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ICCBD'' 2025: International Conference on Cloud Computing and Big Data

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ICCBD''
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Submission Date:
2025-11-07 Extended
Notification Date:
Conference Date:
2025-11-14
Location:
Luan, China
Years:
2
Viewed: 8385   Tracked: 1   Attend: 0

Conference Partner Index (CP-I)

40.2 / 100
Ranked #5,037 of 5,682 conferences · Top 89%

#305 of 337 in Data Mining & Databases #307 of 341 in Systems & Architecture

Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
30
Community attention (10%)
15
Public record completeness (15%)
35

Inputs used: Editions on record: 2 · Researchers following it here: 1 · Researchers who opened this page in the past 24 months: 2

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-16

Call For Papers

ICCBD'' 2025 (International Conference on Cloud Computing and Big Data) is an academic conference held in Luan, China on 2025-11-14. The paper submission deadline is 2025-11-07 (extended).

2025 2nd International Conference on Cloud Computing and Big Data (ICCBD 2025) is scheduled to take place on July 25-27, 2025 in Luan, China.The primary objective of the conference is to provide a platform for experts, scholars, engineers, and technicians involved in cloud computing, big data analysis, and digital economy research to exchange scientific research achievements and cutting-edge technologies. Additionally, the conference aims to facilitate an understanding of academic development trends, broaden research ideas, strengthen academic research and discussion, as well as promote the industrialization and cooperation of academic achievements. We extend a warm welcome to experts from universities, scientific researcher institutions, scholars, business circles, and other relevant personnel to contribute their expertise and participate in the conference. Through this event, participating scholars will have the opportunity to listen to insightful presentations by renowned experts and share leading research achievements and innovative ideas within the industry. Topics include but are not limited to the following areas: 1、Cloud Computing Cloud application architectures Cloud middleware frameworks Cloud economics Cloud computing and blockchain Cloud management and operations Cloud computing models Cloud optimization and automation Cloud security and privacy protection Mobile computing and edge computing Cloud application scalability and availability Cloud for enterprise business transformation Network service computing Cloud quality and performance Distributed, and peer-to-peer search Cloud solution design patterns Virtualization Distributed storage Time series analysis Cloud resource virtualization and composition Infrastructure and platform for smart computing Models and tools for smart computing Cloud computing and semantic web technologies Cloud computing architecture and systems Cloud computing technologies and applications Cloud applications performance and monitoring Parallel computing and multimedia computing Cloud computing simulations, designs, and paradigms 2、Big Data Foundational models for big data Big data privacy and security Statistical models and learning Big data systems Intelligent information processing Data classification and clustering Digital city and intelligent building 5g and networks for big data Big data archiving and preservation Memory systems Big data search Algorithms and programming techniques for big data processing Network infrastructure High-performance computing Multimedia communication technology Multi-core computing Fault tolerance and reliability Visual graphics Data analysis and data mining Big data analysis search and mining Distributed resource scheduling and optimization
Last updated by Dou Sun on

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