Locality-Aware GC Optimisations for Big Data Workloads

@inproceedings{Patrcio2017LocalityAwareGO,
  title={Locality-Aware GC Optimisations for Big Data Workloads},
  author={Duarte Patr{\'i}cio and Rodrigo Bruno and Jos{\'e} Sim{\~a}o and Paulo Ferreira and Lu{\'i}s Veiga},
  booktitle={OTM Conferences},
  year={2017}
}
Many Big Data analytics and IoT scenarios rely on fast and non-relational storage (NoSQL) to help processing massive amounts of data. In addition, managed runtimes (e.g. JVM) are now widely used to support the execution of these NoSQL storage solutions, particularly when dealing with Big Data key-value store-driven applications. The benefits of such runtimes can however be limited by automatic memory management, i.e., Garbage Collection (GC), which does not consider object locality, resulting… 
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