123 citations · 443 across the 21 of their papers we have counts for
5 papers · 1 filter
Low-Level Augmented Bayesian Optimization for Finding the Best Cloud VM
Chin-Jung Hsu, Vivek Nair, Vincent W. Freeh +1
With the advent of big data applications, which tends to have longer execution time, choosing the right cloud VM to run these applications has significant performance as well as ec…
FLASH: A Faster Optimizer for SBSE Tasks
Vivek Nair, Zhe Yu, Tim Menzies
Most problems in search-based software engineering involve balancing conflicting objectives. Prior approaches to this task have required a large number of evaluations- making them…
Using Bad Learners to find Good Configurations
Vivek Nair, Tim Menzies, Norbert Siegmund +1
Finding the optimally performing configuration of a software system for a given setting is often challenging. Recent approaches address this challenge by learning performance model…
Faster Discovery of Faster System Configurations with Spectral Learning
Vivek Nair, Tim Menzies, Norbert Siegmund +1
Despite the huge spread and economical importance of configurable software systems, there is unsatisfactory support in utilizing the full potential of these systems with respect to…
Beyond Evolutionary Algorithms for Search-based Software Engineering
Jianfeng Chen, Vivek Nair, Tim Menzies
Context: Evolutionary algorithms typically require a large number of evaluations (of solutions) to converge - which can be very slow and expensive to evaluate.Objective: To solve s…