Swayam-Reference-Cited by-同舟云学术

Swayam

Published:2017-12-11 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 18th ACM/IFIP/USENIX Middleware Conference
language:
Short-container-title:

Author:

Gujarati Arpan¹,Elnikety Sameh²,He Yuxiong²,McKinley Kathryn S.³,Brandenburg Björn B.¹

Affiliation:

1. MPI-SWS, Germany

2. MSR

3. Google, Inc.

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3135974.3135993

Reference31 articles.

1. 2017. Amazon Machine Learning - Predictive Analytics with AWS. (2017). https://aws.amazon.com/machine-learning/ 2017. Amazon Machine Learning - Predictive Analytics with AWS. (2017). https://aws.amazon.com/machine-learning/

2. 2017. Google Cloud Prediction API Documentation. (2017). https://cloud.google.com/prediction/docs/ 2017. Google Cloud Prediction API Documentation. (2017). https://cloud.google.com/prediction/docs/

3. 2017. Instance-based learning. (2017). https://en.wikipedia.org/wiki/Instance-based_learning 2017. Instance-based learning. (2017). https://en.wikipedia.org/wiki/Instance-based_learning

4. 2017. Machine Learning - Predictive Analytics with Microsoft Azure. (2017). https://azure.microsoft.com/en-us/services/machine-learning/ 2017. Machine Learning - Predictive Analytics with Microsoft Azure. (2017). https://azure.microsoft.com/en-us/services/machine-learning/

Cited by 78 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. ProKube: Proactive Kubernetes Orchestrator for Inference in Heterogeneous Edge Computing;International Journal of Network Management;2024-08-18

2. Latency-Guaranteed Co-Location of Inference and Training for Reducing Data Center Expenses;2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS);2024-07-23

3. On the Analysis of Inter-Relationship between Auto-Scaling Policy and QoS of FaaS Workloads;Sensors;2024-06-10

4. Vertically Autoscaling Monolithic Applications with CaaSPER: Scalable C ontainer- a s- a - S ervice P erformance E nhanced R esizing Algorithm for the Cloud;Companion of the 2024 International Conference on Management of Data;2024-06-09

5. Loki: A System for Serving ML Inference Pipelines with Hardware and Accuracy Scaling;Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing;2024-06-03