ACM SIGMETRICS 2013 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 be held from June 18-20, 2013. There will be workshops and tutorials on June 17, 2013. There will also be workshops on June 21, 2013. Submission details will be published shortly on this Web site. A rebuttal process will be piloted this year to provide authors with the opportunity to clarify misunderstandings perceived in the first round reviews.

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
• Large-scale operational systems
• Software systems and enterprise applications
• Smart power grids
• 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
• Performance-oriented applications of game theory, economics, machine learning, control theory, and signal processing