SIG on Green Computing and Data Processing
Chair | Peng Li | University of Aizu, Japan |
Vice-Chair | Lin Gu | Huazhong University of Science and Technology, China |
Vice-Chair | Yuan Wu | University of Macau, China |
Advisor | Nirwan Ansari | New Jersey Institute of Technology, USA |
Scope and Objectives
Cloud Computing offers users a flexible access to computing and data resources from Data Centers. The increasing popularity of Cloud Computing has created demands for deployment of large scale Data Centers for various purposes such as economy, manageability, and operational efficiency. As these large scale Data Centers will require more energy to operate, energy efficiency of Data Centers becomes a critical issue so that Data Centers can continue to scale up in order to meet the increasing demands of Cloud Computing services.
The SIG will focus on issues related to energy efficiency in Data Center Networking and Cloud Computing. Data Centers are energy-intensive facilities. In the aspect of IT equipment in Data Centers, the main contributors of energy consumption are servers, storage and networking. Minimizing energy consumption yet delivering requested quality of Cloud Computing services can be achieved by optimizing usages of servers, storage and networking. Several techniques can be considered to optimize server usages. Techniques such as server provisioning and virtualization with application awareness are some examples that can lead to lower wastages in server resource utilization and higher sharing of common infrastructure.
Besides, storage devices are another main contributor of energy consumption. Storage devices also generate significant amount of heat which requires further energy for cooling. Storage virtualization and optimal data placement in heterogeneous storage devices will be some potential solutions to improve storage access performance and increase storage utilization.
Finally, in the aspect of networking, reducing over-connectivity and increasing network utilization will be key focuses. The recent trend in I/O consolidation using solutions such as FCoE achieves reduced redundancy in storage area networks which results in a simple and efficient storage area network infrastructure. Moreover, it is also demonstrated that software defined networking approach enables energy optimization of networking in Data Centers. More efforts should be devoted in this area to further reduce the energy in Data Center Networking.
In summary, this SIG will focus on energy efficiency in Data Centers and Cloud Computing. The main sub-areas of interest include, but not limited to,
- Server energy efficiency
- Storage energy efficiency
- Networking energy efficiency
- Joint optimization among ICT, power distribution and cooling
- Data center virtualization
- Cloud computing
- Energy-efficient application optimization for green cloud computing
- Energy-efficient software architecture for green cloud computing
- Power Analytics for green data center and cloud computing
- Beylot Andre-Luc, ENSEEIHT, France
- Monique Becker, TELECOM SudParis, France
- Jianlong Cao, Hong Kong PolyTechnical University, Hong Kong
- Ana Rosa Cavalli, TELECOM & Management SudParis, France
- Periklis Chatzimisios, Alexander Technological Educational Institution of Thessaloniki, Greece
- Jiann-Liang Chen, National Taiwan University of Science and Technology
- Min Chen, HUST, China
- Dah-Ming Chiu, Chinese University of Hong Kong, Hong Kong
- Riadh Dhaou, INPT, France
- Hiroshi Esaki, The University of Tokyo, Japan
- Xing Fang, Huawei Technologies, China
- Chuan Heng Foh, Nanyang Technological University, Singapore
- Xiaoming Fu, Georg-August-University of Goettingen, Germany
- Kyle Guan, Bell Laboratories, USA
- Burak Kantarci, University of Ottawa, Canada
- Khin Mi Mi, Data Storage Institute, Singapore
- Dan Kilper, Bell Laboratories, USA
- Chin-Feng Lai, Ilan University, Taiwan
- Wenjun Liao, National Taiwan University, Taiwan
- Francis Lee, Nanyang Technological University, Singapore
- Ronnie Lee, Infocomm Development Authority, Singapore
- Tony Lee, Shanghai Jiaotong University, China
- Maozhen (Rick) Li, Brunel University, UK
- Keok Tong Ling, Infocomm Development Authority, Singapore
- Bin Liu, Tsinghua University, China
- Adam Wierman, CalTech, USA
- Michel Marot, TELECOM SudParis, France
- Jaime Lloret Mauri, Polytechnic University of Valencia, Spain
- Geyong Min, University of Bradford, UK
- Rong Pan, Cisco, USA
- Cathryn Peoples, University of Ulster, UK
- Chris Phillips, University of London, UK
- Balaji Prabhakar, Stanford University, USA
- Chunming Qiao, University at Buffalo, the State University of New York, USA
- Kok Chuan Toh, Nanyang Technological University, Singapore
- Zhili Sun, University of Surrey, UK
- Hai Le Vu, Swinburne University of Technology, Australia
- Xinbing Wang, Shanghai Jiaotong University, China
- Yonggang Wen, Nanyang Technological University, Singapore
- Di Wu, Sun-Yat-Shen University, China
- Jinsong Wu, Bell Laboratories, China
- Kun Yang, University of Essex, UK
- Yang Yang, Shanghai Research Center for Wireless Communications, China
- Jiang Zhu, Cisco, USA
- Jinzy Zhu, Huawei Technologies, China
- Xiaoqing Zhu, Cisco, USA
- Moshe Zukerman, City University of Hong Kong, Hong Kong
- Zuqing Zhu, University of Science and Technology of China, China
- Chau Yuen, Singapore University of Technology and Design, Singapore
- Joel Rodrigues, University of Beira Interior, Portugal
- RangaRao Venkatesha Prasad, Delft University of Technology, Netherlands