2 citations · 5 across the 6 of their papers we have counts for
6 papers
Evaluation of Machine Learning Techniques for Green Energy Prediction
Ankur Sahai
We evaluate the following Machine Learning techniques for Green Energy (Wind, Solar) Prediction: Bayesian Inference, Neural Networks, Support Vector Machines, Clustering techniques…
Renewable Energy Prediction using Weather Forecasts for Optimal Scheduling in HPC Systems
Ankur Sahai
The objective of the GreenPAD project is to use green energy (wind, solar and biomass) for powering data-centers that are used to run HPC jobs. As a part of this it is important to…
VM Power Prediction in Distributed Systems for Maximizing Renewable Energy Usage
Ankur Sahai
In the context of GreenPAD project it is important to predict the energy consumption of individual (and mixture of) VMs / workload for optimal scheduling (running those VMs which r…
Balls into Bins: strict Capacities and Edge Weights
Ankur Sahai
We explore a novel theoretical model for studying the performance of distributed storage management systems where the data-centers have limited capacities (as compared to storage s…
Derandomization of Online Assignment Algorithms for Dynamic Graphs
Ankur Sahai
This paper analyzes different online algorithms for the problem of assigning weights to edges in a fully-connected bipartite graph that minimizes the overall cost while satisfying…
Online Assignment Algorithms for Dynamic Bipartite Graphs
Ankur Sahai
This paper analyzes the problem of assigning weights to edges incrementally in a dynamic complete bipartite graph consisting of producer and consumer nodes. The objective is to min…