会议信息

CCGRID 2027: International Symposium on Cluster, Cloud and Grid Computing

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CCGRID
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截稿日期:
2026-12-08 还有 83 天
通知日期:
2027-02-10
会议日期:
2027-05-17
会议地点:
Dallas-Fort Worth, Texas, USA
届数:
CCF: C   ICORE: B   QUALIS: A1   浏览: 341183   关注: 160   参加: 43

会伴指数 (CP-I)

90.1 / 100
全站第 63 名 / 共 5,682 个会议 · 前 2%

系统与体系结构 第 17 / 341

学术认可 (35%)
100
投稿选择性 (20%)
85
会议传承 (20%)
90
社区关注 (10%)
73
资料公开度 (15%)
85

用到的输入: 收录等级：CCF C, ICORE B, QUALIS A1 · 录用率：24.1%（有记录的 5 届的均值） · 有据可查的届次：27 · 在会伴关注它的研究者：160 人 · 过去 24 个月打开过本页的研究者：25 人

公开资料里还缺: 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 100% —— 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

CCGRID 2027 (International Symposium on Cluster, Cloud and Grid Computing) is a CCF C / ICORE B / QUALIS A1 conference held in Dallas-Fort Worth, Texas, USA on 2027-05-17. The paper submission deadline is 2026-12-08. Acceptance notifications are sent on 2027-02-10.

We invite original, high-quality papers that address fundamental research and emerging challenges across a broad spectrum of distributed systems and applications. Submissions may focus on theoretical foundations, system design, implementation, or real-world deployments. We particularly encourage contributions stemming from industry efforts and academia-industry collaborations, including practical experiences, deployed systems, and applied research with tangible impact. Technical Tracks Track 1 – Hardware Systems, Architectures, and Quantum Future Compute Platforms: Innovations in computing and networking hardware, system architectures, and emerging compute paradigms. Topics include accelerators, heterogeneous systems, reconfigurable architectures, and quantum or neuromorphic computing platforms across cloud, edge, and HPC environments. This track also covers advanced networking technologies such as software-defined networking (SDN) and high-performance interconnects for distributed systems. Track 2 – Software Systems, Applications, and Programming Models: Advances in middleware, operating systems, programming frameworks, cloud-native systems, and distributed application development. Topics include serverless computing, microservices, container orchestration, and resource management and scheduling. This track also welcomes contributions on data-intensive systems, distributed storage architectures, and scalable data management frameworks. Track 3 – Sustainable Computing and Green Technologies: Energy-efficient computing, carbon-aware platforms, carbon-intelligent scheduling, and sustainable systems design across the cloud-to-edge continuum. Topics also include cost-aware computing, economic modeling, and optimization of resource usage to support sustainability goals. Track 4 – Performance Modeling, Analysis, and Optimization: Techniques for performance engineering, benchmarking, system tuning, and modeling of distributed, parallel, and cloud-based systems. Topics include optimization of scientific workflows, reproducibility-aware benchmarking methodologies, and pipeline performance engineering. Track 5 – Distributed Systems Security, Privacy, and Reliability: Innovative solutions for securing distributed infrastructures, enabling confidential computing, preserving data privacy, and enhancing cyber-resilience. Topics include trustworthy systems, intrusion detection, self-healing mechanisms, and approaches for building robust, fault-tolerant, and reliable computing platforms. Track 6 – Systems for AI/ML and Distributed Intelligence: Techniques and systems for scalable and efficient execution of AI/ML workloads across distributed platforms, addressing challenges in foundation models, Large Language Models (LLMs), model serving, and MLOps, including the compute continuum, osmotic computing, and liquid computing. Topics include edge intelligence, collaborative and federated learning, and system-level support for distributed AI.
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录用率

平均录用率: 27.5% 16 年间 (2001–2021).

年份提交数录用数录用率(%)
20212306026.1%
20152686925.7%
20142835419.1%
20132575722.2%
20123028327.5%
20111895529.1%
20102195123.3%
20092715721%
20082016532.3%
20072187233%
20062576123.7%
20052357632.3%
20041383827.5%
20031143934.2%
20021082725%
20011264838.1%

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