An efficient backup system using hot-cold data classification in a distributed memory system

초록

As the IT technology advances, data processing system is required to handle and process large amounts of data. For that reason, the In-Memory system is being used which saves and manages all the data on the main memory. That system uses fault tolerance technique for data persistence. But those fault tolerance techniques lead to performance degradation of In-Memory system. So it is necessary to develop backup technique without impact on the performance. In this paper, we propose an algorithm to classify the data into Hot and Cold data in consideration of the data usage characteristics in the In-Memory system and compound backup technique to ensure data persistence. Experimental results show that the proposed technique increases data persistence and reduce impact on the processing performance. © 2015 International Information Institute.

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