51 citations · 145 across the 11 of their papers we have counts for
7 papers · 1 filter
Cloud-native RStudio on Kubernetes for Hopsworks
Gibson Chikafa, Sina Sheikholeslami, Salman Niazi +2
In order to fully benefit from cloud computing, services are designed following the "multi-tenant" architectural model, which is aimed at maximizing resource sharing among users. H…
Bandwidth-Aware Page Placement in NUMA
David Gureya, João Neto, Reza Karimi +6
Page placement is a critical problem for memoryintensive applications running on a shared-memory multiprocessor with a non-uniform memory access (NUMA) architecture. State-of-the-a…
Identifying the potential of Near Data Computing for Apache Spark
Ahsan Javed Awan, Mats Brorsson, Vladimir Vlassov +1
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…
High-Level Programming Abstractions for Distributed Graph Processing
Vasiliki Kalavri, Vladimir Vlassov, Seif Haridi
Efficient processing of large-scale graphs in distributed environments has been an increasingly popular topic of research in recent years. Inter-connected data that can be modeled…
Architectural Impact on Performance of In-memory Data Analytics: Apache Spark Case Study
Ahsan Javed Awan, Mats Brorsson, Vladimir Vlassov +1
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…
How Data Volume Affects Spark Based Data Analytics on a Scale-up Server
Ahsan Javed Awan, Mats Brorsson, Vladimir Vlassov +1
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. Whil…
Performance Characterization of In-Memory Data Analytics on a Modern Cloud Server
Ahsan Javed Awan, Mats Brorsson, Vladimir Vlassov +1
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 p…