Pass System Ore Storage Capacity Analysis Based on Logistics Theory

Based on logistics theory and borrowed ideas from logistics model inventory management, an ore logistics model of underground mine was built, and an analytical method which could be used to determine pass system storage capacity was proposed. Simulating real ore transfer process in underground mine mining system, ore input and ore output function of pass system were built, and real-time ore quantity in pass system was graphed. Through comprehensively analyzing the figure of real-time ore quantity in pass system and practical mining production, rational pass system storage capacity was calculated. Combined the practical ore transfer process of panel under level 1470 in Yunnan Tin Company Laochang tin mine number 13-8 ore cluster, storage capacity of pass system in panel is calculated which provided reasonable basis for pass system design in underground mine, and improved the reliability of mine engineering design.

HPRD: High Performance Tiered Replica Distribution in Cluster Storage System

The cluster system exists as a variety of different machines. There are Nodes with high performance and nodes with lower performance. The distribution of data on each machine and I / O are determined by the equalization of load balancing. According to the traditional way of clustering data distribution, high performance node performance generally can't fulfill full potential. In this way, the lower performance nodes will become bottleneck. To address this issue we carried out some research and propose a High Performance Tiered Replica Distribution (HPRD) a way of the replica data distribution in the cluster storage system. HPRD can fulfill full high-performance nodes potential in the aspect of the performance benefits and high performance nodes can share more high-performance I/O load. Such performance bottleneck will not exist in the lower performance nodes. It can improve the performance of cluster system and the cluster system resource Utilization rate.It also can reduce inefficient use of resources.