Multi-step Prediction of Worker Resource Usage at the Extreme Edge-Reference-Cited by-同舟云学术

Multi-step Prediction of Worker Resource Usage at the Extreme Edge

Published:2022-10-24 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems on International Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems
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Author:

Kain Ruslan¹,Elsayed Sara A.¹,Chen Yuanzhu¹,Hassanein Hossam S.¹

Affiliation:

1. Queen's University, Kingston, Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3551659.3559051

Reference26 articles.

1. Ibrahim M. Amer and Sameh Sorour. 2022 . Cost-based Compute Cluster Formation in Edge Computing. 2022 IEEE International Conference on Communications (ICC): IoT and Sensor Networks Symposium, IEEE ICC'22 - IoTSN Symposium. Ibrahim M. Amer and Sameh Sorour. 2022. Cost-based Compute Cluster Formation in Edge Computing. 2022 IEEE International Conference on Communications (ICC): IoT and Sensor Networks Symposium, IEEE ICC'22 - IoTSN Symposium.

2. Inference in Hidden Markov Models with Explicit State Duration Distributions

3. Challenges of Using Edge Devices in IoT Computation Grids

4. Rawan F. El Khatib , Sara A. Elsayed , Nizar Zorba , and Hossam S. Hassanein . 2022. Optimal Proactive Resource Allocation at the Extreme Edge . 2022 IEEE International Conference on Communications (ICC): IoT and Sensor Networks Symposium, IEEE ICC'22 - IoTSN Symposium. Rawan F. El Khatib, Sara A. Elsayed, Nizar Zorba, and Hossam S. Hassanein. 2022. Optimal Proactive Resource Allocation at the Extreme Edge. 2022 IEEE International Conference on Communications (ICC): IoT and Sensor Networks Symposium, IEEE ICC'22 - IoTSN Symposium.

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