http://cse.stfx.ca/~CPSCom2018/ss5.php

Designing a big data system with high performance, incremental scalability and fault tolerance is very important. It also poses great challenges and opportunities for data management and analytics. Additionally, the system scale employed to manage big data grows with the increase of the data volume. Therefore, many other system features like power efficiency and total ownership costs are very important for big data systems. Furthermore, for a specific application scenario such as graph processing, designing a big data system with emerging hardware such as flash memory and GPU will offer useful insights into new methods of the application domain and even further. 

The purpose of this special session on Big Data System and Green Computing is to provide a forum for researchers and scientists from diverse backgrounds to exchange and discuss their state-of-theart research findings on the latest development, up-to-date issues, and challenges in the field of big data systems and green computing. 

This is a special session of the 11th IEEE International Conference on Cyber, Physical and Social Computing (http://cse.stfx.ca/~CPSCom2018). Please submit your paper via the submission site (https://edas.info/newPaper.php?c=24611) and select the special session of “Big Data Systems and Green Computing” marked with “CPSComBG”. 

Accepted conference papers will be published by IEEE (IEEE-DL and EI indexed). Selected papers, after further extensions and revisions, will be recommended to journal special issues. More details at the conference website: http://cse.stfx.ca/~CPSCom2018/si.php 

Potential topics include but are not limited to:
– Design and implementation of big data systems 
– Big data platform 
– Data center architecture
– Data storage and management 
– Fault tolerance of big data systems 
– Data deduplication
– Big Data Analytics 
– Innovative methods for big data analytics 
– Performance of big data systems
– Benchmarking big data systems 
– Security and privacy of big data system 
– QoS of big data system 
– Reliability of big data system
– Power efficiency of big data system 
– Green computing 


Session Chairs: 
Yuhui Deng, Jinan University, China
Miaoqing Huang, University of Arkansas, USA 


Important Dates: 
Paper Submission Due: April 10, 2018 
Acceptance Notification Due: April 25, 2018 
Paper Registration Due: May 8, 2018 
Camera-ready Manuscript Due: May 15, 2018