4 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.DC2024
vPALs: Towards Verified Performance-aware Learning System For Resource Management
Guoliang He, Gingfung Yeung, Sheriffo Ceesay +1
Accurately predicting task performance at runtime in a cluster is advantageous for a resource management system to determine whether a task should be migrated due to performance de…
cs.DC2020★ 4 cited
Benchmarking and Performance Modelling of MapReduce Communication Pattern
Sheriffo Ceesay, Adam Barker, Yuhui Lin
Understanding and predicting the performance of big data applications running in the cloud or on-premises could help minimise the overall cost of operations and provide opportuniti…
cs.DC2017
Plug and Play Bench: Simplifying Big Data Benchmarking Using Containers
Sheriffo Ceesay, Adam Barker, Blesson Varghese
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 MapRed…