Student Digest - (05/06/2013  @ 9:35 AM)

CS Talk: Harnessing Community Resources for Cloud Computing- Thursday May 9 - 3pm - Searles 315 (Daniela Oliveira)

Please come to this very interesting talk about cloud computing by Prof. Justin Cappos from the NYU Polytechnic Institute.

The talk will be Thursday May 9 at 3pm at Searles 315.

Title: Harnessing Community Resources for Cloud Computing


Traditional distributed computational models, such as client-server and cloud computing, involve moving computation from geographically distributed devices with little computational power to well-provisioned centralized servers. In this work, we explore the idea of harnessing computational resources on end user devices in an on-demand, cross application manner. Using this paradigm, we have constructed the Seattle testbed. Seattle makes it practical for arbitrary Internet users to securely participate in our testbed without compromising the security or performance of their laptop, desktop, phone, tablet or other device. Seattle has been deployed for four years across about 20K end user devices. Seattle has wide spread practical use as a testbed for researchers and educators, including use in more than 40 classes. The first part of this talk will give an overview and demo of the Seattle testbed. The second part of the talk will discuss some of the research challenges involved in building the platform, notably providing a secure execution environment with a small trusted computing base.


Justin Cappos is an assistant professor at NYU's Polytechnic Institute. Justin's research interests generally fall broadly in the area of systems security. He focuses on understanding high-impact, large-scale problems by building and measuring deployed systems. His dissertation work was on Stork, a secure and efficient package manager that has been in use for the past 8 years. Improvements pioneered through this work have been adopted by APT, YUM, Pacman, and YaST, enhancing the security of millions of servers worldwide.

Sponsor: This talk is sponsored by NSF Grant – CNS-1149730.