356 citations · 738 across the 43 of their papers we have counts for
36 papers · 1 filter
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…
A Risk-taking Broker Model to Optimise User Requests placement on On-demand and Contract VMs
Chalee Boonprasop, Yuhui Lin, Adam Barker
Cloud providers offer end-users various pricing schemes to allow them to tailor VMs to their needs, e.g., a pay-as-you-go billing scheme, called \textit{on-demand}, and a discounte…
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…
Cloud Futurology
Blesson Varghese, Philipp Leitner, Suprio Ray +9
The Cloud has become integral to most Internet-based applications and user gadgets. This article provides a brief history of the Cloud and presents a researcher's view of the prosp…
Location, Location, Location: Exploring Amazon EC2 Spot Instance Pricing Across Geographical Regions - Extended Version
Nnamdi Ekwe-Ekwe, Adam Barker
Cloud computing is becoming an almost ubiquitous part of the computing landscape. For many companies today, moving their entire infrastructure and workloads to the cloud reduces co…
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…