The workshop of Mobile Big Data 2015

in conjunction with Mobihoc 2015 

Hangzhou, China, June 21, 2015

Technical co-chairs: 
Qun Li, The College of William & Mary
Dong Xuan, The Ohio State University

Technical program committee:
Paul Y. Cao (Ashland University)
Sriram Chellappan (Missouri University of Science and Technology)
Biao Chen (University of Macao)
Amir Houmansadr, (University of Massachusetts at Amherst)
Mo Li (Nanyang Technological University, Singapore)
Zhenhui (Jessie) Li (Pennsylvania State University)
Yunxin Liu (Microsoft Research)
Thomas Moscibroda, (Microsoft Research)
Mirco Musolesi (University of Birmingham)
Arnab Nandi  (The Ohio-State University)
Razvan Stanica (INSA Lyon, France)
Nan Zhang (George Washington University)


The workshop of Mobidata aims to foster the exchange of new ideas in the synergy of mobile computing and big data research. Mobile big data is generally concerned with the big data generated from mobile computing devices, and using the mobile computing platforms for big data processing. The data generated by over billions of mobile devices with respect to social media data, physical analytics, user behaviors, are in large volume, velocity, variety, value, and veracity. In addition, mobile devices provide a convenient tool to store, access, process, manage, and present the data. The mobile devices leveraging the power of the cloud and other more powerful computing platforms will make the big data applications more pertinent to our daily life and more convenient to use. 

We are interested in work-in-progress, visionary papers, foundational papers, experimental and system-related papers. We are particularly looking for papers that introduce new directions of research, non-traditional approaches to existing systems and problems, and controversial ideas. Papers should describe original, previously unpublished, and not currently under review by another conference, workshop, or journal. Topics of interest include, but are not limited to: 

-- Novel application, environments, and architectures supporting mobile big data
-- Operating system and distributed system support for mobile big data computing 
-- Foundational and fundamental problems in mobile big data 
-- Theoretical foundations for mobile big data analysis
-- Big data analysis for mobile physical analytics in wearable computing
-- Big data for internet of things (sensors, controllers, and RFID)
-- HCI issues related to mobile big data
-- Social science perspective of mobile big data
-- Security and privacy for mobile big data computing
-- Management, configuration, and deployment of systems supporting mobile big data
-- Mobile social networks
-- Mobile cloud computing
-- Large scale mobile crowdsourcing, participatory sensing

Please consult the program chairs if you are uncertain whether your paper falls within the theme of this workshop.


9:00-9:45 Invited speaker

Session: Social networks, sensor networks, and smartphone systems

Controlling the Spreads of Infectious Disease and Scare via Utilizing Location and Social Networking Information
Wei Cheng (Virginia Commonwealth University, USA); Feng Chen (National University of Defense Technology, USA); Xiuzhen Cheng (George Washington Univ, USA)

Data Preservation in Data-Intensive Sensor Networks With Spatial Correlation
Nathaniel Crary (Azusa Pacific University, USA); Bin Tang (California State University Dominguez Hills, USA); Setu Taase (CSUDH, USA)

A Measurement-based Study on Application Popularity in Android and iOS App Stores
Wei Liu, Ge Zhang, Jun Chen, Yuze Zou and Wenchao Ding (Huazhong University of Science and Technology, P.R. China)

Session: Mobile computing and data collection

SH-CRAN: Hierarchical Framework to Support Mobile Big Data Computing in a Secure Manner
Qiang Liu (National University of Defense Technology, P.R. China); Edith C.-H. Ngai (Uppsala University & Division of Computer Systems, Sweden); Xiping Hu (The University of British Colombia, Canada); Zhengguo Sheng (University of Sussex, United Kingdom); Victor CM Leung (The University of British Columbia, Canada); Jianping Yin (School of Computer Science, National University of Defense Techonoly, P.R. China)

Mobile Data Collection Frameworks: A Survey
Paul Y. Cao (Ashland University, USA); Gang Li (the Ohio State University, USA); Guoxing Chen (The Ohio State University, USA); Biao Chen (University of Macau, Macao); Dong Xuan (The Ohio State University, USA)

Session: Cloud and fog computing

A Mobile Cloud Computing Middleware for Low Latency Offloading of Big Data
Bo Yin, Wenlong Shen, Lin X. Cai and Yu Cheng (Illinois Institute of Technology, USA)

A survey of research in fog computing: concepts, applications, and issues
Shanhe Yi, Cheng Li, and Qun Li (The College of William and Mary)

Distributed Analytics and Edge Intelligence: Pervasive Health Monitoring at the Era of Fog Computing
Cao Yu (The University of Massachusetts Lowell, USA); Songqing Chen (George Mason University, USA); Peng Hou (The University of Massachusetts Lowell, USA); Donald D Buhl-Brown (Austin Peay State University, USA)

Session: Other applications: 

A Mobile Retail POS: Design and Implementation
Zizhong Wang (Virginia Wesleyan College, USA)

Research on 3D Localization Algorithm of Wireless Sensor Networks in Underground Coal Mine
Feng Wang and Cong Wang (Tai Yuan University of Technology, P.R. China); Zizhong Wang (Virginia Wesleyan College, USA); Xueying Zhang and Chao Shang (Tai Yuan University of Technology, P.R. China)

Crime Risk Evaluation in Individual's Local Community
Yunkai Liu (Gannon University, USA)

Application of multiple orthogonal window spectrum estimation in speaker recognition
Jing Bai, Yiran Zhang and Cong Yin (Taiyuan University of Technology, P.R. China)

An Optimal Dynamic Frame Slot-Segment Algorithm for EPCglobal Class-1 Gen-2 RFID Protocol
Litian Duan (Taiyuan University of Technology, P.R. China); Zizhong Wang (Virginia Wesleyan College, USA); Fu Duan (Taiyuan University of Technology, P.R. China)

3:30-4:30 Panel Discussion


Papers (in pdf format) should be sent to the program chairs. All papers will be reviewed for technical merit. Submission should not exceed 6 U.S. Letter pages including all references, figures, and tables. Papers should use the standard ACM Template, available at

Link to submission page on EDAS:

Important Dates:

Paper submission due: April 1, 2015 (Deadline extended!!!)
Notification of acceptance: April 8, 2015
Camera ready version due: April 15, 2015