An integrated virtualized and containerized architecture for Financial Cloud Big Data application
In this session, we will share the result of a Big Data joint-collaboration project with China UnionPay and China Fudan University. The purpose of this project is to develop a converged virtualized and containerized architecture for Financial Cloud Big Data applications:
- Decouple Big Data computation models and enable co-existence of virtualized and containerized computation on the physical platform.
- Sharing infrastructure resources (storage, network) for Big Data applications across virtualized and containerized architecture.
- Converge Big Data scheduling mechanism for virtualized and containerized deployment with resource isolation.
Key challenges includes:
- How to integrate different Big Data computation models in virtualized and containerized environment?
- How to integrate storage and network resources in such an integrated environment?
What can I expect to learn?
The OpenStack Financial Team was established since Sydney Summit (Nov 2017). Since then, the team collaborated with many experts in financial and research institutions to develop solutions and to identify functional gaps for Financial Cloud.
In this session, we will present the result of a collaboration project of using VM and container for Big Data in Financial Cloud. The attendees will learn:
- The integrated virtualized and containerized architecture solution for Financial Big Data application
- The functional and performance analysis of the solution.
- The application of OpenStack Sahara and Zun for Financial Big Data use case
Wednesday, November 14, 3:10pm-3:20pm (2:10pm - 2:20pm UTC)
Difficulty Level: Advanced
Intel Corporation
Dr. Sun accumulated near two decades of experience in software development and data-center infrastructure. He obtained PhD Computer Science (multi-cloud orchestration) in 2013. He spent the past 10 years on cloud-based infrastruture architecture design. He has the opportunity to work for various projects that span across multiple areas (Media, Financial, Academic/Research, Telecommunication,... FULL PROFILE
Researcher
Education2008.9 - 2011.5 Signal and Information Processing, Tongji University, M.E.2004.9 - 2008.7 Communication Engineering, Tongji University, B.E.2004.9 - 2007.7 Minor in International Trade, Tongji University.
Work experience
2011.5 - present China UnionPay Research Institute of Electronic Payment, China National Engineering Laboratory of Electronic Commerce and Electronic... FULL PROFILE
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