Performance Characterization and Optimization of In-Memory Data Analytics on a Scale-up Server

Performance Characterization and Optimization of In-Memory Data Analytics on a Scale-up Server

The sheer increase in the 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 defines the state of the art in big data analytics platforms for (i) exploiting data-flow and in-...

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Bibliographic Details
Main Author: Awan, Ahsan Javed
Format: Doctoral Thesis
Language:English
Published: KTH, Programvaruteknik och Datorsystem, SCS 2017
Subjects:
Workload Characterization
Big Data Analytics
Multicore Performance
Apache Spark
Near Data Processing
NUMA
Hyperthreading
Prefetchers
Coherently attached accelerators
Computer Systems
Datorsystem
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-217910
http://nbn-resolving.de/urn:isbn:978-91-7729-584-6

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-217910
http://nbn-resolving.de/urn:isbn:978-91-7729-584-6

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