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  • SIGMETRICS is the flagship conference of the SIGMETRICS community.
  • Performance is the flagship conference of IFIP WG 7.3 and occurs jointly with SIGMETRICS once every three years.
  • IMC is at the intersection between SIGCOMM and SIGMETRICS, focusing on Internet measurement.
  • SenSys focuses on the design, implementation, and application of sensor networks.
  • ICPE (formerly WOSP/SIPEW) focuses on the intersection of software design and performance evaluation.

B. Prabhakar 2022 ACM SIGMETRICS Achievement Award

ACM SIGMETRICS is pleased to announce the selection of Prof. Balaji Prabhakar of Stanford University as the recipient of the 2022 ACM SIGMETRICS Achievement Award in recognition of his outstanding contributions to applied probability and the theory and design of Internet algorithms, data center networks and societal networks.

Prof. Prabhakar is VMWare Founders Professor of Computer Science and a faculty member in the Departments of Electrical Engineering and Computer Science at Stanford University. His research interests are in computer networks; notably, in Data Center Networks and Cloud Computing Platforms. He has also worked on Societal Networks: networks vital for society's functioning, such as transportation, electricity and recycling systems. He has developed "nudge engines" to incentivize commuters to travel in off-peak times so that congestion, fuel and pollution costs are reduced.

He has made important contributions to the analysis of large-scale queueing networks, fixed points of queueing operators, randomized load balancing, and has resolved many conjectures in the applied probability field. Notably, he and his collaborators have established the Reiman-Simon Conjecture for queueing tandems and the Parisi and Coppersmith-Sorkin Conjectures for the random assignment problem. When it comes to applications, he has developed widely-used congestion control protocols and, recently, an accurate clock synchronization system used for ensuring "fairness" in financial trading exchanges. He has also used ideas from Networking to make significant contributions in faraway areas, bridging disciplines in the process; for example, relating the foraging behavior of Harvester ants to congestion control in networks, using incentives to reduce peak traffic on roads and trains, using ideas from network tomography to build big data systems for Urban Mobility.

Prof. Prabhakar has been a Terman Fellow at Stanford University, and a Fellow of the Alfred P. Sloan Foundation, IEEE and ACM. He has received the CAREER award from the U.S. National Science Foundation, the Erlang Prize from the INFORMS Applied Probability Society, the Rollo Davidson Prize from the University of Cambridge, and delivered the Lunteren Lectures. He is the recipient of the inaugural IEEE Innovation in Societal Infrastructure Award which recognizes "significant technological achievements and contributions to the establishment, development and proliferation of innovative societal infrastructure systems. He has received the IEEE Koji Kobayashi Award for his work on Computer Communications. He has served on the Advisory Board of the Future Urban Mobility Initiative of the World Economic Forum, and is a co-recipient of several best paper and test of time awards. Additional information is available on his website: https://web.stanford.edu/~balaji/.