most citedAcademic Cloud Computing Research: Five Pitfalls and Five Opportunities

38 citations · 56 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.DC2014

Are Clouds Ready to Accelerate Ad hoc Financial Simulations?

Blesson Varghese, Adam Barker

Applications employed in the financial services industry to capture and estimate a variety of risk metrics are underpinned by stochastic simulations which are data, memory and comp…

cs.DC2014★ 1 cited

Optimal Deployment of Geographically Distributed Workflow Engines on the Cloud

Long Thai, Adam Barker, Blesson Varghese +2

When orchestrating Web service workflows, the geographical placement of the orchestration engine(s) can greatly affect workflow performance. Data may have to be transferred across…

cs.DC2014★ 4 cited

Executing Bag of Distributed Tasks on the Cloud: Investigating the Trade-offs Between Performance and Cost

Long Thai, Blesson Varghese, Adam Barker

Bag of Distributed Tasks (BoDT) can benefit from decentralised execution on the Cloud. However, there is a trade-off between the performance that can be achieved by employing a lar…

cs.DC2014★ 38 cited

Academic Cloud Computing Research: Five Pitfalls and Five Opportunities

Adam Barker, Blesson Varghese, Jonathan Stuart Ward +1

This discussion paper argues that there are five fundamental pitfalls, which can restrict academics from conducting cloud computing research at the infrastructure level, which is c…

cs.DC2014★ 6 cited

Automating Fault Tolerance in High-Performance Computational Biological Jobs Using Multi-Agent Approaches

Blesson Varghese, Gerard McKee, Vassil Alexandrov

Background: Large-scale biological jobs on high-performance computing systems require manual intervention if one or more computing cores on which they execute fail. This places not…