Home > Events > PhD Defense - Ryan McCune

PhD Defense - Ryan McCune

Start: 3/23/2016 at 10:00AM
End: 3/23/2016 at 1:00PM
Location: 100 Stinson Remick
Attendees: Faculty and Students are welcome to attend the presentation portion of the defense.
Light refreshments will be served.
Add to calendar:
iCal vCal

Ryan McCune

           March 23, 2016          

           100 Stinson Remick          

10:00 am

            Adviser:  Dr. Gregory Madey          

   Co-Adviser:  Dr. Tim Weninger

 Committee Members:

Dr. Christian Poellabauer        Dr. Laurel Riek        Dr. Dong Wang




Centralization pervades conventional system architectures, from society to computing, where high-level decision-making is focused at a central coordinator. In the technology domain, centralization has led to performance bottlenecks and scalability challenges, as witnessed in distributed systems including Big Data processing and Unmanned Aerial Vehicles (UAVs).  Techniques and approaches to relax centralized control in favor of decentralized methods are investigated. 

Two graph processing projects will be discussed.  For large-scale graph processing, centralized computational methods contribute to 2 notable challenges: i) impractical processing for distributed memory, and ii) a high data-access to computation ratio.   In response to the first challenge, software frameworks have been developed as platforms for executing distributed algorithms, which decentralize computational scope to increase scalability.   Insights from a comprehensive survey published on such frameworks will be presented.  Next, an instance of reducing random data access for efficient graph traversal will be presented as part of research conducted while at IBM Zurich.  Together, the projects illustrate principles for overcoming data-intensive computing challenges.