ICCBDA 2019
Second International Conference on Cloud, Big Data and Analytics 2019
Important Dates
About ICCBDA 2019
The International Conference on Cloud, Big Data and Analytics 2019 (ICCBDA 2019), aims to bring researchers, scientists, engineers and research scholar together to exchange and share their experiences, new ideas and the research outcome of all possible aspects of Cloud, Big Data and Analytics areas. So, considering the recent advancements and others the conference tiled has been selected.
Topics
Cloud computing, Big data technologies, Bigdatacloud, Data mining and cloud computing, Data analytics for big data, Big data analytics and tools., The impact of new technologies on management integration of data and processes big data analytics business process management supply chain processes erp, Big data and technological computing, Bim in the cloud, Ehealth & big data, Ehealth and big data, Mining big data (extracting knowledge from data), Big data in railway, Cloud, The theme of pasc18 is fast and big data, fast and big computation, Big data analysis, Googlecloud, Grid and cloud computing, Cloud, distributed, and parallel database, Ai in big data, Cloud security, Big data management and analytics, Big data reasoning with rules, Mobile cloud computing and iot pricing and billing models, Cloudlet based computing, Mobile cloud computing and iot networking and communication considerations, Cloud computing and iot, Cloud computation, Management and orchestration of cloud computations, Big dataCall for Papers
ICCBDA 2019 will be the most comprehensive conference focused on the various aspects of advances in Cloud, Big Data and Analytics related areas. This Conference provides a chance for academic and industry professionals to discuss recent progress in the area of Cloud, Big Data and Technology. Furthermore, we expect that the conference and its publications will be a trigger for further related research and technology improvements in this important subject.
The goal of this conference is to bring together the researchers from academia and industry as well as practitioners to share ideas, problems and solutions relating to the multifaceted aspects of Cloud, Big Data and Analytics.
To provide opportunities for the different research area delegates to exchange new ideas and application experiences face to face, to establish business ⁄ research relations to find global partners for future collaboration in the areas of Cloud, Big Data and Analytics. Papers describing new methods or technologies, advanced prototypes, systems, tools and techniques and general survey papers indicating future directions are also encouraged. Papers describing original work are invited in any of the areas listed below. Accepted papers, presented at the conference by one of the authors, will be published in the Proceedings of ICCBDA 2019, with an ISBN. Acceptance will be based on quality, relevance and originality. Both full research reports and work-in-progress reports are welcome. There will be both oral and virtual sessions.
The papers will be made to appear in a book to be published by ASDF HQ, India in EDLIB (www.edlib.net). All the published paper will be indexed by Google Scholar and various others search engines.
- Cloud Migration
- Infrastructure, Platform, Application, Business, Social and Mobile Cloud
- Storage, Data and Analytics Clouds
- Self-Service Cloud Portal, Dashboard and Analytics
- Analytics Application
- Scientific Computing and Data Management
- Big Data Management and Analytics
- Storage, Data and Analytics Clouds
- Security, privacy and Compliance Management in Clouds
- Cloud Configuration, Performance and Capacity Management
- High performance cloud computing
- Green cloud computing
- Mobile driven cloud computing
- IoT and Cloud
- Innovative Cloud infrastructure for Big Data
- Green, Energy - Efficient models and sustainability issues for Big Data
- Resource scheduling, SLA, Fault tolerance and reliability for Big Data
- Data Models for Big Data Analytics
- Cloud Security
- Data Privacy
- Cloud Privacy
- Security as a service
- Machine Learning techniques for Big Data
- Index Structures for Big Data Analytics
- Interaction Design for Exploratory Analytics
- Large-scale recommendation systems and graph analysis
- Big Data Security, Privacy and Services
- Big Data & Cloud for Enterprise, Government and Society
- Case studies of big data value creation
- Big data & cloud for improving resilient infrastructures
- Big data & cloud research and project experience in bio-medical and health care application services
- Big data & cloud based energy and environment control, evaluation and management
- Big data & cloud research applications and service systems in hospitality, tourism, transportation and urban planning
- Autonomic business process and workflow management in clouds
- Big Data & cloud technologies for business applications in vertical markets - like Telecom, Mobile computing, Sensor networks, Social networking and Smart cities.
- Multimedia applications in mobile cloud environments
- Big data & cloud in food and agriculture
- Big Data applications on heterogeneous architectures such as healthcare, surveillance and sensing, e-commerce and etc
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