A Novel Distributed File System Using Blockchain Metadata

被引:0
|
作者
Deepa S. Kumar
S. Dija
M. D. Sumithra
M. Abdul Rahman
Praseeda B. Nair
机构
[1] College of Engineering Munnar,
[2] Centre for Development of Advanced Computing,undefined
[3] LBS Institute of Technology for Women,undefined
[4] LBS Centre for Science and Technology,undefined
[5] Amal Jyothi College of Engineering,undefined
来源
关键词
Cluster computing; Google file system; Peer-to-Peer network; HDFS; Single point of failure; Meta data;
D O I
暂无
中图分类号
学科分类号
摘要
Cluster computing has become an inevitable part of data processing as the huge volume of data being produced from different sources like online social media, IoT, mobiledata, sensor data, black box data and so on increases in an exponentially fast manner. Distributed File System defines different methods to distribute, read and eliminate the files among different cluster computing nodes. It is found that popular distributed file systems such as Google File System and Hadoop Distributed File System store metadata centrally. This creates a chance for a Single Point of Failure that arises the need for backup and alternative solutions to recover the metadata on the failure of the metadata server. Also, the name node server is built using expensive and reliable hardware. For small and medium clusters, it is not cost effective to maintain expensive name node server. Even though cheap commodity hardware may substitute the name node functionality, they are prone to hardware failure. This paper proposes a novel distributed file system to distribute files over a cluster of machines connected in a Peer-to-Peer network. The most significant feature of the file system is its capability to distribute the metadata using distributed consensus, using hash values. Although the distributed metadata is visible to the public, the methodology ensures that it is immutable and irrefutable. As part of the in-depth research, the proposed file system has been successfully tested in the Google Cloud Platform. Also, the basic operations like read, write, and delete on Distributed File System with distributed metadata are compared with that of Hadoop Distributed File System based on distribution time on the same cluster setup. The novel distributed file system provides better results compared to the existing methodologies.
引用
收藏
页码:501 / 520
页数:19
相关论文
共 50 条
  • [31] LCCFS: a lightweight distributed file system for cloud computing without journaling and metadata services
    Li Wang
    Jingling Xue
    Xiangke Liao
    Yunchuan Wen
    Min Chen
    [J]. Science China Information Sciences, 2019, 62
  • [32] LCCFS: a lightweight distributed file system for cloud computing without journaling and metadata services
    Wang, Li
    Xue, Jingling
    Liao, Xiangke
    Wen, Yunchuan
    Chen, Min
    [J]. SCIENCE CHINA-INFORMATION SCIENCES, 2019, 62 (07)
  • [33] Reducing the Load of Metadata Server by Changing Cache Policy Dynamically in Distributed File System
    Matsuno, Masaya
    Kawashima, Ryota
    Saito, Shoich
    Matsuo, Hiroshi
    [J]. 2013 FIRST INTERNATIONAL SYMPOSIUM ON COMPUTING AND NETWORKING (CANDAR), 2013, : 173 - 179
  • [34] A Novel Distributed CA System Based on Blockchain
    Li, Weijian
    Li, Chengyan
    Xu, Qiwei
    Yin, Keting
    [J]. 2022 IEEE 10TH INTERNATIONAL CONFERENCE ON INFORMATION, COMMUNICATION AND NETWORKS (ICICN 2022), 2022, : 710 - 716
  • [35] Blockchain Enabled Hadoop Distributed File System Framework for Secure and Reliable Traceability
    Gupta, Manish Kumar
    Dwivedi, Rajendra Kumar
    [J]. ADCAIJ-ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL, 2023, 12 (01):
  • [36] A Novel Metadata Management Architecture Based on Service Separation in Cluster File System
    Zhang, Junwei
    Zhang, Jingliang
    Zhang, Jiangang
    Han, Xiaoming
    Xu, Lu
    [J]. 2009 INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED COMPUTING, APPLICATIONS AND TECHNOLOGIES (PDCAT 2009), 2009, : 110 - 115
  • [37] Design and Implementation of a Novel Distributed Memory File System
    Karnani, Urvashi
    Kalmady, Rajesh
    Chand, Phool
    Bhattacharjee, Anup
    Jagadeesh, B. S.
    [J]. ADVANCED COMPUTING, PT III, 2011, 133 : 139 - +
  • [38] HopsFS: Scaling Hierarchical File System Metadata Using NewSQL Databases
    Niazi, Salman
    Ismail, Mahmoud
    Haridi, Seif
    Dowling, Jim
    Grohsschmiedt, Steffen
    Ronstrom, Mikael
    [J]. PROCEEDINGS OF FAST '17: 15TH USENIX CONFERENCE ON FILE AND STORAGE TECHNOLOGIES, 2017, : 89 - 103
  • [39] FileScale: Fast and Elastic Metadata Management for Distributed File Systems
    Liao, Gang
    Abadi, Daniel J.
    [J]. PROCEEDINGS OF THE 2023 ACM SYMPOSIUM ON CLOUD COMPUTING, SOCC 2023, 2023, : 459 - 474
  • [40] CFS: Scaling Metadata Service for Distributed File System via Pruned Scope of Critical Sections
    Wang, Yiduo
    Wu, Yufei
    Li, Cheng
    Zheng, Pengfei
    Cao, Biao
    Sun, Yan
    Zhou, Fei
    Xu, Yinlong
    Wang, Yao
    Xie, Guangjun
    [J]. PROCEEDINGS OF THE EIGHTEENTH EUROPEAN CONFERENCE ON COMPUTER SYSTEMS, EUROSYS 2023, 2023, : 331 - 346