The First International Workshop on Hot Topics in Big Data and Networking (HotData I)
The world is awash with Big Data now — we are generating ten exabytes of data every day. On the Internet, the annual IP traffic will pass the threshold of a full zettabyte in a few years. The next-generation networking data is growing not only fast and bursty, as we already know, but also much more sophisticated and unpredictable due to the heterogeneous connecting devices (mobiles, sensors, humans), protocols and the higher penetration of large-scale cloud-computing services. Across the networking society, we must keep the data governance capability outstripped the weave of Big Data to ensure our success.
The First International Workshop on Hot Topics in Big Data and Networking (HotData I) is organized with the aim to bring together researchers from both the networking community and data-intensive societies such as data mining, database and visualization. We are very interested in contributions that bridge these fields, e.g. leveraging the cutting-edge data management and analysis techniques to solve the emerging networking problem. The technical program will consist of one keynote speech, 10~15 full research papers accommodated into 3 technical sessions, as well as a tentative demo/poster program.
Topics include but are not limited to:
- Big Data computing infrastructure for networking
- Advanced database and novel data models for networking
- Large-scale social network analysis
- Open data platform for networking
- Data mining on dynamic, heterogeneous and large-scale networks
- High-performance software techniques and architecture for networking
- New programming models for large-scale networks
- Emerging data processing techniques for sensor networks and RFID
- Large-scale data analysis on cellular, mobile and P2P networks
- User behavior analysis and modeling in large-scale networks
- Geospatial and spatiotemporal data analysis on large-scale networks
- Data processing in high performance optical networking
- Data management in large-scale data center networks
- Information visualization techniques for network security and monitoring
- Large-scale data analytics of software-defined networking