ICCBD 2018

Welcome

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2018 International Conference on Computing and Big Data (ICCBD 2018) will be held in College of Charleston, South Carolina, USA during September 08-10, 2018.

Call for Papers


CFP Flyer

Conference Topics

The ICCBD 2018 topics include but are not limited to the following. Authors are encouraged to submit unpublished original research works in one of the following topics.


Information Security & Computer Forensics
Cloud Computing and Big Data
Green Computing
Signal & Image Processing
Artificial Intelligence (includes pattern recognition, evolutionary computation, fuzzy logic, etc.)
Human Computer Interaction
Mobile Technologies & Mobile Web Services
Remote Sensing
IP mobility protocols
Communications software and services
Ubiquitous computing
Internet applications
Virtual environments and social networks
ICT applications in education & training, including eLearning,
Distance Education & Innovative Educational Platforms
E-government, e-governance & e-skills for development
Wireless Sensor Networks
ICT for creative industries & technology innovations
High Performance Data Analysis
Advanced Multi-core Software Technologies
Case Studies and Benchmarking of Applications
Mapping and Scheduling of Parallel and Real-Time Applications
Computing Technologies for Challenging Form Factors
ASIC and FPGA Advances
Open System Architectures
Data Intensive Computing
Interactive and Real-Time Supercomputing
Graph Analytics and Network Science
Fault-Tolerant Computing
Embedded Cloud Computing
General Purpose GPU Computing
Advanced Processor Architectures
Secure Computing and Anti-Tamper Technologies
Cloud architecture
Cloud OS, middleware, and toolkits
Storage architectures
Virtualization techniques
Resource provision, monitoring, and scheduling
Privacy and access control for cloud computing
Performance evaluation and modeling measurement for cloud computing
Programming models for building cloud applications
Networking in cloud computing
Security of services
Energy efficient hardware and software solutions
High availability and reliability
Large scale cloud applications, including Internet/web computing and data mining
Volunteer computing
Grid computing
Knowledge Engineering
Web Mining
NoSQL
Management Information Systems
Medical Informatics
Knowledge based web systems
Big Data
Big Data Science and Foundations







Big Data Infrastructure
Big Data Management
Big Data Search and Mining
Big Data Security and Privacy
Bid Data Applications
Data Engineering
Data Mining
Data Warehousing
Novel Theoretical Models for Big Data
New Computational Models for Big Data
Data and Information Quality for Big Data
New Data Standards
Complex Big Data Applications in Science, Engineering, Medicine, Healthcare, Finance, Business, Law, Education, Transportation, Retailing, Telecommunication
Big Data Analytics in Small Business Enterprises (SMEs)
Big Data Analytics in Government, Public Sector and Society in General
Real-life Case Studies of Value Creation through Big Data Analytics
Big Data as a Service
Big Data Industry Standards
Experiences with Big Data Project Deployments
Novel Theoretical Models for Big Data
Cloud/Grid/Stream Computing for Big Data
High Performance/Parallel Computing Platforms for Big Data
Autonomic Computing and Cyber-infrastructure, System Architectures, Design and Deployment
Energy-efficient Computing for Big Data
Programming Models and Environments for Cluster, Cloud, and Grid Computing to Support Big Data
Software Techniques and Architectures in Cloud/Grid/Stream Computing
Big Data Open Platforms
New Programming Models for Big Data beyond Hadoop/MapReduce, STORM
Software Systems to Support Big Data Computing
Search and Mining of variety of data including scientific and engineering, social, sensor/IoT/IoE, and multimedia data
Algorithms and Systems for Big Data Search
Distributed, and Peer-to-peer Search
Big Data Search Architectures, Scalability and Efficiency
Data Acquisition, Integration, Cleaning, and Best Practices
Visualization Analytics for Big Data
Computational Modeling and Data Integration
Large-scale Recommendation Systems and Social Media Systems
Cloud/Grid/Stream Data Mining- Big Velocity Data
Link and Graph Mining
Semantic-based Data Mining and Data Pre-processing
Mobility and Big Data
Multimedia and Multi-structured Data- Big Variety Data
Social Web Search and Mining
Web Search
Algorithms and Systems for Big Data Search
Distributed, and Peer-to-peer Search
Big Data Search Architectures, Scalability and Efficiency
Data Acquisition, Integration, Cleaning, and Best Practices
Visualization Analytics for Big Data