Abbrevation
ICBDC--Ei Compendex and Scopus
City
Shenzhen
Country
China
Deadline Paper
Start Date
End Date
Abstract

ICBDC 2018 will provide an insight into the unique world stemming from the interaction between the fields of Big Data and Computing&#046; ICBDC 2018 will also provide an international technical forum for experts from industry and academia to exchange ideas and present results of on&#8211;going research in most state&#8211;of&#8211;the&#8211;art areas of Big Data and Computing&#046; This year, special focus will be on the challenging issues related to all the opportunities of Big Data and Computing in the era of the integration of Project Big data Science and Foundations, Bid data Applications, Big data Computing Systems, etc&#046;&#046;&#046; You are invited to submit a full paper, a proposal for a Panel/Invited Session&#046;<br>Topics of interest include, but are not limited to:<br>Algorithmic, experimental, prototyping and implementation<br>Big Data Algorithms, Applications and Services<br>Big Data Mining and Analytics<br>Big Data Processing and Querying<br>Cloud and Big Data for Internet of Things (IoT)<br>Computing, scheduling and resource management for sustainability<br>Government and Industrial Experiences for Cloud and Big Data<br>Green Computing and Networking Technologies for Cloud and Big Data<br>Green data centers / environmental&#8211;friendly perspectivesGreen data centers / environmental&#8211;friendly perspectives<br>Software Engineering for Cloud Computing and Big Data<br>Software, hardware and algorithm co&#8211;design, high&#8211;performance computing<br>Software and tools for big data management<br>Cloud Computing Solutions and Platforms<br>Privacy and Security for Cloud and Big Data<br>Big Data Visualization<br>Big Data Education<br>Data quality issues: such as validation, metrics, optimizations and consistency<br>Data&#8211;driven innovation, computational modelling and data integration<br>Data intensive computing theorems and technologies<br>Virtualization Technologies, Cloud Data Management and Storage, Cloud Resource Management and QoS<br>