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Performance Characterization of In-Memory Data Analytics on a Modern Cloud Server

Ahsan Javed Awan, Mats Brorsson, Vladimir Vlassov, Eduard Ayguade
2015 2015 IEEE Fifth International Conference on Big Data and Cloud Computing  
This paper characterizes the performance of in-memory data analytics using Apache Spark framework.  ...  We also quantify the inefficiencies at micro-architecture level for various data analysis workloads.  ...  Deep dive analysis reveal that big data analysis workload is bound on memory latency but the conclusion can not be generalised.  ... 
doi:10.1109/bdcloud.2015.37 dblp:conf/bdcloud/AwanBVA15 fatcat:pd6o3ofxgjg3dcyzxypom3lvde

Architectural Impact on Performance of In-memory Data Analytics: Apache Spark Case Study [article]

Ahsan Javed Awan, Mats Brorsson, Vladimir Vlassov, Eduard Ayguade
2016 arXiv   pre-print
However, recent studies on micro-architectural characterization of in-memory data analytics are limited to only batch processing workloads.  ...  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  ...  ACKNOWLEDGMENTS This work was supported by Erasmus Mundus Joint Doctorate in Distributed Computing (EMJD-DC) program funded by the Education, Audiovisual and Culture Executive Agency (EACEA) of the European  ... 
arXiv:1604.08484v1 fatcat:tp3yp5g32nek3d2ndr73vaavf4

Workload-Aware Data Management in Shared-Nothing Distributed OLTP Databases

Joarder Mohammad Mustafa Kamal
2017
In addition, transactional patterns are often influenced by the frequent data tuples in the database, resulting in significant changes in the workload that none of the static partitioning schemes can handle  ...  These complexities are addressed in three distinct ways — hide the workload network complexities during analysis by using different level of abstractions; find the appropriate size of observation window  ...  As we dive deep into this research, the challenge seems intertwined with many interesting and complex elements that are not trivial to deal with.  ... 
doi:10.4225/03/58b7a71ee7463 fatcat:rhqsy74p35ffbhzgjmduuh73eq