Dynamic Architecture for Collaborative Distributed Storage of Collected Data in Fog Environments

Benhamida, Nadjette; Bouallouche-Medjkoune, Louiza; Aı̈ssani, Djamil; Kouahla, Zineddine

doi:10.1007/s11277-021-09301-6

Cited by 1 publication

(1 citation statement)

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“…Robust data file storage services are implemented and promoted by hierarchical architecture. Distributed storage stores the big data of the race in multiple independent devices, and each node shares the data [1]. Identify hotspot data and cache or prefetch it to reduce the storage load pressure of a single node [2].…”

Section: Introductionmentioning

confidence: 99%

Research on distributed competition big data hierarchical storage method based on Ceph architecture

Chen

Liu²,

Zhang³

et al. 2022

International Conference on Signal Processing and Communication Security (ICSPCS 2022)

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In the face of intensive data access requests, the current big data storage methods have the problem of poor concurrent read-write performance. Based on Ceph architecture, a distributed big data hierarchical storage method is designed to realize the robust storage service of data files. According to the frequency and popularity of the access object, the cold data with low frequency is eliminated, and the access cache pool or back-end storage pool is selected. Standardize the I/O performance, load and capacity values in the OSD set, calculate the comprehensive weight, and determine the priority of node access. The entire Ceph architecture balances the data distribution. When highly concurrent data access operations occur, a random number is selected to execute the read service of the storage node to ensure the interconnection communication in different clusters. The test results show that the write and read time of the hierarchical storage method based on Ceph architecture is greatly reduced, and good results are achieved in terms of cache hit rate, which can effectively manage and store competitive big data.

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Section: Introductionmentioning

confidence: 99%