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CBD 2026: IEEE International Conference on Advanced Cloud and Big Data

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CBD
투고 마감일:
2026-07-30 5일 남음
통보일:
2026-08-30
개최일:
2026-11-21
개최지:
Kunming, China
개최 횟수:
조회: 40496   팔로우: 22   참가: 16

논문 모집

CBD 2026 (IEEE International Conference on Advanced Cloud and Big Data) is an academic conference held in Kunming, China on 2026-11-21. The paper submission deadline is 2026-07-30. Acceptance notifications are sent on 2026-08-30.

Scope of Conference The International Conference on Advanced Cloud and Big Data (CBD) provides a forum for both academics and practitioners working on cloud computing and big data technologies to explore new ideas, share their experiences and leverage each other’s perspectives. Besides the latest research achievements, this conference also covers cloud/big data industry practices and their broad applications, and gives all participants a chance to identify the new/emerging “hot” trends in these areas. We solicit original papers on a wide range of cloud computing and big data topics that can be divided into three tracks but are not limited to: Research Track Cloud Security and Privacy Cloud-Native Theories and Algorithms Cloud Resource Management Multi/Hybrid/Inter Cloud Big Data Processing/Mining/Analytics Big Data Availability and Reliability Big Data Protection and Privacy Cloud Data Center Networking Edge Computing Architecture and Algorithm Communication and Networking for Big Data Energy-Efficient Computing for Big Data Cloud and Big Data Intelligence Industry Track Cloud Computing Solutions Cloud Computing Specifications/Standards Big Data Solutions Big Data Specifications/Standards Cloud and Big Data in Industry Practices Application Track Cloud Applications and Services Big Data Applications and Services AI for Cloud and Big Data Blockchain for Cloud and Big Data IoT, Smart City and Healthcare
최종 수정: Dou Sun ()

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관련 저널

CCF정식 명칭영향력 지수출판사ISSN
IEEE Cloud Computing MagazineIEEE2325-6095
Journal of Big Data6.4Springer2196-1115
Big Data Research4.2Elsevier2214-5796
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CFuture Generation Computer Systems6.1Elsevier0167-739X
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