Sechdfs: A Secure Data Allocation Scheme For Heterogenous Hadoop Systems

Bowen Tian,Yun Tian, Brandon Huebert,Yijie Sun, Trevor Hurt, Waymon Ho,Yuting Zhang,Danqi Chen, Hwa Sung Lee

2016 IEEE INTERNATIONAL CONFERENCE ON NETWORKING ARCHITECTURE AND STORAGE (NAS)(2016)

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摘要
Apache Hadoop is a widely used distributed computing framework and its file system is Hadoop Distributed File System (HDFS), which assumes that DataNodes in a system are homogeneous in nature. When a cloud system scales up, DataNodes are very likely to become heterogeneous. Thus, extensive research has been placed on improving performance for heterogeneous Hadoop systems, but little attention has been placed on security improvements. This motivates us to investigate a data allocation scheme called the Secure HDFS (SecHDFS) by integrating the secret sharing technique to improve storage security in a heterogeneous Hadoop system.
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关键词
Apache Hadoop,Hadoop Distributed File System,Distributed Computing,Block Placement Policy,Heterogeneous Systems,Data Security
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