FlowBench: An Edge Computing Benchmark System
Tarun Chinthakindi
Actively Seeking 2025 Full-time Opportunities |Java(Spring Boot), MERN, Go, Distributed Systems, Python
Have you ever used AWS Lambda for serverless computing and FaaS? Have you wondered how open-source technologies like OpenFaaS can create a custom Function as a Service platform?
This summer, I had the incredible opportunity to work on a "FlowBench: An Edge Computing Benchmark Utilizing Edge Workflows" research project. Collaborating with Alexander Schultz , Harshit Sharma , and Raghav Tiruvallur under the guidance of Prof. Ming Zhao has been an enriching experience.
Our project explores how FaaS can help application developers and researchers better understand the design choices of edge applications and systems. We introduce FlowBench, a workflow-based benchmark for edge computing that automates the deployment of functions and their control flow logic.
Highlights from our project:
FlowBench is highly customizable to different edge scenarios and effectively discovers performance bottlenecks in edge workloads and systems. Our contributions include designing FlowBench, providing workflows representing modern edge applications, and offering insights for potential improvements.
I am grateful for this opportunity to delve into cutting-edge research and contribute to the field of edge computing. I look forward to connecting with fellow researchers and professionals interested in this exciting area!
Technologies used: Python(Flask), OpenFaaS, Docker, Kubernetes, Prometheus
#EdgeComputing #Serverless #OpenSource #Research #OpenFaaS #FlowBench #ComputerScience
Masters in Computer Science @ASU / Actively looking for Full Times/ Ex Full Stack Developer at Infor | Angular, Spring, React, AWS, Flask, Java, Python, Cloud Computing,Distributed Systems, Machine Learning.
2 周Excellent work ??
SDE Intern @ Zymo Research | MS CS @ ASU | IIIT-H
8 个月Nice work