Selected Publications

it is extremely difficult for cloud users to know which – if any – existing workload predictor will work best for their particular cloud activity, especially when considering highly variable workload patterns, non-trivial billing models, variety of resources to add/subtract, etc. To solve this problem, we conduct comprehensive evaluations for a variety of workload predictors under real-world cloud configurations.
In Cloud 2016

it is extremely difficult for cloud users to know which – if any – existing workload predictor will work best for their particular cloud activity, especially when considering highly variable workload patterns, non-trivial billing models, variety of resources to add/subtract, etc. To solve this problem, we conduct comprehensive evaluations for a variety of workload predictors under real-world cloud configurations.
In Cloud 2012

Recent Publications

  • Empirical Evaluation of Cloud Workload Forecasting Techniques

    Details PDF Project

  • WDCloud: An End to End System for Large-Scale Watershed Delineation on Cloud

    Details PDF

  • Toward Optimal Resource Provisioning for Cloud MapReduce and Hybrid Cloud Applications

    Details PDF

  • A Performance Study on the VM Startup Time in the Cloud

    Details PDF Project

Projects

  • AmeriFlux

    The AmeriFlux network is a community of sites and scientists measuring ecosystem carbon, water, and energy fluxes across the Americas, and committed to producing and sharing high quality eddy covariance data. AmeriFlux investigators and modelers work together to generate understanding of terrestrial ecosystems in a changing world. We are part of the data team, which is led by Deb Agarwal of LBL.

  • Cloud Auto-scaling

    Public cloud computing has almost all of the capabilities one could ask for; how can we automatically choose/provision/manage the cloud resources to match our requirements?

  • Fluxnet

    Today, the eddy covariance flux measurements of carbon, water vapor, energy exchange are being made routinely across a confederation of regional networks in North, Central and South America, Europe, Asia, Africa, and Australia, in a global network, called FLUXNET. We are part of the infrastructure team, which is led by Dennis Baldocchi of UC-Berkeley.

Teaching

I am a teaching instructor for the following courses at the University of Virginia:

  • CS4740: Cloud Computing (Fall 2016)
  • CS4740: Cloud Computing (Spring 2016)
  • CS 6501: Cloud and Big Data (graduate seminar) (Fall 2015)
  • CS 4740: Cloud Computing (Spring 2015)
  • CS 6456: Operating Systems (Fall 2014)

Contact