Event Details

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Improving Private Cloud performance for big data analytics workload

With the emergence of Big Data and AI analytic use cases, Enterprise IT is striving to transform and modernize existing infrastructure to support new business models. In this presentation, we will discuss how an Open Infrastructure architecture can be utilized for this type of next generation workloads. With the upcoming releases, the community is adding many new features including support of persistent memory. We will discuss our latest contribution to OpenStack and how we integrate these new features to build an open infrastructure for Big Data. 

In this talk, we will first discuss the requirements of Big Data applications. Then we will share our experience on how to build and optimize an OpenStack Private Cloud for such workload. We will illustrate the OpenStack software architecture as well as the underlying hardware reference design for Big Data workload. We will describe the benchmark methodology and share the performance improvement on such implementation.

What can I expect to learn?

The audience will learn:

1. General requirements for Big Data application
2. OpenStack software and hardware architecture for Big Data
3. Big Data benchmark methodology
4. Performance improvement over persistent memory architecture

Monday, November 4, 4:00pm-4:40pm (8:00am - 8:40am UTC)
Difficulty Level: Intermediate
Qi Kaiyuan is a senior architect and manager in Inspur company and in charge of R&D for the cloud computing product called InCloud OS. Qi is a PhD of Institute of Computing, Chinese Academy of Sciences. His research interests include distributed system and cloud computing. Now, Qi is leading a DevOps team in Inspur to provide Enterprise service based on OpenStack, such as customization,... FULL PROFILE
Zhiyuan Su is a senior system engineer in Inspur Group and mainly in charge of the planning and design of Inspur’s cloud computing product named InCloud OS. Su received his Ph.D at Dalian University of Technology in 2014. He was a visiting PHD student at Georgia Tech between 2011.9 and 2013.9. His current research interests include distributed system and cloud computing. In addition, he... FULL PROFILE
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