Performance Analysis of Storage Media Cluster Using Ceph Platform

被引:0
|
作者
Effendi, Mufid Ridlo [1 ]
Faruqi, Naufal Abyan [1 ]
Ismail, Nanang [2 ]
机构
[1] UIN Sunan Gunung Djati, Dept Elect Engn, Bandung, Indonesia
[2] UIN Sunan Gunung Djati Bandung, Dept Elect Engn, Bandung, Indonesia
关键词
Ceph; block storage; object storage; throughput;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Growing data triggers better performance on storage systems. The type of storage and the storage system used also affect storage performance. This study aims to analyze the comparison of the performance of block storage and object storage in running a virtual environment using the Ceph storage system. Performance measurement was carried out with several tests including Input-Output per Second and Throughput. The test was carried out using 2 client nodes with an rbd bench. Based on the measurement results, the Write-type on block storage had a value of 81.02%, while the result of the Puts-type on object storage had a value of 41.02%. This fact showed that the Write-type of the storage process in block storage was better than the Puts-type in object storage. The result of the Read-type on block storage had a value of 31.59%, while the result of the Gets-type measurement on object storage had a value of 89.71%. This showed that Puts-type process in object storage was better than Read-type in block storage. The conditions on the Ceph server are still in good condition.
引用
收藏
页码:387 / 390
页数:4
相关论文
共 50 条
  • [31] An ALU cluster Intellectual Property for magnetic RAM media applications platform
    Liou, Chia-Yi
    Chiueh, Herming
    MTTD 2007 TAIPEI: PROCEEDINGS OF 2007 IEEE INTERNATIONAL WORKSHOP ON MEMORY TECHNOLOGY, DESIGN, AND TESTING (MTD '07), 2008, : 67 - 70
  • [32] Assessment of operating performance of chiller systems using cluster analysis
    Yu, F. W.
    Chan, K. T.
    INTERNATIONAL JOURNAL OF THERMAL SCIENCES, 2012, 53 : 148 - 155
  • [33] Modeling and performance analysis of cluster tools using Petri nets
    Srinivasan, RS
    IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING, 1998, 11 (03) : 394 - 403
  • [34] Experimental analysis of the exergetic performance of a solar air heater using separate liquid and solid sensible thermal storage media
    Kumar, R. Ajith
    Baby, Rajesh
    Percy, Dani
    Kumar, S. Ajith
    CASE STUDIES IN THERMAL ENGINEERING, 2025, 66
  • [35] A FRAMEWORK FOR TWEET CLASSIFICATION AND ANALYSIS ON SOCIAL MEDIA PLATFORM USING FEDERATED LEARNING
    Kumar, Voruganti Naresh
    Sivaji, U.
    Kanishka, Gunipati
    Devi, B. Rupa
    Suresh, A.
    Madhavi, K. Reddy
    Ahmed, Syed Thouheed
    MALAYSIAN JOURNAL OF COMPUTER SCIENCE, 2023, : 90 - 98
  • [36] Fault Tolerance Performance Evaluation of Large-Scale Distributed Storage Systems HDFS and Ceph Case Study
    Arafa, Yehia
    Barai, Atanu
    Zheng, Mai
    Badawy, Abdel-Hameed A.
    2018 IEEE HIGH PERFORMANCE EXTREME COMPUTING CONFERENCE (HPEC), 2018,
  • [37] Information storage and retrieval using macromolecules as storage media
    Mansuripur, M
    Khulbe, PK
    Kuebler, SM
    Perry, JW
    Giridhar, MS
    Erwin, JK
    Seong, K
    Marder, S
    Peyghambarian, N
    OPTICAL DATA STORAGE 2003, 2003, 5069 : 231 - 243
  • [38] Building strongly-reliable and high-performance storage cluster with network attached storage disks using PCs
    Bin, C
    Xie, CS
    Li, HY
    Fifth International Conference on Computer and Information Technology - Proceedings, 2005, : 315 - 321
  • [39] Product platform design through sensitivity analysis and cluster analysis
    Dai, Zhihuang
    Scott, Michael J.
    JOURNAL OF INTELLIGENT MANUFACTURING, 2007, 18 (01) : 97 - 113
  • [40] Product platform design through sensitivity analysis and cluster analysis
    Zhihuang Dai
    Michael J. Scott
    Journal of Intelligent Manufacturing, 2007, 18 : 97 - 113