Stochastic Network Optimization with Application to Communication and Queueing Systems

Michael J. Neely received B.S. degrees in both Electrical Engineering and Mathematics from the University of Maryland, College Park, in 1997. He then received a 3 year Department of Defense NDSEG Fellowship for graduate study at the Massachusetts Institute of Technology, where he completed the M.S. degree in 1999 and the Ph.D. in 2003, both in Electrical Engineering. He joined the faculty of Electrical Engineering at the University of Southern California in 2004, where he is currently an Associate Professor. His research interests are in the areas of stochastic network optimization and queueing theory, with applications to wireless networks, mobile ad-hoc networks, and switching systems. Michael received the NSF Career award in 2008 and the Viterbi School of Engineering Junior Research Award in 2009. He is a member of Tau Beta Pi and Phi Beta Kappa.

• Introduction.- Introduction to Queues.- Dynamic Scheduling Example.- Optimizing Time Averages.- Optimizing Functions of Time Averages.- Approximate Scheduling.- Optimization of Renewal Systems.- Conclusions.