SIGMETRICS 2012 - SIGMETRICS '12 ACM SIGMETRICS/PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems

The 12th joint ACM SIGMETRICS / Performance conference solicits papers on the development and application of state-of-the-art, broadly applicable analytic, simulation and measurement-based performance evaluation techniques. Of particular interest is work that presents new performance evaluation methods or that creatively applies previously developed methods to make predictions about, or gain insights into key design trade-offs in, computer and networked systems. The main conference will last three days, 12-14 June 2012, and have two keynote speakers, to be announced shortly. A day of tutorials will precede and a day of workshops will follow the main conference. The notion of performance is broadly construed - including considerations of speed and scalability as well as reliability, availability, sustainability and manageability of systems. We encourage both theoretical contributions and also submissions relating to real world empirical studies or focusing on implementation and experimental issues.

Quantitative design and evaluation studies of
Computer and communication networks, protocols and algorithms
Wireless, mobile, ad-hoc, and sensor networks
Computer architectures, multi-core processors, memory systems and storage networks
Operating systems, file systems and databases
Virtualization and data centers
Distributed and cloud computing
Social networks, multimedia systems, service-oriented architectures, and Web services
Energy-efficient computing systems
Real-time and fault-tolerant systems
Mobile and personal computing systems
Security systems and network attacks
Large-scale operational systems
Software systems and enterprise applications
Emerging technologies
Methodologies, formalisms, solution techniques and algorithms for
Performance, scalability, power, and reliability analysis
Sustainability analysis and power management
Capacity planning, resource allocation, run time management and scheduling
Anomaly detection
Analytical modeling techniques and model validation
System measurement, monitoring and forecasting
Workload characterization and benchmarking
Quality of service, total cost of ownership and pricing
Experimental design, statistical analysis, simulation