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UFC2: User-Friendly Collaborative Cloud
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AI
DOI：10.1109/TPDS.2021.3132496.png)
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摘要
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This article studies how today's cloud storage services support collaborative file editing. As a tradeoff for transparency and user-friendliness, they do not ask collaborators to use version control systems but instead implement their own heuristics for handling conflicts, which however often lead to unexpected and undesired experiences. With specialized measurements and reverse engineering, we unravel a number of their design and implementation issues as the root causes of poor experiences. Driven by the findings, we propose to reconsider the collaboration support of cloud storage services from a novel perspective of operations without using any locks. To enable this idea, we design intelligent and efficient approaches to the inference and transformation of users' editing operations, as well as optimizations to the maintenance of files' historical versions and the update of individual files. We build an open-source system UFC2 (User-Friendly Collaborative Cloud) to embody our design, which can avoid most (98%) conflicts with little (2%) overhead.
Keyword:
Cloud computing
Collaboration
Matlab
Transforms
Synchronization
Servers
Codes
Cloud storage
collaborative editing
conflict resolution
operation inference
operation transformation
期刊
IF:
6
论文数:
5.2K
被引数:
1.1W
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