Fault-Tolerance Evaluation of a New SQL Database

Abstract

The need of systems able to deal with large amounts of data is increasing in the big data era. These systems run on top of a distributed system where failures will happen. In the last decade a large number of data stores have been developed for providing scalability. These systems avoid some of the properties traditional relational databases provided in order to achieve scalability producing a variety of data stores known as NoSQL data stores. In the last years, NewSQL systems have been developed in order to meet the best of both worlds: transactional processing and SQL language and scalability. In this paper we present a practical experience on how failures affect the regular operation of a scalable fault-tolerant relational database (NewSQL), CumuloNimbo. The paper evaluates the performance of CumuloNimbo using the TPC-C benchmark varying the number of nodes where the database runs under different failure scenarios.

A Review on Fault Tolerance in Distributed Database

“…This proposed fault tolerance technique is quite same with the technique that discussed above. It uses a heartbeat failure detection technique to detect any failure from Region Server (RS) or Data Node [16]. Both nodes are containing their own data.…”