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Browsing publications by Dr Jacek Cala.

Newcastle AuthorsTitleYearFull text
Naif Alzahrani
Dr Jacek Cala
Professor Paolo Missier
Experience: A Comparative Analysis of Multivariate Time-Series Generative Models: A Case Study on Human Activity Data2024
Rawaa Qasha
Dr Zhenyu Wen
Dr Jacek Cala
Professor Paul Watson
Sharing and performance optimization of reproducible workflows in the cloud2019
Priyaa Thavasimani
Dr Jacek Cala
Professor Paolo Missier
Why-Diff: Exploiting Provenance to Understand Outcome Differences from Non-Identical Reproduced Workflows2019
Dr Jacek Cala
Dr Jannetta Steyn
Professor Paolo Missier
Design and evaluation of a genomics variant analysis pipeline using GATK Spark tools2018
Dr Jacek Cala
Dr Jannetta Steyn
Professor Paolo Missier
Design and evaluation of a genomics variant analysis pipeline using GATK Spark tools2018
Priyaa Thavasimani
Dr Jacek Cala
Professor Paolo Missier
Exploiting execution provenance to explain difference between two data-intensive computations2018
Dr Jacek Cala
Professor Paolo Missier
Provenance annotation and analysis to support process re-computation2018
Dr Jacek Cala
Professor Paolo Missier
Provenance Annotation and Analysis to Support Process Re-Computation2018
Professor Paolo Missier
Dr Jacek Cala
Report on the first international workshop on incremental re-computation: Provenance and beyond2018
Dr Jacek Cala
Professor Paolo Missier
Selective and recurring re-computation of Big Data analytics tasks: insights from a Genomics case study2018
Dr Zhenyu Wen
Dr Jacek Cala
Professor Paul Watson
Emeritus Professor Alexander Romanovsky
Cost Effective, Reliable and Secure Workflow Deployment over Federated Clouds2017
Rawaa Qasha
Dr Jacek Cala
Professor Paul Watson
Dynamic deployment of scientific workflows in the cloud using container virtualization2017
Professor Paolo Missier
Dr Jacek Cala
Dr Manisha Rathi
Preserving the value of large scale data analytics over time through selective re-computation2017
Dr Jacek Cala
Professor Paolo Missier
Selective and recurring re-computation of Big Data analytics tasks: insights from a Genomics case study2017
Priyaa Thavasimani
Dr Jacek Cala
Professor Paolo Missier
Why-Diff: Explaining differences amongst similar workflow runs by exploiting scientific metadata2017
Dr Jacek Cala
Rawaa Qasha
Professor Paul Watson
A Framework for Scientific Workflow Reproducibility in the Cloud2016
Rawaa Qasha
Dr Jacek Cala
Professor Paul Watson
Dynamic Deployment of Scientific Workflows in the Cloud using Container Virtualization2016
Dr Jacek Cala
Eyad Marei
Dr Yaobo Xu
Professor Paolo Missier
Scalable and Efficient Whole-exome Data Processing Using Workflows on the Cloud2016
Dr Jacek Cala
Eyad Marei
Dr Yaobo Xu
Professor Paolo Missier
Scalable and efficient whole-exome data processing using workflows on the cloud2016
Faris Llwaah
Dr Jacek Cala
Dr Nigel Thomas
Simulation of Runtime Performance of Big Data Workflows on the Cloud2016
Professor Paolo Missier
Dr Jacek Cala
The data, they are a-changin’2016
Dr Jacek Cala
A Leishmaniasis Virtual Laboratory to contribute to leishmaniasis surveillance2015
Dr Zhenyu Wen
Dr Jacek Cala
Professor Paul Watson
A Scalable Method for Partitioning Workflows with Security Requirements over Federated Clouds2015
Dr Zhenyu Wen
Dr Jacek Cala
Professor Paul Watson
Emeritus Professor Alexander Romanovsky
Cost Effective, Reliable and Secure Workflow Deployment over Federated Clouds2015
Faris Llwaah
Dr Nigel Thomas
Dr Jacek Cala
Improving MCT scheduling algorithm to reduce the makespan and cost of workflow execution in the cloud2015
Rawaa Qasha
Dr Jacek Cala
Professor Paul Watson
Towards Automated Workflow Deployment in the Cloud Using TOSCA2015
Dr Jacek Cala
Yaobo Xu
Professor Paolo Missier
From scripted HPC-based NGS pipelines to workflows on the cloud2014
Dr Jacek Cala
Professor Paolo Missier
Scaling Whole Exome sequencing using workflows on the cloud2014
Dr Jacek Cala
Dr Hugo Hiden
Dr Simon Woodman
Professor Paul Watson
Cloud computing for fast prediction of chemical activity2013
Dr Hugo Hiden
Dr Simon Woodman
Professor Paul Watson
Dr Jacek Cala
Developing cloud applications using the e-science central platform2013
Dr Jacek Cala
Dr Hugo Hiden
Dr Simon Woodman
Supporting NGS pipelines in the cloud2013
Dr Jacek Cala
Dr Hugo Hiden
Professor Paul Watson
Dr Simon Woodman
Cloud computing for fast prediction of chemical activity2012
Dr Jacek Cala
Dr Hugo Hiden
Dr Simon Woodman
Professor Paul Watson
Fast Exploration of the QSAR Model Space with e-Science Central and Windows Azure2012
Professor Paul Watson
Dr Jacek Cala
Vladimir Sykora
Dr Hugo Hiden
Dr Simon Woodman
et al.
Cloud Computing for Chemical Activity Prediction2011
Dr Simon Woodman
Dr Hugo Hiden
Professor Paul Watson
Dr Jacek Cala
Developing Applications using the e-Science Central API2011
Dr Simon Woodman
Dr Hugo Hiden
Professor Paul Watson
Dr Jacek Cala
Drug Design Experiments in the Cloud2011
Professor Paul Watson
Dr Hugo Hiden
Dr Simon Woodman
Professor David Leahy
Dr Jacek Cala
et al.
The Panel of Experts Cloud Pattern2011
Dr Hugo Hiden
Professor Paul Watson
Professor David Leahy
Dr Jacek Cala
Dr Dominic Searson
et al.
Accelerating Chemical Property Prediction with Cloud Computing2010
Dr Jacek Cala
Professor Paul Watson
Automatic Software Deployment in the Azure Cloud2010
Dr Jacek Cala
Professor Paul Watson
Automatic Software Deployment in the Azure Cloud2010
Professor Paul Watson
Dr Hugo Hiden
Dr Simon Woodman
Professor David Leahy
Dr Jacek Cala
et al.
e-Science Central: e-Science on the Web, powered by Clouds2010