• How data volume affects spark based data analytics on a scale-up server 

      Awan, Ahsan; Brorsson, Mats; Vlassov, Vladimir; Ayguadé Parra, Eduard (Springer, 2015)
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      Sheer increase in volume of data over the last decade has triggered research in cluster computing frameworks that enable web enterprises to extract big insights from big data. While Apache Spark is gaining popularity for ...
    • Micro-architectural characterization of Apache Spark on batch and stream processing workloads 

      Awan, Ahsan; Brorsson, Mats; Vlassov, Vladimir; Ayguadé Parra, Eduard (Institute of Electrical and Electronics Engineers (IEEE), 2016)
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      While cluster computing frameworks are continuously evolving to provide real-time data analysis capabilities, Apache Spark has managed to be at the forefront of big data analytics for being a unified framework for both, ...
    • Node architecture implications for in-memory data analytics on scale-in clusters 

      Awan, Ashan Javed; Vlassov, Vladimir; Brorsson, Mats; Ayguadé Parra, Eduard (Association for Computing Machinery (ACM), 2016)
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      While cluster computing frameworks are continuously evolving to provide real-time data analysis capabilities, Apache Spark has managed to be at the forefront of big data analytics. Recent studies propose scale-in clusters ...
    • Performance characterization of in-memory data analytics on a modern cloud server 

      Awan, Ahsan; Brorsson, Mats; Vlassov, Vladimir; Ayguadé Parra, Eduard (Institute of Electrical and Electronics Engineers (IEEE), 2015)
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      In last decade, data analytics have rapidly progressed from traditional disk-based processing to modern in-memory processing. However, little effort has been devoted at enhancing performance at micro-architecture level. ...