For the latest research, please visit the LLAMAS Lab
Below are past research projects
For the latest research, please visit the LLAMAS Lab
Below are past research projects
VIVA and Zelda
An end-to-end system for interactive video analytics.
[Publication (vision)] [Publication (full)] [Preprint]
Llama
A heterogeneous and serverless framework for auto-tuning video pipelines.
Faa$T
A transparent auto-scaling distributed cache for serverless applications. Faa$T's design is motivated by a comprehensive study of data access patterns in Azure Functions. This project was in collaboration with Microsoft Research. A version of Faa$T is available in production Azure Functions.
INFaaS
An inference-as-a-service system that abstracts resource management and model selection from users.
[Publication (full)] [Publication (system vision)] [Publication (scheduler vision)]
gg
A highly-scalable, function-as-a-service orchestration management framework for applications that are normally run on a laptop or on a cluster that can stay idle for long periods of time (e.g., video encoding and compilation).
[Publication] [Github Repository]
Mage
An interference-aware runtime that optimizes performance and efficiency in systems with intra- and inter-server heterogeneity.