7th International Congress on Big Data, SeattleWA, Vereinigte Staaten

Abbrevation

BigData Congress

Link

http://www.bigdatacongress.org/2018/

City

SeattleWA

Country

United States

Deadline Paper

2018-02-28

Start Date

2018-06-25

End Date

2018-06-30

Abstract

BigData Congress 2018 will be co–located with the following service–oriented sister conferences: the 11th 2018 International Conference on Cloud Computing (CLOUD 2018), the 15th 2018 International Conference on Services Computing (SCC 2018), the 25th International Conference on Web Services (ICWS 2018), the 7th International Conference on Mobile Services (AIMS 2018), and the 14th World Congress on Services (SERVICES 2018). These co–located theme topic conferences will all revolve around "services," while each focusing on exploring different aspects (cloud–based services, web–based services, business services, mobile services, vertical industry services, and Big Data services). The technical program of BigData Congress 2018 will consist of a set of regular tracks and a new set of special tracks. The regular tracks are: regular research track, regular applications track, and short paper track. These tracks are similar to previous BigData Congress submission tracks. The regular research track will emphasize both theoretical and experimental research contributions. The regular applications track will pay special attention to insights derived from real world big data applications, particularly with respect to experience reports and evaluation results. The short paper track will consider concise papers for timely dissemination of new ideas and exploratory results. The special tracks will significantly expand the scope of BigData Congress to include innovative contributions that cover the entire lifecycle of big data research: (1) vision papers to point out emerging challenges, (2) data sets and benchmarks (summarized by short papers) that enable innovative big data research, (3) technical papers that describe significant research output, (4) applications and experience papers that apply and evaluate research methods and tools, and (5) survey papers that organize and summarize important research results and resources. Accordingly, these broadly defined contributions will be evaluated by PC members with special interest and expertise in each phase of the research lifecycle: vision papers, research contributions, applications and experiences, and enabling resources that include data sets, benchmarks, and surveys. The two special tracks included for BigData Congress 2018 are: Real–Time Big Data Analytics, and Big Data/Smart Cities. We also define the technical scope of big data research broadly from the 5V perspective. In addition to the traditional definition of big volume and high velocity, we also encourage submissions that describe techniques and tools for handling big variety and high veracity. Of special interest are submissions that start from big data containing big noise, and achieve significantly improved value of output data. Technical topics of interest include but are not limited to the following: Big Data Models and Algorithms Foundational Models for Big Data Algorithms and Programming Techniques for Big Data Processing Big Data Analytics and Metrics Big Data Architectures Cloud Computing Techniques for Big Data Big Data as a Service Big Data Open Platforms Big Data Management Big Data Persistence and Preservation Big Data Quality and Provenance Control Big Data Storage and Retrieval Big Data Security and Privacy Big Data System Security and Integrity Big Data Information Security Privacy Preserving Big Data Analytics Usable Security and Privacy for Big Data Quality of Big Data Services Big Data Service Performance Evaluation Big Data Service Reliability and Availability Real–Time Big Data Services Big Data Search, Mining, and Visualization Algorithms and Systems for Big Data Search Distributed, and Peer–to–peer Search Machine Learning based on Big Data Visualization Analytics for Big Data Big Data Applications Big Data for Enterprise, Government, and Society Case Studies of Big Data Value Creation Big Data for Science and Engineering Research Enabling Resources for Big Data Research Big Data Sets Big Data Application Benchmarks Survey of big data research papers and/or big data sets Special Track on Real–Time Big Data Analytics Techniques and Algorithms for Real–Time Big Data Analytics Applications and Evaluation of Real–Time Big Data Systems Special Track on Big Data/Smart Cities Big Data for Improving Resilient Infrastructures Big Data Applications such as Healthcare and Transportation