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CloudComp 2023: International Conference on Cloud Computing

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CloudComp
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截稿日期:
2023-05-20
通知日期:
2023-07-30
会议日期:
2023-10-25
会议地点:
Hong Kong, China
届数:
12
浏览: 23441   关注: 5   参加: 0

会伴指数 (CP-I)

47.6 / 100
全站第 2,125 名 / 共 5,682 个会议 · 前 38%

系统与体系结构 第 188 / 341

学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
69
社区关注 (10%)
26
资料公开度 (15%)
25

用到的输入: 有据可查的届次：12 · 在会伴关注它的研究者：5 人 · 过去 24 个月打开过本页的研究者：2 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 45% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-16

征稿

CloudComp 2023 (International Conference on Cloud Computing) is an academic conference held in Hong Kong, China on 2023-10-25. The paper submission deadline is 2023-05-20. Acceptance notifications are sent on 2023-07-30.

As a novel computing paradigm, cloud computing has changed the world tremendously in the past two decades. It offers scalable computing and storage resources as services to support various applications cost-effectively and flexibly. It has also promoted the proliferation of big data analytics and deep learning in the last decade. Currently, cloud computing is continuing to power and drive technological development and advances in various areas such as industrial manufacturing, medical healthcare, intelligent transportation, smart city, e-government, e-commerce, and e-finance, etc. It is also the backbone for emerging edge/fog computing technologies and Internet of Things (IoT) applications, which constitute a rapidly-evolving ecosystem that profoundly changes the world’s IT landscape and people’s lives. CloudComp 2023 aims to bring together researchers and industry developers to discuss and share their recent viewpoints and contributions to cloud computing, It aims to present recent theories, experiences, and results obtained in a wide area relevant to computing, giving researchers and industrial practitioners an opportunity to gain in-depth insight on the current and futuristic cloud computing technologies We welcome contributions from the following fields: Cloud Architecture X as a Service Paradigms Cloud Computing Architecture Public/Private/Hybrid Cloud Edge Computing / Fog Computing IoT/Sensor Clouds Simulation and Virtualization in Cloud Computing Cloud Data Management Architecture Cloud Management Cloud Resource Scheduling and Computation Offloading Edge Resource Management and Optimization Quality of Service (QoS) in Cloud Computing Cost Models and Optimization in Cloud Computing Privacy, Security and Trust Issues in Cloud Computing Heterogeneity in Cloud Computing Energy-saving Issue in Cloud Computing Cloud Data Management Cloud Applications Cloud Computing for Big Data Processing High Performance Computing based on Cloud Cloud Supported Smart X Technologies Distributed and Parallel Query Processing 5G and Cloud Computing Blockchain Techniques for Cloud Computing Edge Computing Applications
由 Dou Sun 最后更新于

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