NUS SOC Summer Workshop 2019
About Topic
Cloud Computing with Big Data
Cluster: Big Data and Cloud Computing
This workshop exposes students to both the theory and practice of cloud computing. The learning objectives include understanding of key principles of cloud computing concepts, models, technologies and its application for big data. For projects, students will learn to develop web-based big data cloud applications.
Topics include:
To design a big data application and to develop its implementation on a public cloud. A hackathon-like approach will be adopted to allow students to suggest ideas and form teams based on individual interests and skills. Two 3-hr lectures cover programming PaaS and SaaS IBM cloud services and pattern-based approach to design and implement big data applications. Students learn by examples with hands-on laboratories. For data, students will tap on the rich Singapore Smart Nation Open Government Data repositories.
Topics include:
- principles of cloud computing
- key business drivers
- basic concepts and terminology
- technical and non-technical challenges; fundamental concepts and models
- reference architecture
- cloud deployment models; technologies behind cloud computing
- main components in a datacenter
- virtualization
- multitenancy; cloud architecture
- how to operate/manage resources to meet certain objectives
- cloud bursting; cloud applications and paradigms
- challenges in developing applications
- application development models – IaaS (Infrastructure as a Service)
- PaaS (Platform as a Service) and SaaS (Software as a Service)
- MapReduce programming model.
Cloud-based Big Data Projects - The learning outcome
To design a big data application and to develop its implementation on a public cloud. A hackathon-like approach will be adopted to allow students to suggest ideas and form teams based on individual interests and skills. Two 3-hr lectures cover programming PaaS and SaaS IBM cloud services and pattern-based approach to design and implement big data applications. Students learn by examples with hands-on laboratories. For data, students will tap on the rich Singapore Smart Nation Open Government Data repositories.
Knowledge of programming is compulsory; web programming experience will be useful.
About Lecturer
Professor Teo Yong Meng
Professor Teo was a Visiting Professor at the Chinese Academy of Science in China from 2010-2014. He received his PhD and MSc in Computer Science from the University of Manchester in UK.
Professor Teo's recent research focuses on the performance of heterogeneous systems and formalizing emergence in complex systems. Among the awards he won the Wintersim Best Applied Paper Award in 2015, Best Paper Award at the 10th International Conference on Algorithms and Architectures for Parallel Processing in 2010.
At the School of Computing, he is the leader for Systems and Network Research. He has received various research grants including European Commission, Fujitsu Computers (Singapore) Pte Ltd, Fujitsu Laboratories Ltd (Japan), Sun Microsystems/Oracle (USA), NVIDIA and PSA Corporation.
Professor Teo's recent research focuses on the performance of heterogeneous systems and formalizing emergence in complex systems. Among the awards he won the Wintersim Best Applied Paper Award in 2015, Best Paper Award at the 10th International Conference on Algorithms and Architectures for Parallel Processing in 2010.
At the School of Computing, he is the leader for Systems and Network Research. He has received various research grants including European Commission, Fujitsu Computers (Singapore) Pte Ltd, Fujitsu Laboratories Ltd (Japan), Sun Microsystems/Oracle (USA), NVIDIA and PSA Corporation.
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CONTACT
NUS School of Computing13 Computing Drive
Singapore 117417
sws@comp.nus.edu.sg
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NUS SOC Summer Workshop 2018
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