Nov 2, 2016 · LCS aims to control the eviction of cache partitions by analyzing the execution flow of application. The overall architecture is shown in Fig. 3 ...

To this end, a strategy named LCS is proposed, which gets dependencies information between cache data via analyzing application, and calculates the recovery ...

This sharing mechanism of caching data in memory makes Spark much faster than other systems. When memory used for caching data reaches the capacity limits, data ...

LCS is an efficient data eviction strategy for Spark, a popular distributed in-memory data processing system. LCS gets dependencies information between ...

By predicting how many times cache data will be reused and using it to weight the recovery cost, LCS always evicts the data which lead to minimum recovery cost ...

To this end, a strategy named LCS is proposed, which gets dependencies information between cache data via analyzing application, and calculates the recovery ...

By predicting how many times cache data will be reused and using it to weight the recovery cost, LCS always evicts the data which lead to minimum recovery cost ...

LCS: An Efficient Data Eviction Strategy for Spark. Y. Geng, X. Shi, C. Pei, H. Jin, and W. Jiang. Int. J. Parallel Program., 45 (6): 1285-1297 (2017 ).

Dec 26, 2022 · Abstract Caching is one of the most important techniques for the popular distributed big data processing framework Spark. For this big data ...

Wenbin Jiang: LCS: An Efficient Data Eviction Strategy for Spark. Int. J. Parallel Program. 45(6): 1285-1297 (2017). a service of Schloss Dagstuhl - Leibniz ...