GitHub / Rishikaaka / Erasure-Coding-for-In-Memory-Key-Value-Store

In-memory data storage systems have been proposed to keep primary data in memory to enable scalable, low-latency data access. Due to the high failure rate, most existing in-memory storage systems replicate data copies across storage servers. However, replication has a high storage overhead that could multiply the cost due to the higher cost compared to disk-based storage. There have been proposals to use erasure coding instead to have a better storage efficiency. In this project, you will install and deploy some existing in-memory data storage systems Like Replication-can be performed by Redis and RAMCloud using benchmark tools YCSB. Whereas Erasure Coding- can be performed by memEC using benchmarck YCSB. As well as we calculate the storage efficiency and performance of using these in-memory data storage systems and predict which is better in performance. Using Linux.

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Topics: linux, redis-server, shell-scripting, ycsb

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