Abstract
HDFS is a distributed file system of Hadoop cluster, providing storage service for cloud computing. Files in HDFS are broken into block-sized chunks, each block is replicated to physically separated machines. Some studies have been conducted to HDFS, but no work focuses on the performance analysis of HDFS. In this paper, a concise mathematic tool is adopted, Stochastic Petri Nets (SPNs), to establish a system model of HDFS. By the general SPNs model, the reliability, availability and maintainability of HDFS can be measured, and a hierarchical decomposition method is proposed to avoid the state space explosion problem as well, which give a theoretical basis for further studying on the optimal reliability of cloud services.
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