WPerformance: Palestra 3: "Queues Are Everywhere (in Performance Modeling and Analysis)"
Richard Gail (IBM T.J. Watson Research Center, USA)
Horário: 10:45 - 11:45
Local: Auditório 9

Short Bio:
Richard Gail received the BA in mathematics from the University of California, Riverside (UCR), the MA in mathematics from the University of California,Los Angeles (UCLA) and the PhD in Engineering from UCLA under the direction of Leonard Kleinrock. He then joined the IBM T.J. Watson Research Center in Yorktown Heights, NY. At IBM he worked on a software tool for the design and analysis of computer networks, and he also worked on theoretical problems about priority queues, Neuts-type queues (M/G/1 and GI/M/1 systems), and multidimensional Markov chains. Other areas of work included buffering algorithms, performability theory and a software tool for call centers to diagnose hardware problems.
He received an IBM Outstanding Innovation Award, an IBM Research Division Award, and was also awarded four US patents. He was a visiting researcher at Universidade Federal do Rio de Janeiro (UFRJ Brasil), Chinese University of Hong Kong (China) and Tsukuba University (Japan). Currently he has a visiting professor appointment at UFRJ. His major research interests include queueing theory and performability modeling and analysis.
 
Abstract:
Queueing models constitute an important building block in the specification of performance models of computer systems and networks. Several different queueing models are reviewed and a discussion of their application and solution is presented.
Examples include polling system models, switch and multiplexor models, and models of server farms.
In addition the use of queueing systems as a part of the development of certain availability/performability models is described.
An introduction to several of the techniques utilized in the analysis of queueing systems with special structure is also briefly discussed.