PerfIoT 2016 - Workshop on Performance Evaluation of IoT Applications (PerfIoT)
Topics/Call fo Papers
Internet-of-Things offers a huge potential in redefining the way we live and work because of which it is garnering a lot of attention from government, academia and industry alike. IoT applications range from smart home, smart cities to smart agriculture.
Performance testing, predicting performance of IoT applications would play a very important role in taking them to the next level of wide acceptance. IoT operates in a complex ecosystem - an IoT application touches various layers of technologies. Diversity of IoT applications, different access patterns of smart devices, unreliability of various interacting communication networks, resource constrained devices and lack of standardized protocols or standards add to the challenges in performance analysis of these applications.
Traditional performance modeling has focused on request-response applications dealing with fixed size data sets. The new breed of IoT applications will break conventional performance modeling and analysis paradigms, and newer techniques are warranted that can address growing and dynamic data sets. This coupled with unreliability in devices further compounds the analysis of IoT systems. This workshop focuses specifically on performance related issues in IoT which is a state-of-the-art offering today. It also provides an informal discussion forum among attendees and participants to exchange ideas, and gain insights into real-world experiences of performance tuning in IoT.
Topics of interest include (but are not limited to):
Performance modeling, analysis, and prediction of performance of IoT applications
Advanced simulation techniques and tools for performance evaluation and prediction
Micro-benchmarking, application benchmarking and tracing
Verification and validation of performance models
Benchmarking and scalability analysis of novel IoT platforms
Performance concerns in design of IoT Platforms
Tuning and auto-tuning of IoT applications and algorithms
Best Practices, Recommended Techniques for ensuring performance
Reliability and Availability of IoT applications and services
Experience Report on performance analysis
Real-world case studies satisfying QoS
Performance testing, predicting performance of IoT applications would play a very important role in taking them to the next level of wide acceptance. IoT operates in a complex ecosystem - an IoT application touches various layers of technologies. Diversity of IoT applications, different access patterns of smart devices, unreliability of various interacting communication networks, resource constrained devices and lack of standardized protocols or standards add to the challenges in performance analysis of these applications.
Traditional performance modeling has focused on request-response applications dealing with fixed size data sets. The new breed of IoT applications will break conventional performance modeling and analysis paradigms, and newer techniques are warranted that can address growing and dynamic data sets. This coupled with unreliability in devices further compounds the analysis of IoT systems. This workshop focuses specifically on performance related issues in IoT which is a state-of-the-art offering today. It also provides an informal discussion forum among attendees and participants to exchange ideas, and gain insights into real-world experiences of performance tuning in IoT.
Topics of interest include (but are not limited to):
Performance modeling, analysis, and prediction of performance of IoT applications
Advanced simulation techniques and tools for performance evaluation and prediction
Micro-benchmarking, application benchmarking and tracing
Verification and validation of performance models
Benchmarking and scalability analysis of novel IoT platforms
Performance concerns in design of IoT Platforms
Tuning and auto-tuning of IoT applications and algorithms
Best Practices, Recommended Techniques for ensuring performance
Reliability and Availability of IoT applications and services
Experience Report on performance analysis
Real-world case studies satisfying QoS
Other CFPs
Last modified: 2016-01-07 23:03:00