Anastasios papagiannis

TeraHeap: Exploiting Flash Storage for Mitigating DRAM Pressure in Managed Big Data Frameworks

Big data analytics frameworks, such as Spark and Giraph, need to process and cache massive datasets that do not always fit on the managed heap. Therefore, frameworks temporarily …

TeraHeap: Reducing Memory Pressure in Managed Big Data Frameworks

Big data analytics frameworks, such as Spark and Giraph, need to process and cache massive amounts of data that do not always fit on the managed heap. Therefore, frameworks …

Freeing Compute Caches from Serialization and Garbage Collection in Managed Big Data Analytics

Managed analytics frameworks (e.g., Spark) cache intermediate results in memory (on-heap) or storage devices (off-heap) to avoid costly recomputations, especially in graph …

Say Goodbye to Off-heap Caches! On-heap Caches Using Memory-Mapped I/O