earticle

논문검색

The Dynamic Replication Mechanism of HDFS Hot File based on Cloud Storage

초록

영어

As an open source cloud storage scheme, HDFS is used by more and more large enterprises and researchers, and is actually applied to many cloud computing systems to deal with huge amounts of data. HDFS has many advantages, but there are some problems such as NameNode single point of failure, small file problem, hot issues, etc. For HDFS hot issues, this paper proposes a dynamic Replication mechanism of HDFS hot file based on cloud storage(HDFS-DRM). The mechanism includes a Replication of the dynamic adjustment mechanism and adding, deleting duplicate node selection mechanism in two parts, by increasing the NameNode, BlockMap parameters, it records the number of reading requests of each file in a certain period of time to decide whether to increase or decrease the number of copies. The mechanism presents a replica placement method based on stage historical information and node load and selects the appropriate node to add or delete copies of documents to improve the utilization efficiency of the data node storage space effectively. Experimental results show that, HDFS - DRM in hot files case, compared to native HDFS file system access latency is significantly reduced, HDFS-DRM can solve the hot issues successfully.

목차

Abstract
 1. Introduction
 2. Framework of Dynamic Replication mechanism system based on HDFS
  2.1. Increasing access_log and Timer1 in NameNode
  2.2. Adding a Separate Dynamic Replica Controller, its Main Functions
 3. The Improvement of the BlockMap
 4. The Node's Selection of Adding and Deleting Replication
  4.1. The Selection of Node that Increase the Replication
  4.2. The Selection of Node that Delete Replication
 5. Experiment and Analysis
 6. Conclusion
 Acknowledgement
 References

저자정보

  • Mingyong Li College of Computer and Information Science, Chongqing Normal University, Chongqing, China
  • Yan Ma College of Computer and Information Science, Chongqing Normal University, Chongqing, China
  • Meilian Chen College of Computer and Information Science, Chongqing Normal University, Chongqing, China

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.