CLOUDSYS: Cloud Systems Lab
CLOUDSys: Cloud Systems Lab
Department of Computer Science, University of Texas at San Antonio
Lab PI: Palden Lama, (palden.lama [at] utsa.edu).
NSF CNS Core: Small: Robust Performance Guarantee of Containerized Microservices in the Cloud
Large-scale web services such as Netflix and Spotify are increasingly built with many small modular components (microservices), which can be deployed, updated and scaled seamlessly. These microservices are packaged to run in lightweight and isolated execution environment (containers) and deployed on compute resources rented from cloud providers. However, the complexity of many moving parts with complex interactions and the contention of shared hardware resources in cloud datacenters pose significant challenges in managing web service performance. This project will develop novel performance models and resource management solutions that can enable cloud platforms to provide robust performance guarantee for large-scale web services.
Sponsors:
Participants:
- Palden Lama, PI, Department of Computer Science, UTSA
- Peng Kang, Ph.D. student, Department of Computer Science, UTSA
- Xue Li, Ph.D. student, Department of Computer Science, UTSA
- Shahzaib Zaveri, Undergraduate research assistant, Department of Computer Science, UTSA
- Jordan Molone, Undergraduate research assistant, Department of Computer Science, UTSA
Products:
- Peng Kang, Palden Lama and Samee U. Khan SLO-aware Virtual Rebalancing for Edge Stream Processing, Proc. of the 9th IEEE International Conference on Cloud Engineering (IC2E), 10 pages, 10 pages, Virtual, October 2021.
[PDF]
- Peng Kang and Palden Lama, Robust Resource Scaling of Containerized Microservices with Probabilistic Machine Learning, Proc. of the 13th IEEE/ACM International Conference on Utility and Cloud Computing (UCC), 10 pages, Leicester, UK, December 2020.
[PDF]
- Peng Kang and Palden Lama, Robust performance modeling of containerized microservices with Probabilistic Machine learning , In UTSA Computer Science Research Showcase 2019 and UTSA AI Summit 2019, San Antonio, TX.
[PDF]