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CCBD2015 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. 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.

征稿信息

重要日期

2015-05-29
摘要截稿日期
2015-06-15
初稿截稿日期

征稿范围

---- Architecture & Foundation of Cloud Computing and Big Data Infrastructure as a Service, Green Cloud Computing, Monitoring, Management and Maintenance of Cloud Platform 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 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, 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 ---- 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 Information Life Cycle Management Big Data Analytic Algorithms, Knowledge Discovery & Data Engineering Visualization Analytics for Big Data Large Scale Distributed, Knowledge Management. --- 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 -----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 Publication & Submission Manuscripts need to be prepared according to the IEEE CS forma For regular papers, the length should be 6-8 pages. For short papers, the length should be 4-6 pages. The conference proceedings will be published by IEEE_CPS, Conference Publishing Services (EI, Engineering Index) and the Chinese Journal of Electronics (CJE, indexed by SCI).
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重要日期
  • 会议日期

    11月04日

    2015

    11月06日

    2015

  • 05月29日 2015

    摘要截稿日期

  • 06月15日 2015

    初稿截稿日期

  • 11月06日 2015

    注册截止日期

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