Tem- poral performance models are especially of importance in serverless computing platforms due to their sporadic and highly-dynamic environments for which steady-state per- formance models could be rendered obsolete to ensure the performance metrics remain within acceptable ranges.
Jan 4, 2021 · In this work, we propose an analytical performance model that is capable of predicting several key performance metrics for serverless workloads ...
In this work, we propose an analytical performance model that is capable of predicting several key performance metrics for serverless workloads using only their ...
The performance model presented in our work is capable of predicting several key performance indicators of serverless computing platforms, while maintaining ...
Aug 18, 2024 · In this work, we propose an analytical performance model that captures the unique details of serverless platforms. The model can be leveraged to ...
In previous studies, temporal and steady- state performance models for serverless computing platforms have been developed. 102. Page 122. However, those ...
Temporal Performance Modelling of Serverless Computing Platforms. N Mahmoudi, H Khazaei. Proceedings of the 2020 Sixth International Workshop on Serverless ...
Using this simulator, we can calculate Quality of Service (QoS) metrics like average response time, the average probability of cold start, average running ...
Duration: 1:01
Posted: Nov 25, 2020
Posted: Nov 25, 2020
Nov 29, 2020 · This presentation is an overview of the "Temporal Performance Modeling of Serverless Computing Platforms" paper published in Sixth ...