Distributed File System

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Research and optimization of distributed file system based on cloud storage

Research and optimization of distributed file system based on cloud storage University-ocean in this paper, based on the systematic and comprehensive study and summary of the development status and characteristics of distributed storage system, the advantages and disadvantages of several common distributed storage System architectures are analyzed emphatically. At the same time, a namenode system architecture with partial equivalence is designed. By adding some equivalent multiple namenode in the metadata server layer, the architecture changes the single point dependence of the centralized storage system represented by HDFS, which reduces the latency of concurrent users and the level of metadata server.

Glusterfs Distributed File System

Glusterfs Distributed File System Liu 2014/12/27 glusterfs Introduction glusterfs Principle Analysis Glusterfs Application Scene Glusterfs open problem glusterfs Distributed File system

What is the difference between a Hadoop distributed file system and a OpenStack object store?

Recently, a question was raised on Quora about the differences between Hadoop Distributed file systems and OpenStack object storage. The original question is as follows: "HDFS (Hadoop Distributed File System) and OpenStack object Storage (OpenStack object Storage) all seem to have similar purposes: to achieve redundant, fast, networked storage. What are the technical features that make the two systems so different? Is it significant that these two storage systems eventually converge? "After the question was raised, soon ...

Design and implementation of a file prefetching model oriented to Distributed file system

Design and implementation of a file prefetching model oriented to Distributed File System Shi Ming Liu Yi Tangge How to provide stable and efficient file I/O performance for upper level application and computation, is the hotspot of distributed File system performance research. This paper analyzes the common characteristics of the Distributed file system in the design mechanism, and proposes a general heuristic document Prefetching model based on this, and selects the HDFs platform for system implementation. The heuristic file prefetching is transparent to the upper layer, adopts the method of establishing the prefetch thread pool in the file system, and takes the data storage file of the file block as the prefetch unit, in the Distributed File Department ...

PLASMA 0.5 release Computer cluster diagram

Plasma realizes the schematic/reduction framework in the computer cluster. It has its own distributed file system, PLASMAFS for transaction processing (ACID), reliable, fast, and it provides a complete set of file operations. Plasmafs can be via RPC protocol, or via NFS (i.e., it can be mounted). Plasma 0.5 This is the first beta version of the project. The code is fairly stable, fast, and ready for wider testing. Almost all the Http://www.aliyun.com/zix ...

Design and implementation of cloud teaching resource platform based on Hadoop

Design and implementation of cloud teaching resource platform based on Hadoop Beijing Jiaotong University Xu Firstly, this paper designs the storage structure of teaching resources in cloud platform, the hybrid database system combining the advantages of hbase and MySQL, and the web system based on the mainstream SSH2 framework of Java EE. Using Hadoop's Distributed File system to store instructional resources, an experimental cloud teaching resource platform based on Hadoop is implemented. Secondly, it redefined the platform resource feedback mode and role relationship, and increased the spirit of platform management and maintenance.

A mass medical image retrieval system based on Hadoop

A mass medical image retrieval system based on Hadoop fan Xu Sheng to improve the efficiency of mass medical image retrieval, the defect of single node medical image retrieval System This paper presents a mass medical image retrieval system based on Hadoop. Firstly, using Brushlet transform and local two-value mode algorithm to extract medical sample image features and storing image feature inventory in Hadoop Distributed File System (HDFS) And then using map to match the features of the sample image with the feature library, reduce receives the map task ...

Research and realization of HDFS visualization operation

Research and implementation of HDFs visualization Huangwenyi jinsong Lin Shen Hadoop is a software framework implemented by the Java language that is distributed to compute massive amounts of data in a cluster of computers, This cluster supports thousands of nodes and PB-level data. HDFs is a distributed file system designed specifically for Hadoop, which is the most basic component of Hadoop, guaranteeing content integrity and usability. But HDFs's interface is not friendly, You must use the command line or IDE plug-in to implement the ...

Research on distributed processing of network monitoring information flow based on Hadoop

Research on distributed processing of network monitoring information flow based on Hadoop Chen Guoliang A new method of distributed cluster processing based on Hadoop cloud computing framework is proposed for the monitoring of information flow of large data sets in intelligent power grid dispatching system. By analyzing the characteristics of information flow in power grid monitoring system, extracting 3 kinds of critical information flow, using the Distributed File system HDFs and Mapping aggregation model Map/reduce, establishing the distributed processing platform of Cluster group, and realizing the high efficient parallel processing of the monitoring data. Taking the data set of section measurement record of a distribution network as an example.

Wide-area video monitoring integrated service platform based on cloud computing

A wide-area video surveillance integrated service platform based on cloud computing Han Haiwen Zider Fengbin A video surveillance integrated service platform based on SOA architecture and cloud computing technology is designed to solve various problems encountered by current wide-area video surveillance projects. Using the virtualization technology in cloud computing to integrate and manage various heterogeneous hardware and software resources in the bottom layer of the platform, using HDFs Distributed File system and HBase distributed storage system to efficiently distributed storage management of massive video data, Using MapReduce distributed programming framework to realize the distributed parallel processing and financing of user's service.

The method of real estate information service based on Hadoop

The method of real estate information service based on Hadoop Houdong-hui Yu Mingyuan Yele Liang Ronghua Aiming at the problem of operation efficiency of large data information service, this paper proposes a real estate information service method based on Hadoop, and designs and implements a real estate information service prototype system. Use Hadoop to build a distributed file system that uses Rcfile to store and manage data. In addition, the system integrates data indexing, data compression and other techniques, and proposes a SQL efficient query mechanism ——— SQL-JM, turn SQL query into MapR ...

Collaboration mechanism of computing and data in large data technology

A collaborative mechanism for computing and data in large data technology Wang Peng Huang Liu Fengan Handsome Data system is also known as a data-oriented high-performance computing system, similar to the traditional high-performance computing systems, and its computing and data storage is usually based on the cluster implementation of distributed systems. Based on the coordination mechanism of computation and data, this paper compares the high performance computing and data-oriented high performance computation, and points out that the cooperative mechanism of computing and data determines the basic structure and performance of large data system. The integration of Distributed file system and computation through assistance mechanism is the realization of automatic parallelization of large data system.

Energy efficient job submission in Hadoop cluster

Energy efficient and Reliable Job submission in Hadoop clusters Sudha sadasivam S Sangeetha Radhakrishnan This monitors addresses The problem of block allocation in Distributed File system ...

Apache Hadoop

Apache Hadoop jerrin JOSEPH hadoop Hadoop distributed File System (HDFS) Hadoop MapReduce Introduction Architecture Operations Conclusion References Apache Hadoop

Hadoop name Space Quota Management Guide

The Hadoop Distributed File System (HDFS) allows administrators to set quotas for each directory. The newly created directory does not have quotas. The biggest quota is long.max_value. A quota of 1 can force the directory to remain empty. A directory quota is a hard limit on the number of names under the directory tree. If the quota is exceeded when the file or directory is created, the operation fails. Renaming does not change the quota for that directory; If the rename operation results in a violation of the quota limit, the operation will fail. If you try to set a quota and the number of existing files exceeds this new ...

G-CloudIII set up a delay, the British government expressed its support

The British government is about to launch a third-generation cloud storage system, so what will happen in the coming months? This will bring the market how kind of change? The Cabinet Office confirmed that the sales volume of the previous two purchases of G-Cloud I (GI) and G-Cloud II (GII) had reached £ 18.2 million. Good start, which also shows us the future of G-Cloud III (GIII). Obviously, the G-Cloud III (GIII) group is due to a more than 50% increase in suppliers and a more diversified product ...

MapReduce: The free lunch isn't over yet?

Microsoft's famous C + + master Herb Sutter wrote a heavyweight article in early 2005: "The free lunch is over:a fundamental Turn toward concurrency in Software", Another major change in software development after OO is predicted-parallel computing. The era of software development under Moore's Law has a very interesting phenomenon: "Andy giveth, and Bill ...

The controversy between open source and pure faction

IDC released its latest report in Monday, which said that the software market revenues associated with Hadoop and MapReduce programming frameworks for large data analysis would surge from $77 million trillion in 2011 to $812.8 million in 2016, with an annual compound growth rate of 60.2% per cent. Hadoop is an open source implementation of the MapReduce framework, hosted by the Apache Software Foundation, which has a number of supporting software projects, including the Hadoop Distributed File System (H ...).

Application and challenge of Hadoop in network and online backup

The application and challenge of Hadoop in network and online backup Carbonite technology Director and senior architect Johnlya@163.com 2012-12-1 1, Internet Storage application features 2, network disk and online backup features 3, distributed storage Platform Introduction 4, Total implementation Scenario 5, distributed database Analysis 6, distributed database features 7, Distributed File System Analysis 8, summary temp_121204 ...

Into the cloud-chubby

Chubby is simply a distributed lock service, where thousands of the client's chubby can "lock" or "unlock" a resource, and collaborative work within systems such as bigtable and MapReduce often uses chubby, In implementation is the use of the well-known scientists Leslie Lamport Paxos algorithm, through the creation of operational files to achieve "lock." In the implementation mechanism, chubby itself is actually a distributed file system, and provide some mechanism ...

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