Professor Thomas G. Robertazzi

Current Research:

Petascale and Exascale Computing:

The cutting edge of large scientific experiments is the generation of petabytes, and eventually exabytes, of data. Such large volumes of data require advances in computing, networking and software. Spinoffs to engineering and business apllications should follow.

Brokered E-Commerce

This was a NSF-funded effort to develop theory and software for a broker that would allow developers of algorithms to be matched with people/organizations who would want to use them.
Click Here For The Brokered E-Commerce Research Page

Performance Evaluation and Optimization:

Ongoing work in performance evaluation involves creating and solving deterministic and statistical models of networked computers as well as related applications such as those in e-commerce and the sciences.

Scheduling in parallel and distributed systems:

For the past fiteen years work at Stony Brook has developed a very tractable model of scheduling divisible (partitionable) loads. The methodology is very well suited to integrating communication and computation issues. A world wide publication list on this topic is available at this web site.

Distributed Systems:

The decreasing cost and size of powerful computers and advances in networking technology make this an exciting time to do research on distributed systems. Ongoing work includes computational grids, wireless sensor networks and ad hoc radio networks.

Divisible Load Scheduling Theory Publications:

Markov Chain Algebraic Topology:

This research seeks to gain an understanding of the fine structure of Markov chains, particularly in terms of conditions leading to tractable product form solutions. Its major successes were in (1) relating Markov chain structure and labeling to the chain flow structure and product form solutions (2) a new family of stochastic Petri net with product form solution (3) identifying recursive structure in certain non-product form queueing models leading to efficient solutions for equilibrium probabilities and (4) identifying a simple flow structure for non-product form networks.

Science and Engineering Living Learning Center:

Prof. Robertazzi has been the faculty director of the Science and Engineering Living Learning Center at Stony Brook for about 12 years. This is an academic unit in the O'Neil residence hall that offers courses, minors and hosts speakers to bring an academic dimension to residential life. In fact over 150 speakers in science, engineering, the liberal arts and medicine have given presentations during Prof. Robertazzi's tenure as faculty director. Two minors, one in interdiscplinary science and engineering and one in technical leadership, are currently available to all Stony Brook undergraduates.

Books by Dr. T.G. Robertazzi:

Click here to see books

Biography:

Click here to see Dr. Robertazzi's biography

Some Papers:

W. Caraballo and T.G. Robertazzi,"Markov Chain Flow Decomposition for a Two Class Priority Queue," Conference on Information Sciences and Systems, The Johns Hopkins University, Baltimore, Maryland, March 2003, short paper.

T.G. Robertazzi,"Twinflows: Markov Chain Decomposition for Tandem Queues with Blocking," Conference on Information Sciences and Systems, Princeton University, Princeton N.J, March 2002, short paper.

C. Chigan, G. Atkinson, R. Nagarajan and T.G. Robertazzi," Mathematical Programming for Joint Restoration of IP over Optical Networks," Conference on Information Sciences and Systems, Princeton University, Princeton N.J, March 2002, short paper.

S.H. Kim and T.G. Robertazzi,"Spatial Network Traffic Intensity," Conference on Information Sciences and Systems, Princeton University, Princeton N.J, March 2000, short paper.

K. Ko and T.G. Robertazzi,"Record Search Time Evaluation," Conference on Information Sciences and Systems, Princeton University, Princeton N.J, March 2000, short paper.

S-H. Kim and T.G. Robertazzi,"Mobile Agent Modeling," 2002 Conference on Information Sciences and Systems, Princeton University, Princeton N.J., March 2002. Journal version: "Modeling Mobile Agent Behavior," Computers and Mathematics with Applications, vol. 51, issues 6-7, March-April 2006, pp. 951-966.