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The Hadoop framework has been widely applied in miscellaneous clusters to build large scalable and powerful systems for massive data processing based on commodity hardware. Hadoop distributed file system (HDFS), the distributed storage component of Hadoop, is responsible for managing vast amount of data effectively in large clusters. To utilize the parallel processing infrastructure of Hadoop,...
The importance of storing and processing data eficiently is intensively highlighted in modern information technology infrastructures. Hadoop Distributed File System (HDFS) acts as the primary storage in modern cloud service environments and has been widely adopted for its portability and fault-tolerance. Current deployment of HDFS which runs on top of commodity hardware is unable to deliver desirable...
Hadoop Distributed File System (HDFS) is the storage component of the Hadoop framework, which is designed for maintaining and processing huge datasets efficiently among cluster nodes. To cooperate with MapReduce, the computation infrastructure of Hadoop, data is required to be uploaded from local file systems to HDFS. Unfortunately when data is of massive scale, the uploading procedure becomes extremely...
To store and manage data efficiently is the critical issue which modern information infrastructures confront with. To accommodate the massive scale of data in the Internet environment, most common solutions utilize distributed file systems. However there still exist disadvantages preventing these systems from delivering satisfying performance. In this paper, we present a Name Node cluster file system...
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