, TED style) with the remainder of the time geared towards an informal discussion within our computing/research community about the relative advantages/disadvantages of these emerging cloud computing resources (Amazon Web Services, Google App Engine, etc.) and their potential role in future research projects here at UVM that involve massive data sets or intensive computation tasks.

Hope to see you there and Feel free to pass along!


Michael Pellon

Graduate Student, UVM Computer Science
Technical Advisor, Teko Labs and

Farrell Rm. 204
mpellon [at] trinity [dot] edu

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