DCBC 2014 - Track on Data Centers and Big Data Computing (DCBC)

Given that the rate at which data is being generated is doubling faster than our computational capability with respect to Moore's Law, data centers and their associated networks and infrastructure have become critical aspects in scaling up computational capability to keep pace with this data deluge. As such, this track invites submissions in the following areas, including, but not necessarily limited to.
Track Topics
Infrastructure
Network Architecture
Network-Enabled Frameworks
Network Protocols
Performance and Power Modeling
Data Access & Management
Track Organizing Committee
Track Chairs:
Wu-chun Feng , Virginia Tech , USA
Track Technical Program Committee:
Yong Chen , Texas Tech University , USA
Ada Gavrilovska , Georgia Tech , USA
Martin Swany , Indiana University , USA
Jun Wang , University of Central Florida , USA
Hao Wang , Virginia Tech , USA
Patrick Bridges , University of New Mexico, USA
Malathi Veeraraghavan , University of Virginia, USA