CS Colloquium: Network Scheduling Services for Emerging Applications
Title: Network Scheduling Services for Emerging Applications
Speaker: Dr. Nasir Ghani,
Associate Department Chair
Department of Electrical & Computer Engineering,
University of Albuquerque, NM, USA
Date: Friday, January 6, 2012
Venue: Smart Room, CS Department, SBASSE Complex
The last decade has seen many advances in advanced networking technologies. For example, ubiquitous IP and Ethernet networks (Layers 2, 3) have evolved to multi-gigabit speeds with full quality of service (QoS) provisions, as enabled by gains in high-speed electronics technologies. Concurrently, developments in optical wavelength division multiplexing (WDM) sub-systems have revolutionised the fiber-optic layer (Layer 1), delivering flexible “wavelength” circuit connectivity with terabits/fiber yields. As these technologies have matured, many research organisations have actively built ultra-fast networking infrastructures to support new service-oriented paradigms based upon distributed computing and storage. For example, many “e-science” applications make use of massive datasets dispersed across large global distances, i.e., petabytes-exabytes range. Overall, these new evolutions are placing huge burdens on resource provisioning, and it is very plausible that networks may not be able to handle all transfers in an “on-demand” manner. Hence the concept of advance reservation (AR) of network resources is becoming increasingly attractive today. Namely, the ability to reserve connections at future time instants, i.e., network scheduling, allows operators to stagger demands and improve resource assignments and utilisation. Moreover, AR services also have broad relevance to data-center management and other commercial applications. Along these lines this talk will survey this exciting field and outline several new directions. In particular, refined AR scheduling strategies will be presented to help lower request blocking rates and improve resource efficiencies. Furthermore, novel control plane protocol extensions will also be detailed to help implement theoretical AR algorithms in distributed real-world networks.
Dr. Nasir Ghani is the Associate Chair of the Department of Electrical & Computer Engineering at the University of New Mexico, USA. He is currently involved in a range of research activities, and his interests include network cyberinfrastructure design, cloud/grid-computing, system survivability, and knowledge-based systems. He has published over 150 papers, several book chapters, and has several well-cited patents. His research work has been funded by several US government agencies, including the National Science Foundation (NSF) and Department of Energy (DOE), as well as some industry sponsors. Dr. Ghani also received the prestigious NSF CAREER award in 2005 for his research work in multi-layer network design. Prior to joining academia, Dr. Ghani spent over 8 years working in industry and held key technical positions at several large companies (Nokia, Motorola, IBM) as well as some start-up organisations (Sorrento Networks, Array Systems Computing). In addition, he is actively involved in a range of outreach and technical community service roles. Most notably, he was the chair of the IEEE ComSoc Technical Committee on High Speed Networks (TCHSN) from 2008-2010 and has also been a symposium co-chair for IEEE Globecom (2006, 2010), IEEE ICC (2006, 2011), and IEEE ICCCN (2011). He has also built and established a successful high-speed networking workshop series for the flagship IEEE INFOCOM conference and has served as a panelist for numerous international panels. Dr. Ghani is an Associate Editor of the IEEE Systems and IEEE Communications Surveys & Tutorials journals, and he has served on the editorial board for IEEE Communications Letters from 2002-2011. He has also guest-edited several special issues of IEEE Network, IEEE Communications Magazine, and Cluster Computing. He is a Senior Member of the IEEE and has been a faculty advisor for the Etta Kappa Nu honor society. Dr. Ghani received his Bachelors in Computer Engineering from the University of Waterloo, Canada, his Masters in Electrical Engineering from McMaster University, Canada, and his Ph.D. in Computer Engineering from the University of Waterloo, Canada.
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