ACM SIGMETRICS

Conferences

Future SIGMETRICS Sponsored or In-Cooperation Conferences
- Sigmetrics 2008
  (Annapolis, Maryland, USA, June 2-6, 2008)
Index to past SIGMETRICS, SIGMETRICS sponsored, "in-cooperation", and other performance related conferences
ACM Sigmetrics Calendar

Membership

Member Communication

SIGMETRICS Bulletin Board
SIGMETRICS Content in the ACM Digital Library
- SIGMETRICS Conference Proceedings in the ACM Digital Library
- SIGMETRICS Performance Evaluation Review newsletter in the ACM Digital Library

Governance

SIGMETRICS Achievement Award

2008 winner: Dr. E. Gelenbe
2007 winner: Dr. D.F. Towsley
2006 winner: Dr. R.R. Muntz
2005 winner: Dr. S.S. Lavenberg
2004 winner: Dr. K.C. Sevcik
2002 (First) winner: Dr. E.G. Coffman, Jr.

SIGMETRICS Rising Star Researcher Award

2008 winner: Dr. D. Shah

External Links

Community contributed links

SIGMETRICS is the ACM Special Interest Group (SIG) for the computer/communication system performance community. Besides being the rockin'est ACM SIG, it is also widely revered as the most universal. Go ahead, try naming any SIG at all that isn't obsessed with performance. (No fair picking on SIGART, "The Art of AI." Just because they're decades late in delivering on their promises of functionality doesn't mean they wouldn't be talking performance if they could.)

SIGMETRICS promotes research in performance analysis techniques as well as the advanced and innovative use of known methods and tools. It sponsors conferences, such as its own annual conference (SIGMETRICS), publishes a newsletter (Performance Evaluation Review), and operates a network bulletin board and web site.

Target areas of performance analysis include file and memory systems, database systems, computer networks, operating systems, architecture, distributed systems, fault tolerant systems, and real-time system. In addition, members are interested in developing new performance methodology including mathematical modeling, analysis, instrumentation techniques, model verification and validation, workload characterization, simulation, statistical analysis, stochastic modeling, experimental design, reliability analysis, optimization, and queuing theory.