Current Projects:

PI for one of the sub research topics about microservice platform management, Key R & D plan of the Ministry of science and technology,¥13 million,I am responsible for  ~¥40,0000,2021.1-2023.12

PI, SIAT Innovation Program for Excellent Young Researchers, Supported by SIAT-CAS, ¥80,000, 2020.1-2021.12

Co-PI, CloudSim Research Project for Siemens MindSphere, Supported by Siemens (Chengdu) Company,¥150,000, 2019.9-2019.12

Part of a team for Software Defined Approach and Key Technology of Smart Management of Cloud Data Centers, Key-Area Research and Development Program of Guangdong Province (No.2020B010164003), ¥20 million, 2020.1-2022.12

Supervised Students:

  1. Ms. Qi Fan (2019.6-2019.8, MSc  from USTB, PhD at École Polytechnique,Paris, France)

  2. Mr. Qiheng Zhou (2019.7-2020.6, undergraduate from SYSU, one CCGRID 2020 paper, →master at Rice University, USA)

  3. Mr. Lingxiao Xu (2020.2-now, postgraduate from UESTC, one CollaborateCom 2020 paper)

  4. Mr. Chenghao Song (2020.7-now, BSc from UESTC, master at University of Melbourne, Australia)

Past Projects:

BrownoutCon

 A software prototype system implementing brownout based on containers. The testbed is based is based on Grid'5000. Containers are managed by Docker Swarm. The containers are controlled to save energy consumption.

codes

CloudSimBrownout

heduling process, we propose FlexCloud, a new flexible and scalable simulator that eBrownout is an approach enables to dynamically deactivate/acticate optional application components to handle overloads. We have implemented brownout techniques in CloudSim to reduce energy consumption in data centers.

paper

codes

 

FlexCloud

February 2013 to June 2013

Cloud Data centers aim to provide reliable, sustainable and scalable services for different requests. Resource scheduling is a key part for Cloud services. To simplify the scheduling process, we propose FlexCloud, a new flexible and scalable simulator that enables simulating the process of initializing cloud data centers, allocating virtual machine requests, and providing performance evaluation for various scheduling algorithms.

paper

codes