Plug and play bench: Simplifying big data benchmarking using containers

S Ceesay, A Barker, B Varghese - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
The recent boom of big data, coupled with the challenges of its processing and storage gave
rise to the development of distributed data processing and storage paradigms like …

An Approach to Workload Generation for Cloud Benchmarking: a View from Alibaba Trace

J Zhu, B Lu, X Yu, J Xu, T Wo - 2023 IEEE 15th International …, 2023 - ieeexplore.ieee.org
Finding performance bottlenecks through bench-marking is one of the driving forces to
improve the resource provision efficiency of cloud computing. Although existing benchmarks …

Soft error resilience of Big Data kernels through algorithmic approaches

T LeCompte, W Legrand, S Chen, L Peng - The Journal of …, 2017 - Springer
As the volume of data generated each day continues to increase, more and more interest is
put into Big Data algorithms and the insight they provide.? Since these analyses require a …

Compilation Optimizations to Enhance Resilience of Big Data Programs and Quantum Processors

TD LeCompte - 2022 - search.proquest.com
Modern computers can experience a variety of transient errors due to the surrounding
environment, known as soft faults. Although the frequency of these faults is low enough to …

A grey-box approach to benchmarking and performance modelling of data-intensive applications

S Ceesay - 2021 - research-repository.st-andrews.ac …
The advent of big data about a decade ago, coupled with its processing and storage
challenges gave rise to the development of a multitude of data-intensive frameworks. These …