Design of material management system of mining group based on Hadoop

Abstract

Abstract. Under the background of persistent slowdown in mining market at present, improving the management level in mining group has become the key link to improve the economic benefit of the mine. According to the practical material management in mining group, three core components of Hadoop are applied: distributed file system HDFS, distributed computing framework Map/Reduce and distributed database HBase. Material management system of mining group based on Hadoop is constructed with the three core components of Hadoop and SSH framework technology. This system was found to strengthen collaboration between mining group and affiliated companies, and then the problems such as inefficient management, server pressure, hardware equipment performance deficiencies that exist in traditional mining materialmanagement system are solved, and then mining group materials management is optimized, the cost of mining management is saved, the enterprise profit is increased.

A Novel Hadoop Security Model for Addressing Malicious Collusive Workers

“…MR provides applications to work on thousands of machines and petabytes of information in parallel and in a cost-effective manner. is is accomplished by using commodity hardware to build cluster nodes as core basic components of Hadoop [4][5][6][7]. A Hadoop Cluster consists of a single master node that hosts the JobTracker service and a set of workers each hosting a TaskTracker service.…”