会议信息

MSST 2026: International Conference on Massive Storage Systems and Technology

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截稿日期:
2026-04-14 已截稿
通知日期:
2026-05-01
会议日期:
2026-06-01
会议地点:
Santa Clara, California, USA
届数:
CCF: B   浏览: 63791   关注: 67   参加: 17
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MSST
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会伴指数 (CP-I)

72.7 / 100
全站第 291 名 / 共 5,696 个会议 · 前 6%

系统与体系结构 第 53 / 340

学术认可 (35%)
82
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
100
社区关注 (10%)
57
资料公开度 (15%)
55

用到的输入: 收录等级:CCF B · 有据可查的届次:40 · 在会伴关注它的研究者:67 人 · 过去 24 个月打开过本页的研究者:8 人

公开资料里还缺: 历年录用率 (+4.5) · 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 80% —— 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 1.2 · 算于 2026-10-15

征稿

MSST 2026 (International Conference on Massive Storage Systems and Technology) is a CCF B conference held in Santa Clara, California, USA on 2026-06-01. The paper submission deadline is 2026-04-14 (extended). Acceptance notifications are sent on 2026-05-01.

MSST 2026 will be held at Santa Clara University, in the heart of Silicon Valley, and offer a full week dedicated to storage technology through both an industrial and a research track. The MSST research track provides a forum for top-quality original storage research, a place where academic researchers and industry practitioners can share findings and challenges in storage technology. Submissions will be judged on their originality, technical merit, topical relevance, and impact. Topics The Research Program Committee encourages the submission of full and short research papers on the implementation, design, and analysis of file and storage systems. Specific areas of interest include, but are not limited to: Application- and workload-specific storage Archival and backup storage Auditing and provenance Deduplication and compression Caching, tiering, and replication Data protection and recovery Disaggregated and distributed storage Storage on the edge Energy-efficient storage Exascale storage architecture and design Experiences with real-world systems and data storage challenges File systems Flash/SSD Heterogeneous memory/storage systems Memory-centric storage systems New storage hardware, DPUs, persistent memory Next-generation storage (DNA, glass) Performance modeling and prediction for storage Usability and quality of service for storage Security and privacy of storage Storage for emerging applications Storage reliability, erasure coding Storage virtualization Storage systems for ML and applying ML to storage systems
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