Determination of Data Backup System Fault Tolerance

The paper considers the method of researching the fault tolerance of the backup system based on semi-Markov processes, and presents a quick overview of calculation methods for dynamic and static models of reliability analysis. The research shows that implementations based on semi-Markov processes have practically no limitations on building failure, recovery and backup models, and also provide the most accurate results. We described the existing storage technologies. By mixed, i.e., analytical-simulation, modeling, we implemented the data backup model. The simulation part, which determines the fault tolerance of switches and servers, is presented in terms of queuing theory, and the analytical part suggests defining fault tolerance for a data storage system based on semi-Markov processes.

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Research and Design of the Distributed Mass Small File Storage System Based on WCF

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.765-767.1087 ◽

2013 ◽

Vol 765-767 ◽

pp. 1087-1091

Author(s):

Hong Lin ◽

Shou Gang Chen ◽

Bao Hui Wang

Keyword(s):

Fault Tolerance ◽

Distributed Computing ◽

Data Storage ◽

Large Scale ◽

Storage System ◽

Hardware Platform ◽

File Storage ◽

Computing Framework ◽

Research And Design ◽

Small File

Recently, with the development of Internet and the coming of new application modes, data storage has some new characters and new requirements. In this paper, a Distributed Computing Framework Mass Small File storage System (For short:Dnet FS) based on Windows Communication Foundation in .Net platform is presented, which is lightweight, good-expansibility, running in cheap hardware platform, supporting Large-scale concurrent access, and having certain fault-tolerance. The framework of this system is analyzed and the performance of this system is tested and compared. All of these prove this system meet requirements.

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Increasing reliability and fault tolerance of a secure distributed cloud storage

10.47350/iccs-de.2020.16 ◽

2020 ◽

Author(s):

N. Kucherov ◽

M. Babenko ◽

A. Tchernykh ◽

V. Kuchukov ◽

I. Vashchenko

Keyword(s):

Fault Tolerance ◽

Data Storage ◽

Storage System ◽

Number System ◽

Modular Arithmetic ◽

Cloud Data ◽

Cloud Data Storage ◽

Data Storage System ◽

Set Up ◽

Cloud Servers

The work develops the architecture of a multi-cloud data storage system based on the principles of modular arithmetic. This modication of the data storage system allows increasing reliability of data storage and fault tolerance of the cloud system. To increase fault-tolerance, adaptive data redistribution between available servers is applied. This is possible thanks to the introduction of additional redundancy. This model allows you to restore stored data in case of failure of one or more cloud servers. It is shown how the proposed scheme will enable you to set up reliability, redundancy, and reduce overhead costs for data storage by adapting the parameters of the residual number system.

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