Increasing reliability and fault tolerance of a secure distributed cloud storage Nikolay Kucherov1;y, Mikhail Babenko1;yy, Andrei Tchernykh2;z, Viktor Kuchukov1;zz and Irina Vashchenko1;yz 1 North-Caucasus Federal University,Stavropol,Russia 2 CICESE Research Center,Ensenada,Mexico E-mail:
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[email protected] Abstract. The work develops the architecture of a multi-cloud data storage system based on the principles of modular arithmetic. This modification 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. 1. Introduction Currently, cloud services, Google, Amazon, Dropbox, Microsoft OneDrive, providing cloud storage, and data processing services, are gaining high popularity. The main reason for using cloud products is the convenience and accessibility of the services offered. Thanks to the use of cloud technologies, it is possible to save financial costs for maintaining and maintaining servers for storing and securing information. All problems arising during the storage and processing of data are transferred to the cloud provider [1]. Distributed infrastructure represents the conditions in which competition for resources between high-priority computing tasks of data analysis occurs regularly [2].