Big data measurement and analytics for networking and security systems
Monday, March 17, 2014 - 11:00am - 12:00pm
KEC 1005
M. Zubair Shafiq
Ph.D. candidate
Department of Computer Science and Engineering
Michigan State University
Abstract:
Big data has become the cornerstone of the revolution in computing systems that
is transforming how network and security infrastructure, services, and
applications are designed and deployed. Many conventional wisdoms on which we
have based the designs of existing network and security systems are either not
well understood or they are simply outdated due to the rapidly changing nature
of workloads, performance metrics, and user requirements.
In this talk, I will discuss how to revisit the current practices for the
design and deployment of network and security systems using a combination of
empirical and theoretical methods by first measuring and characterizing the
trends in real-world data and then modeling the identified trends. I will also
provide several examples related to mobile cellular networks, content
distribution networks, and online social networks.
Biography:
Zubair is a 5th-year Ph.D. candidate at Michigan State University. He received the best paper award from 2012 IEEE International Conference on Network Protocols. He also received the 2013 Fitch-Beach Outstanding Graduate Research Award by College of Engineering, Michigan State University. His research interests focus on big data measurement and analytics for networking and security systems.
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