11 citations · 24 across the 26 of their papers we have counts for
8 papers · 1 filter
SpeedMalloc: Improving Multi-threaded Applications via a Lightweight Core for Memory Allocation
Ruihao Li, Qinzhe Wu, Krishna Kavi +4
Memory allocation, though constituting only a small portion of the executed code, can have a "butterfly effect" on overall program performance, leading to significant and far-reach…
Shabari: Delayed Decision-Making for Faster and Efficient Serverless Functions
Prasoon Sinha, Kostis Kaffes, Neeraja J. Yadwadkar
Serverless computing relieves developers from the burden of resource management, thus providing ease-of-use to the users and the opportunity to optimize resource utilization for th…
Dirigo: Self-scaling Stateful Actors For Serverless Real-time Data Processing
Le Xu, Divyanshu Saxena, Neeraja J. Yadwadkar +2
We propose Dirigo, a distributed stream processing service built atop virtual actors. Dirigo achieves both a high level of resource efficiency and performance isolation driven by u…
Sidecars on the Central Lane: Impact of Network Proxies on Microservices
Prateek Sahu, Lucy Zheng, Marco Bueso +3
Cloud applications are moving away from monolithic model towards loosely-coupled microservices designs. Service meshes are widely used for implementing microservices applications m…
Practical Scheduling for Real-World Serverless Computing
Kostis Kaffes, Neeraja J. Yadwadkar, Christos Kozyrakis
Serverless computing has seen rapid growth due to the ease-of-use and cost-efficiency it provides. However, function scheduling, a critical component of serverless systems, has bee…
Faa$T: A Transparent Auto-Scaling Cache for Serverless Applications
Francisco Romero, Gohar Irfan Chaudhry, Íñigo Goiri +6
Function-as-a-Service (FaaS) has become an increasingly popular way for users to deploy their applications without the burden of managing the underlying infrastructure. However, ex…
Llama: A Heterogeneous & Serverless Framework for Auto-Tuning Video Analytics Pipelines
Francisco Romero, Mark Zhao, Neeraja J. Yadwadkar +1
The proliferation of camera-enabled devices and large video repositories has led to a diverse set of video analytics applications. These applications rely on video pipelines, repre…
INFaaS: A Model-less and Managed Inference Serving System
Francisco Romero, Qian Li, Neeraja J. Yadwadkar +1
Despite existing work in machine learning inference serving, ease-of-use and cost efficiency remain challenges at large scales. Developers must manually search through thousands of…