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Fault Tolerance Techniques in Big Data Tools: A Survey

Manjula Dyavanur, Kavita Kori

Big Data usually includes data sets with sizes beyond the ability of commonly used software tools to capture, curate, manage, and process the data within a tolerable elapsed time. Fault tolerant system is one that can provide continue correct performance of its specified tasks in presence of failure.This paper is based on a survey of different kind of fault tolerance techniques in big data tools such as Hadoop and MongoDB.

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Академические ключи
CiteFactor
Космос ЕСЛИ
РефСик
Университет Хамдарда
Всемирный каталог научных журналов
Импакт-фактор Международного инновационного журнала (IIJIF)
Международный институт организованных исследований (I2OR)
Cosmos

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