Adaptive Metadata Management and Flexible Consistency in a Distributed In-memory File-System
Parallel and Distributed Computing, Applications and Technologies（2011）
摘要
Distributed file-systems are a popular storage abstraction for cloud-computing applications. They provide generic data access for different applications in order to pass information between computing nodes and to save computation results persistently. The performance of distributed applications depends on data-consistency protocols and meta-data management, but these factors of influence are often statically configured in distributed file-systems. In this paper, we describe EFS, an in-memory file-system that manages meta-data and consistency by flexibly adapting to file-access patterns.
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关键词
in-memory file-system,flexible consistency,cloud-computing application,data-consistency protocol,flexibly adapting,different application,file-access pattern,computation results persistently,popular storage abstraction,meta-data management,generic data access,adaptive metadata management,data management,distributed application,protocols,meta data,cloud computing,distributed file system,distributed transactions,data integrity,data access,distributed computing,data consistency,information retrieval
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