Predictive function placement for distributed serverless environments
Author:
Affiliation:
1. Universität Berlin,Service-Centric Networking Technische,Berlin,Germany
2. Technische Universität Berlin,Berlin,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9758112/9758086/09758140.pdf?arnumber=9758140
Reference19 articles.
1. SAND: Towards high-performance serverless computing;akkus;2018 USENIX Annual Technical Conference (USENIX ATC 18),0
2. Optimizing serverless computing: Introducing an adaptive function placement algorithm;mahmoudi;Proceedings of the 29th Annual International Conference on Computer Science and Software Engineering,0
3. A New Approach to Linear Filtering and Prediction Problems
4. Self-adaptive and self-configured CPU resource provisioning for virtualized servers using Kalman filters
5. Application-Level CPU Consumption Estimation: Towards Performance Isolation of Multi-tenancy Web Applications
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Latency-Sensitive Function Placement among Heterogeneous Nodes in Serverless Computing;Sensors;2024-06-27
2. Deadline Sensitive And Function Placement In Multi-tier Serverless Platform;2023 International Conference on IT and Industrial Technologies (ICIT);2023-10-09
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