International Symposium on Computer Performance, Modeling, Measurements and Evaluation
摘要截稿: 2019-02-11
全文截稿: 2019-02-18
开会时间: 2019-06-24
会议难度:
CCF分类: B类
会议地点: Phoenix, Arizona, USA
Overview
The 2019 ACM SIGMETRICS / IFIP Performance conference solicits papers on the development and application of state-of-the-art, broadly applicable analytic, simulation and measurement-based performance evaluation techniques. The conference provides a high-quality single-track forum for presenting results and discussing ideas that further our knowledge and understanding of the measurement, modeling, analysis, and design of computing and networked systems. 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 a variety of computing, networked, and cyber-physical systems ranging from mobile devices and Internet-of-Things (IoT) applications to large-scale cloud computing systems and the smart grid.
Papers that are accepted to appear in the conference will be published in the new journal: Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS).
We solicit papers describing original and previously unpublished research. Specific topics of interest include, but are not limited to, the following.
Quantitative measurement, design and evaluation studies of:
Computer and communication networks, protocols and algorithms
Wireless, mobile, ad-hoc and sensor networks, IoT applications
Computer architectures, multi-core processors, memory systems and storage networks
Operating systems, file systems and databases
Data processing
Virtualization, data centers, distributed and cloud computing
Mobile and personal computing systems
Energy-efficient computing systems
Real-time and fault-tolerant systems
Security and privacy of computing and networked systems
Software systems and enterprise applications
Social networks, multimedia systems, service-oriented architectures and Web services
Large-scale operational systems
Cyber-physical systems, including the smart grid
Methodologies, formalisms, metrics, solution techniques and algorithms for:
Analytical modeling techniques and model validation
Workload characterization and benchmarking
Performance, scalability, power and reliability analysis
Sustainability analysis and power management
System measurement, performance monitoring and forecasting
Anomaly detection, problem diagnosis and troubleshooting
Capacity planning, resource allocation, run time management and scheduling
Quality of service, total cost of ownership and pricing
Experimental design, statistical analysis, simulation
Game theory, network economics, and platform design
Machine learning, big data, and signal processing