Research Interests

My research interests include cloud computing, big data processing, distributed systems and resource management. Specifically, I'm interested in designing and building cost-efficient resource management systems for the cloud, with an emphasis on big data processing applications.

Recent Highlights

• [Paper] 2017: Our paper on Energy-Driven Straggler Mitigation in MapReduce is accepted in Euro-Par 2017.
• [Program Committee] 2017: I am serving as a TPC member of the Data/Storage/Visualization track of HPCAsia 2018.
• [Program Committee] 2017: I am serving as a TPC member of the Parallel and Distributed Architectures track of ICA3PP 2017.
• [Program Committee] 2017: I am serving as a TPC member of 1st Workshop on the Integration of Extreme Scale Computing and Big Data Management and Analytics EBDMA 2017.
• [Program Committee] 2017: I am serving as a TPC member of the FCST 2017.
• [Paper] 2017: Our paper on On Efficient Data Transfer for Graph Processing in Geo-Distributed Datacenters is accepted in ICDCS 2017 (Applications and Experiences Track).
• [Paper] 2017: Our paper on On Revisiting the Design of Data Stream Processing Systems on Multi-Core Processors is accepted in ICDE 2017.
• [Paper] 2016: Our paper on A Declarative Optimization Engine for Resource Provisioning of Scientific Workflows in Geo-Distributed Clouds is accepted by IEEE TPDS.

Short bio

I am a postdoc fellow within the Ascola team at INRIA Rennes, closely working with Dr. Shadi Ibrahim on big data management and cloud computing. I obtained my PhD degree in 2016 from Nanyang Technological University (NTU), Singapore, under the supervision of Dr. Bingsheng He. I received my Bachelor's degree in 2009 and Master's degree in 2011 both from Beihang University, China.

Research Experience

• May 2016 ~ present Postdoctoral researcher at INRIA-Rennes, France
• Aug 2015 ~ Apr 2016 Research Associate at Nanyang Technological University, Singapore

Education

• Nanyang Technological University, Singapore
  Ph.D., Computer Science, Apr 2016
  Thesis: Simplified and Effective Resource Provisioning for Scientific Workflows in IaaS Clouds
• Beihang University, Beijing, China
  M.S., Electronic Engineering, Dec 2011
  Thesis: Research on the Model and Algorithms for Air Route Network Optimizations
  
• Beihang University, Beijing, China
  B.E. with Honors, Electronic Engineering, Aug 2009
  

Awards

• INRIA Postdoctoral Fellowship
• Spotlight Article Recipient, IEEE Transactions on Cloud Computing
• Best PhD Consortium Award, CloudCom'14
• Student Travel Grant, IPDPS'14
• Research Scholarship, NTU
• Graduated with Highest Honors, Beihang University
• First Prize Academic Award (top 1%), Beihang University
• First Prize in Beijing Undergraduate Electronic Design Contest

Publications

• [Euro-Par] Tien-Dat Phan, Shadi Ibrahim, Amelie Chi Zhou, Guillaume Aupy and Gabriel Antoniu, Energy-Driven Straggler Mitigation in MapReduce, in Euro-Par 2017, Spain, Aug 2017.
  
• [ICDCS] Amelie Chi Zhou, Shadi Ibrahim, Bingsheng He, On Achieving Efficient Data Transfer for Graph Processing in Geo-Distributed Datacenters, In ICDCS 2017 (Applications and Experiences Track), Atlanta, GA, USA, Jun 2017.
  
• [ICDE] Shuhao Zhang, Bingsheng He, Daniel Dahlmeier, Amelie Chi Zhou, Thomas Heinze, Revisiting the Design of Data Stream Processing Systems on Multi-Core Processors, In ICDE 2017, San Diego, CA, USA, Apr 2017.
  
• [TPDS] Amelie Chi Zhou, Bingsheng He, Xuntao Cheng, Chiew Tong Lau, A Declarative Optimization Engine for Resource Provisioning of Scientific Workflows in Geo-Distributed Clouds, in IEEE TPDS vol. 28, no. 3, pp. 647-661, Mar 2017.
  
• [Book Chapter] Amelie Chi Zhou, Bingsheng He, Shadi Ibrahim, A Taxonomy and Survey of Scientific Computing in the Cloud, in Rajkumar Buyya, Rodriog N. Calheiros, and Amir Vahid Dastjerdi: Big Data: Principle and Paradigms, Chapter 17, Publisher: Morgan Kaufmann, 2016.
  
• [SC] Yifan Gong, Bingsheng He, Amelie Chi Zhou, Monetary Cost Optimizations for HPC Applications on Amazon Clouds: Checkpoints and Replicated Execution, in SC 2015, Austin, TX, USA, Nov 2015.
  
• [HPDC] Amelie Chi Zhou, Bingsheng He, Xuntao Cheng, Chiew Tong Lau, A Declarative Optimization Engine for Resource Provisioning of Scientific Workflows in IaaS Clouds, in HPDC 2015, Portland, OR, USA, Jun 2015..
  
• [TCC] Amelie Chi Zhou, Bingsheng He, Cheng Liu, Monetary Cost Optimizations for Hosting Workflow-as-a-Service in IaaS Clouds, in IEEE TCC 4(1): 34-48 (2015).
  
• [TPDS] Bingsheng He, Jeffrey Xu Yu, Amelie Chi Zhou, Improving Update-Intensive Workloads on Flash Disks Through Exploiting Multi-Chip Parallelism, in IEEE TPDS 26: 152-162 (2015).
  
• [CloudCom] Amelie Chi Zhou, Bingsheng He, Simplified Resource Provisioning for Workflows in IaaS Clouds, in CloudCom 2014, Best PhD Consortium Award, Singapore, Dec 2014.
  
• [TCC] Amelie Chi Zhou, Bingsheng He, Transformation-based Monetary Cost Optimizations for Workflows in the Cloud, in IEEE TCC 2(1): 85-98 (2014), Spotlight article of the issue, invited presentation in IEEE CloudCom 2014.
  

Professional Services

• Local Chair for CloudCom 2014, Singapore, Dec. 2014.
  
• Program Committee member: HPCAsia'18, FCST'17, ICA3PP'17, EBDMA'17, CloudCom'14.
  
• Reviewer and External Reviewer: Transactions on Big Data (TBD), Future Generation Computer Systems (FGCS), ACM Transactions on Internet Technology (TOIT), Journal of Supercomputing (JoS), IEEE Transactions on Cloud Computing (TCC), ACM Transactions on Autonomous and Adaptive Systems (TAAS), ACM Computing Surveys, SSDBM'17, ICDE'17, Cluster'16, HPDC'16, ICPADS'15, CloudCom Asia 2015, CloudCom'14.

Teaching Experience

• Teaching Assistant
  Operating System, NTU, Fall 2014, Spring and Fall 2015.
  Object Oriented Design & Programming, NTU, Fall 2013.
  
• Student Advisor
  Undergraduate Research Experience on Campus (URECA) Project, NTU, Spring 2013.
  

© Amelie Chi Zhou 2017