Conference Information
CCBD 2016 : International Conference on Cloud Computing and Big Data
http://www.cis.umac.mo/ccbd2016/
Submission Date:
2016-08-20 Extended
Notification Date:
2016-08-31
Conference Date:
2016-11-16
Location:
Macau, China
Years:
7
Viewed: 6068   Tracked: 13   Attend: 3

Conference Location
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Call For Papers
INTRODUCTION

International Conference on Cloud Computing and Big Data (CCBD) is a cross-area international forum on cloud computing and big data. CCBD2016 will be held in Macau with the aim of bringing together researchers, developers, users, and practitioners interested in cloud computing and big data.

The 7th International Conference on Cloud Computing and Big Data (CCBD2016) is co-sponsored by University of Macau and the Chinese Institute of Electronics. The CCBD2016 will be held at University of Macau on November 16 -18, 2016. During the conference, participants will also enjoy the privilege of attending the 63rd Macau Grand Prix to be held from 17 Nov to 20 Nov. 2016.

THEMES

Big Data, Analytics, Cloud Computing, Mobile/IoT, Social Networking and their convergence

In recent years, Big Data Analytics, Cloud Computing, Mobile/IoT, and their convergence have emerged as major drivers for enterprise transformation and innovation in both business and IT worlds. Enterprises’ competitiveness is increasingly determined by their abilities to leverage these technologies. IDC describes the platform that supports the convergence of these technologies as the third platform. It is accessed from mobile devices, utilizes big data, and is cloud based. IoT (Internet of Things), Mobile and Social network are major sources of Big Data. Cloud Computing provides a scalable services consumption model and cost-effective delivery platform. Big data analytics offers the promise of providing valuable insight for science, engineering, medicine, finance, business, government etc. Successful application of these technology helps enterprises understand customers’ needs and sentiment, make right decisions in time, improve process efficiency, allow them to mass-customize their services, and improve products/services to excel in the fast changing competitive landscape.

SCOPE AND INTERESTS

CCBD2016 is to bring together computer scientists, industrial engineers, and researchers to discuss and exchange experimental and theoretical results, novel designs, work-in-progress, experience, case studies, and trend-setting ideas in the areas of cloud computing and big data. Topics of interest of the CCBD2016 conference include, but are not limited to:

Architecture & Foundation of Cloud Computing and Big Data

    Infrastructure as a Service, Green Cloud Computing, Monitoring, Management and Maintenance of Cloud Platform
    Service-Oriented Architectures in cloud computing
    Software Defined Storage, Software Defined Network, and Software Defined Data Center
    Performance Improvement and Hardware Optimizations for Cloud Computing and Big Data
    Integrated Platform for Cloud Computing, Big Data, IoT and Social Networks
    Sensors, Devices and Embedded Systems Design in Cloud Computing
    Energy-efficient Cloud Computing for Big Data
    Open Platforms and System Architectures to Support Big Data
    Novel Theoretical and Computational Models for Big Data
    Best Practices for Migration to Cloud

Software Engineering, Tools & Services for Cloud Computing and Big Data

    Platform as a Service, DevOps, and API Management
    Software Engineering in Cloud Computing
    Job Scheduling, Load Balancing, Performance Evaluation & Improvement in Cloud Computing
    Novel Data Model and Databases for Emerging Hardware to Support Big Data
    Information Integration and Heterogeneous and Multi-structured Data Integration
    Novel Programming Model, Quality Measurement, Evaluation and Management
    Information lifecycle management for Cloud Computing and Big Data
    Business Process and Workflow Management in Cloud Services
    Innovative Cloud Applications, Novel Theoretical and Computational Models for Big Data

Knowledge Discovery & Data Engineering in Cloud Computing and Big Data

    Big Data Information Life Cycle Management
    Social Web Search and Mining
    Algorithms for Big Data Search
    Big Data Search Architectures, Scalability and Efficiency
    Big Data Analytic Algorithms, Knowledge Discovery & Data Engineering
    Visualization Analytics for Big Data
    Computational Modeling and Data Integration
    Large Scale Distributed, Knowledge Management
    Large-scale Recommendation Systems and Social Media Systems
    Cloud/Grid/Stream Data Mining - Big Velocity Data
    Multimedia and Multi-Structured Data - Big Variety Data
    Internet-Based Knowledge Engineering in Cloud Computing

Security, Privacy, Trust & Quality of Cloud Computing and Big Data

    Hardware/Software Reliability, Verification and Testing in Cloud Computing and Big Data
    Trusted Computing & Autonomic Computing in Cloud Computing and Big Data
    Fault Tolerance in Cloud Computing and Big Data
    Security and Privacy in Cloud Computing and Big Data
    Threat Detection using Big Data Analytics
    Privacy Preserving Big Data Collection/Analytics
    HCI Challenges for Big Data Security & Privacy
    Protection, Integrity and Privacy Standards and Policies for Big data

Business Models and Applications for Cloud Computing and Big Data

    Innovative Business Models and Applications of Cloud Computing and Big Data in Different Domains
    API Management, API Ecosystem, and API Economy
    Industrial IoT and Analytics
Last updated by Dou Sun in 2016-07-23
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