Publications

2018

  • CloudInsight: Utilizing a Council of Experts to Predict Future Cloud Application Workloads (IEEE Cloud 2018)

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  • Orchestra: Guaranteeing Performance SLAs for Cloud Applications by Avoiding Resource Storms (IEEE ISPDC 2018)

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2017

  • Hunting Data Rogues at Scale: Data Quality Control for Observational Data in Research Infrastructures (eScience 2017)

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  • iCSI: A Cloud Garbage VM Collector for Addressing Inactive VMs with Machine Learning (IC2E 2017)

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2016

  • Experiences Creating a Framework for Smart Traffic Control using AWS IOT (UCC 2016)

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  • Empirical Evaluation of Cloud Workload Forecasting Techniques (Cloud 2016)

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2015

  • WDCloud: An End to End System for Large-Scale Watershed Delineation on Cloud (Big Data-Geosciences 2015)

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  • PICS: A Public IaaS Cloud Simulator (Cloud 2015)

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  • Toward Optimal Resource Provisioning for Cloud MapReduce and Hybrid Cloud Applications (Cloud 2015)

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2014

  • Calibration of SWAT models using the Cloud (J. Env Model/SW 2014)

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  • Comprehensive Elastic Resource Management to Ensure Predictable Performance for Scientific Applications on Public IaaS Clouds (UCC 2014)

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2013

  • CloudDRN: A Lightweight, End-to-End System for Sharing Distributed Research Data in the Cloud (eScience 2013)

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  • Scaling and Scheduling to Maximize Application Performance within Budget Constraints in Cloud Workflows (IPDPS 2013)

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2012

  • Calibration of Watershed Models using Cloud Computing (eScience 2012)

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  • A Performance Study on the VM Startup Time in the Cloud (Cloud 2012)

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  • A Model and Decision Procedure for Data Storage in Cloud Computing (CCGrid 2012)

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2011

  • Assessing the Value of Cloudbursting: A Case Study of Satellite Image Processing on Windows Azure (eScience 2011)

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  • Auto-scaling to minimize cost and meet application deadlines in cloud workflows (Supercomputing 2011)

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  • Data-intensive science: The Terapixel and MODISAzure projects (Int J HPCA 2011)

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  • An automated approach to cloud storage service selection (Science Cloud 2011)

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  • Predictable high-performance computing using feedback control and admission control (J IEEE Trans Par Dis 2011)

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  • Early observations on the performance of Windows Azure (J Sci Prog 2011)

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2010

  • Fault tolerance and scaling in e-Science cloud applications: observations from the continuing development of MODISAzure (eScience 2010)

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  • CSAL: A Cloud Storage Abstraction Layer to Enable Portable Cloud Applications (CloudCom 2010)

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  • Cloud auto-scaling with deadline and budget constraints (Grid 2010)

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  • A data-centered collaboration portal to support global carbon-flux analysis (J Con Comp:Prac Exp 2010)

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  • eScience in the cloud: A MODIS satellite data reprojection and reduction pipeline in the Windows Azure platform (IPDPS 2010)

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2009

  • Fluxdata.org: Publication and Curation of Shared Scientific Climate and Earth Sciences Data (eScience 2009)

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  • A Quantitative Analysis of High Performance Computing with Amazon’s EC2 Infrastructure: The Death of the Local Cluster? (Grid 2009)

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  • Self-Tuning Virtual Machines for Predictable eScience (CCGrid 2009)

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2008

  • Feedback-controlled resource sharing for predictable eScience (Supercomputing 2008)

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