BDMS 2015 - Second International workshop on Big Data Management and Service (BDMS 2015)

Website http://ada.suda.edu.cn/bdms2015.html | Edit Freely

Category BDMS 2015

Deadline: December 01, 2014 | Date: April 20, 2015-April 23, 2015

Venue/Country: Hanoi, Vietnam

Updated: 2014-11-22 00:22:58 (GMT+9)

Call For Papers - CFP

Description

The proliferation of new technologies such as Internet of things, social networks and cloud computing produces datasets whose volume, velocity, and variability is beyond the ability of commonly-used software tools. Efficient processing of big data creates notable research challenges and opportunities for traditional databases and infrastructure. On the other hand, computing and software are turned into commodity services by cloud computing, so it is necessary to examine Big Data as a Service (BDaaS) from both technology and business aspects.

This BDMS 2015 workshop intends to bring together researchers, practitioners, and developers from academia and industry to discuss cutting edge research on big data management and service, such that the interactions among the experts of these areas can be promoted and new interdisciplinary technologies can be developed. The scope of the workshop includes big data management techniques such as big data modeling, analytics, and toolkits, as well as techniques and case studies for providing big data as a service.

This BDMS 2015 workshop intends to bring together researchers, practitioners, and developers from academia and industry to discuss cutting edge research on big data management and service, such that the interactions among the experts of these areas can be promoted and new interdisciplinary technologies can be developed. The scope of the workshop includes big data management techniques such as big data modeling, analytics, and toolkits, as well as techniques and case studies for providing big data as a service.

Topic of Interest

The topics of interest include, but are not limited to the following:

Challenges for Big Data Management and Service

Big Data Theory

Big Data Architecture

Big Data Modeling

Big Data Analytics

Big Data Mining

Big Data Business

Big Data Toolkits

Big Data Visualization

Big Data Open Platforms

Big Data Applications (Internet of Things, Social Networks, etc.)

Big Data Sharing and Privacy Preserving

Security, Trust and Risk in Big Data

Big Data as a Service (BDaaS)

Delivery, Deployment, and Maintenance of BDaaS

Engineering Practices and Case Studies of BDaaS