2024 IEEE 9th International Conference on Smart Cloud (SmartCloud)

活动简介

As a novel technology, cloud computing implementations have been booming in recent years. Align with the development of data mining and big data, cloud computing has been an efficient approach for delivering intelligent services and forming advanced distributed systems. Empowering the existing infrastructure by using cloud computing techniques has been considered a dramatical significant issue for both acadamia and industry. Therefore, making cloud computing “smart” has a giant demand in multiple fields, from tele-health to e-learning, from vehicular systems to mobile applications.

IEEE SmartCloud 2024 aims to collect recent academic achievements in novel techniques, developments, empirical studies, and new developments in cloud computing. Innovative technical applications in clouds are highly encouraged. The objective of IEEE SmartCloud 2024 is to provide a forum for scientists, engineers, and researchers to discuss and exchange their new ideas, novel results, work in progress and experience on all aspects of smart computing and cloud computing.

IEEE SmartCloud 2024 will be held from May 10-12, New York City, USA

组委会

General Chairs

Gerard Memmi, Telecom Paris, France

Jun Wu, Shanghai Jiao Tong University, China

Meikang Qiu, Augusta University, USA

Program Chairs

Zhong Li, Donghua University, China

Baijian Yang, Purdue University, USA

Jian Xiong, Shanghai Jiao Tong University, China

Publicity Chairs

Peng Li, Aizu Univeristy, Japan

Keke Gai, Beijing Institute of Technology, China

Suhua Tang, University of Electro-Communications, Japan

Local Chairs

Zhi Liu, Shizuoka University, Japan

Web Chair

Yunhe Feng, University of North Texas, USA

Steering Committee

Meikang Qiu (Chair), Augusta University, USA

Sun-Yuan Kung, Princeton University, USA

Ruqian Lu, Chinese Academy of Sciences | CAS·Academy of Mathematics and Systems Science, China

Barbara Carminati, University of Insubria, Italy

Technical Program Committee

Rosario Morello, University Mediterranea of Reggio Calabria, Italy

Suman Kumar, Troy University, USA

Long Fei, Google Inc. USA

Xiaofu He, Columbia University Medical Center, USA

Peng Gou, DNVGL Software, Norway

Junjie Peng, Shanghai University, China

Haikuo zhang，China Internet Network Information Center, China

Zongming Fei, University of Kentucky, USA

Guangjie Han, Beihang University, China

Celimuge Wu, University of Electro-Communications, Japan

Dean Anderso, Bank of America Merrill Lynch, USA

Younghee Park, San Jose State University, USA

Ing-Ray Chen, Virginia Tech, USA

Gang Zeng, Nagoya University, Japan

Bo Yuan, City University of New York, USA

Sang-Yoon Chang, Advanced digital sciences center, Singapore

C.L. Wang, The University of Hong Kong, China

Yu-Dong Yao, Stevens Institute of Technology, USA

Weigang Li, University of Brasilia, Brazil

K.P.N Jayasena, Sabaragamuwa University of Sri Lanka, Sri Lanka

Zehua Guo, Beijing Institute of Technology, China

Zhiqiang Lin, University of Texas at Dallas, USA

Chiu Tan, Temple University, USA

Zhong Ming, Shenzhen University, China

Jidong Ge, Nanjing University, China

Yan Liu, UT Southwestern Medical Center, USA

Zhipeng Wang, China Electronics Standardization Institute, China

Chao-Tung Yang, Tunghai University

Mark Scanlon, University College Dublin, Ireland

Yong Zhang, The University of Hong Kong, China

Yuchia Tseng, Nokia Bell Labs, France

Xinjun Mao, National University of Defense Technology, China

Hui Zhao, Henan University, China

Jian Xiong, Shanghai Jiao Tong University, China

Haibo Zhang, University of Otago, New Zealand

Shubbhi Taneja, Worcester Polytechnic Institute, USA

Gautam Srivastava, Brandon University, Canada, Canada

D. Yasser D. Al-Otaibi, King Abdulaziz University, Saudi Arabia

Phoenix (Dongfeng) Fang, California Polytechnic State University, USA

Xing Liu, Sam Houston State University, USA

Jianjun Wu, Peking University, China

Jianwen Xu, Muroran Institute of Technology, Japan

Xiong Li, University of Electronic Science and Technology of China, China

Beibei Li, Sichuan University, China

Chaofeng Zhang, Advanced Institute of Industrial Technology, Japan

Yuchen Liu, The University of North Carolina System, USA

Gaolei Li, Shanghai Jiao Tong University, China

Yuxin Qi, Nanyang Technological University, Singapore

Qianqian Pan, The University of Tokyo, Japan

Lizheng Liu, Fudan University, China

Xianjun Deng, Huazhong University of Science and Technology

Xin Liao, Hunan University, China

Jiguang Lv, Harbin Engineering University, China

Ran Zhang, Shandong University, China

Jie Lin, Xi'an Jiaotong University, China

Linqiang Ge, Columbus State University, USA

Xiangfu Song, National University of Singapore, Singapore

征稿信息

重要日期

2024-02-01

初稿截稿日期

As a novel technology, cloud computing implementations have been booming in recent years, which dramatically attract attentions from the industry, academia, and education. SmartCloud 2024 aims to collect recent academic achievements in novel techniques, developments, empirical studies, and new developments in cloud computing. The concentration of SmartCloud 2024 is enabling cloud computing to become an efficient approach for delivering intelligent services and forming advanced distributed systems, which are aligned with other updated technologies, such as data mining and big data. Empowering the existing infrastructure by using cloud computing techniques has been considered a dramatically significant issue for both academia and industry, which implies that intelligent cloud computing has a giant demand in multiple fields, from tele-health to e-learning, from vehicular systems to mobile applications. Therefore, our mission is to empower cloud computing the capability of “smart” by providing a forum for scientists, engineers, researchers, and students to discuss and exchange their new ideas, novel results, work in progress and experience on all aspects of smart computing and cloud computing.

SmartCloud 2024 aims to collect recent academic achievements in novel techniques, developments, empirical studies, and new developments in cloud computing. Innovative technical applications in clouds are highly encouraged. The objective of SmartCloud 2024 is to provide a forum for scientists, engineers, and researchers to discuss and exchange their new ideas, novel results, work in progress and experience on all aspects of smart computing and cloud computing. Topics of particular interest include, but are not limited to:

Cloud-based audio/video streaming techniques
Cloud-based real-time multimedia techniques
Green cloud computing applications and optimizations
Cyber threat intelligence
Novel mechanisms in cloud computing
Social engineering, insider threats, advance spear phishing
Security and fault tolerance for embedded or ubiquitous systems
Cloud security and privacy issues
Cloud-assisted clinical data and knowledge management
Cloud computing for Healthcare
Big data security, Database security
Sensor network security issues in mobile cloud computing
Embedded networks and sensor network optimizations
Cloud computing and networking models
Ambient intelligence and intelligent service systems in cloud systems
Analysis and evaluation of cloud-based Healthcare
Pervasive computing applications and innovations in cloud computing
QoE / QoS for D2D communication in cloud computing
WiFi-Direct, WLAN-Direct, and cellular technology for empowering cloud computing
Nature inspired algorithms for resource management in cloud computing
Channel modulation for 5G networks in cloud computing
Cloud computing for D2D communication
Intelligent control mechanism for D2D communication in cloud computing
Cyber monitoring, incident response
Digital forensics in cloud computing
Data mining techniques and data warehouses in cloud computing
Heterogeneous architecture for cloud computing
Dynamic resource sharing algorithm for cloud computing
Load balance for cloud computing