活动简介

As cloud computing turning computing and software into commodity services, everything as a service in other words, it leads to not only a technology revolution but also a business revolution. Insights and impacts of various types of services (infrastructure as a service, platform as a service, software as a service, business process as a service) have to be re-examined.

2016 International Congress on Big Data (BigData Congress 2016) aims to provide an international forum that formally explores various business insights of all kinds of value-added "services." Big Data is a key enabler of exploring business insights and economics of services.

BigData Congress 2016's major topics include but not limited to: Big Data Architecture, Big Data Modeling, Big Data As A Service, Big Data for Vertical Industries (Government, Healthcare, etc.), Big Data Analytics, Big Data Toolkits, Big Data Open Platforms, Economic Analysis, Big Data for Enterprise Transformation, Big Data in Business Performance Management, Big Data for Business Model Innovations and Analytics, Big Data in Enterprise Management Models and Practices, Big Data in Government Management Models and Practices, and Big Data in Smart Planet Solutions.

The 6 co-located conferences are sponsored by IEEE Computer Society's Technical Committee on Services Computing (TC-SVC) and Services Society.

征稿信息

征稿范围

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

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重要日期
  • 会议日期

    06月27日

    2016

    07月02日

    2016

  • 07月02日 2016

    注册截止日期

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