Problems, Solutions, and Optimization for Modern Clouds


Grant Data
Project Title
Problems, Solutions, and Optimization for Modern Clouds
Principal Investigator
Professor Lau, Francis Chi Moon   (Project coordinator)
Co-Investigator(s)
Professor Chen Minghua   (Co-principal investigator)
Dr Xu Hong, Henry   (Co-principal investigator)
Professor Li Bo   (Co-principal investigator)
Professor Chen Kai   (Co-principal investigator)
Dr Wang Jianping   (Co-principal investigator)
Professor Lee Patrick Pak-ching   (Co-principal investigator)
Dr Wu Chuan   (Co-principal investigator)
Duration
36
Start Date
2016-03-01
Completion Date
2019-02-28
Amount
5102143
Conference Title
Presentation Title
Keywords
Cloud computing, Datacenter, Virtualization, Resource allocation, Optimization
Discipline
Network,Computer Science Fundamentals
Panel
Engineering
Sponsor
RGC Collaborative Research Fund (CRF)
HKU Project Code
C7036-15G
Grant Type
Collaborative Research Fund (CRF) - Group Research Project
Funding Year
2015/2016
Status
On-going
Objectives
2. To devise online algorithms and pricing mechanisms for dynamic resource provisioning and assembly, which will lead to optimal resource utilization and maximum social welfare over the long run of the cloud system. 3. To design an efficient mechanism to handle tenants' bandwidth demands that can provide bandwidth guarantees, satisfy work-conservation, and offer low latency to short flows. 4. To study the effects of the scheduling delays introduced by the hypervisor on the functioning of the VM and the guest OS and to devise methods to help those functions that are delay-sensitive. 5. To develop an optimization framework, fast algorithms, and a practical failover protocol to improve efficiency and robustness of bandwidth scheduling in inter-datacenter WAN. 6. To design dynamic provisioning schemes that, via scheduling of servers and power generators and renewable energy sources, can effectively reduce datacenter energy costs. 7. To build a cloud management system to enable deployment and evaluation of our algorithms and designs in real world cloud platforms as well as large cloud testbeds.