Abstract
Cassandra as a type of NoSQL databases has been put forward so as to surmount the hurdles of traditional relational databases in the scope of big data as well as real-time applications whose paramount traits are high-speed data production (volume) and miscellaneous data formats (variety). The dynamic nature of distributed data, distributed systems, and their concomitant applications results in skewed data access patterns, thereby causing imbalanced data issues, and in turn consecutive performance deterioration after all. In this study, we have proposed a dynamic data dissemination (D3) strategy well conforming to the dynamic behavior of distributed environment, including diversified as well as temporal popularity of data requests, and heterogeneous node capacity. The assessment results have shed light on performance improvement.
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