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.
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
11月16日
2016
11月18日
2016
初稿截稿日期
终稿截稿日期
注册截止日期
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