International Conference on Cloud Computing and Big Data (CCBD 2015)
When : 2015-11-04
Where : Taipei
Submission Deadline : 2015-06-30
Categories : Computer Science & Information Technology
International Conference on Cloud Computing and Big Data (CCBD 2015)
November 4-6, 2015
Taipei
Call For Papers
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 technologies 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.
CCBD2015 (International Conference on Cloud Computing and Big Data) is the sixth in its series and is co-sponsored by the Cloud Computing Association in Taiwan and the Chinese Institute of Electronics. It will be held on November 4th to November 6th in Taipei.
Topics
Architecture & Foundation of Cloud Computing and Big Data
Infrastructure as a Service and Green Cloud Computing
Monitoring, Management and Maintenance of Cloud Platform
Performance Improvement and Hardware Optimizations for Cloud Computing and Big Data
Integrated Platform for Cloud Computing, Big Data, IOT and Social Networks
Best Practices for Migration to Cloud
Software Engineering, Tools & Services for Cloud Computing and Big Data
Platform as a Service, DevOps, and API Management
Novel Programming Model for Cloud and Big Data
Quality Measurement, Evaluation and Management
Information lifecycle management for Cloud Computing and Big Data
Innovative Cloud Applications, Novel Theoretical and Computational Models for Big Data
Software as a Service, Big Data Analytics, Modeling and Applications
Business Models for Software as a Service
Open Data, Data as a Service and Decision as a Service
Big Data Analytic Algorithms, Knowledge Discovery & Data Engineering
Visualization Analytics for Big Data
Large Scale Distributed Knowledge Management
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
Cloud and Context for Business Process Management and Big Data Applications
Cloud-based BPM and Workflow as a Service
Context-aware recommendation process
Workflow verification and generation with context and QoS constraints
Load balancing and scheduling of cloud workflows
Cloud/Context-based process mining
Mobile/IOT and Smart City
Communication systems, network architecture and management for IoT
RFID and wireless sensor networks
Energy efficient resource management
Smart city applications in environmental, garbage and smart transportation
Smart city deployments, test-beds and field trials
Social Networking
Modeling social networks
Efficient algorithms for mining social networks
Management of social media data
Information extraction of social media
Applications of social media data mining
Software Defined Everything (SDX)
Architecture and Management of software-defined ecosystems
Software-defined networking
Software-defined storage
Software-defined cyber-physical systems
HW/SW co-design and tradeoffs
IMPORTANT DATES
