6 citations · 10 across the 6 of their papers we have counts for
5 papers · 1 filter
Cocktail: Leveraging Ensemble Learning for Optimized Model Serving in Public Cloud
Jashwant Raj Gunasekaran, Cyan Subhra Mishra, Prashanth Thinakaran +2
With a growing demand for adopting ML models for a varietyof application services, it is vital that the frameworks servingthese models are capable of delivering highly accurate pre…
CASH: A Credit Aware Scheduling for Public Cloud Platforms
Aakash Sharma, Saravanan Dhakshinamurthy, George Kesidis +1
The public cloud offers a myriad of services which allows its tenants to process large scale big data in a flexible, easy and cost effective manner. Tenants generally use large sca…
Fifer: Tackling Underutilization in the Serverless Era
Jashwant Raj Gunasekaran, Prashanth Thinakaran, Nachiappan Chidambaram +2
Datacenters are witnessing a rapid surge in the adoption of serverless functions for microservices-based applications. A vast majority of these microservices typically span less th…
Towards Designing a Self-Managed Machine Learning Inference Serving System inPublic Cloud
Jashwant Raj Gunasekaran, Prashanth Thinakaran, Cyan Subhra Mishra +2
We are witnessing an increasing trend towardsusing Machine Learning (ML) based prediction systems, span-ning across different application domains, including productrecommendation s…
Multiverse: Dynamic VM Provisioning for Virtualized High Performance Computing Clusters
Jashwant Raj Gunasekaran, Michael Cui, Prashanth Thinakaran +3
Traditionally, HPC workloads have been deployed in bare-metal clusters; but the advances in virtualization have led the pathway for these workloads to be deployed in virtualized cl…