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LSRAM: A Lightweight Autoscaling and SLO Resource Allocation Framework for Microservices Based on Gradient Descent
Journal article
Hu, Kan, Xu, Minxian, Ye, Kejiang, Xu, Chengzhong. LSRAM: A Lightweight Autoscaling and SLO Resource Allocation Framework for Microservices Based on Gradient Descent[J]. Software - Practice and Experience, 2024.
Authors:
Hu, Kan
;
Xu, Minxian
;
Ye, Kejiang
;
Xu, Chengzhong
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
IF:
2.6
/
2.5
|
Submit date:2024/12/26
Gradient Descent
Lightweight
Microservices
Resource Autoscaling
Slo Allocation
Optimizing Resource Management for Shared Microservices: A Scalable System Design
Journal article
Luo, Shutian, Lin, Chenyu, Ye, Kejiang, Xu, Guoyao, Zhang, Liping, Yang, Guodong, Xu, Huanle, Xu, Chengzhong. Optimizing Resource Management for Shared Microservices: A Scalable System Design[J]. ACM Transactions on Computer Systems, 2024, 42(1-2).
Authors:
Luo, Shutian
;
Lin, Chenyu
;
Ye, Kejiang
;
Xu, Guoyao
;
Zhang, Liping
; et al.
Favorite
|
TC[WOS]:
3
TC[Scopus]:
5
IF:
2.0
/
2.6
|
Submit date:2024/06/05
Additional Key Words And Phrasesshared Microservices
Resource Management
Sla Guarantees
PERT-GNN: Latency Prediction for Microservice-based Cloud-Native Applications via Graph Neural Networks
Conference paper
Da Sun Handason Tam, Yang Liu, Huanle Xu, Siyue Xie, Wing Cheong Lau. PERT-GNN: Latency Prediction for Microservice-based Cloud-Native Applications via Graph Neural Networks[C], 2023, 2155 - 2165.
Authors:
Da Sun Handason Tam
;
Yang Liu
;
Huanle Xu
;
Siyue Xie
;
Wing Cheong Lau
Favorite
|
TC[WOS]:
3
TC[Scopus]:
7
|
Submit date:2023/07/30
Delay Prediction
Microservices
Cloud Computing
Graph Neural Networks
Graph Transformers
Machine Learning
Erms: Efficient Resource Management for Shared Microservices with SLA Guarantees
Conference paper
Shutian Luo, Huanle Xu, Kejiang Ye, Guoyao Xu, Liping Zhang, Jian He, Guodong Yang, Chengzhong Xu. Erms: Efficient Resource Management for Shared Microservices with SLA Guarantees[C]. Aamodt T.M., Jerger N.E., Swift M., New York:Association for Computing Machinery, 2022, 62-77.
Authors:
Shutian Luo
;
Huanle Xu
;
Kejiang Ye
;
Guoyao Xu
;
Liping Zhang
; et al.
Favorite
|
TC[WOS]:
27
TC[Scopus]:
29
|
Submit date:2022/08/26
Resource Management
Shared Microservices
Sla Guarantees
CoScal: Multifaceted Scaling of Microservices With Reinforcement Learning
Journal article
Minxian, Xu, Chenghao, Song, Shashikant, Ilager, Sukhpal Singh, Gill, Juanjuan, Zhao, Kejiang, Ye, Chengzhong, Xu. CoScal: Multifaceted Scaling of Microservices With Reinforcement Learning[J]. IEEE Transactions on Network and Service Management, 2022, 19(4), 3995-4009.
Authors:
Minxian, Xu
;
Chenghao, Song
;
Shashikant, Ilager
;
Sukhpal Singh, Gill
;
Juanjuan, Zhao
; et al.
Favorite
|
TC[WOS]:
29
TC[Scopus]:
39
IF:
4.7
/
4.6
|
Submit date:2023/08/07
Cloud Computing
Workload Prediction
Microservices
Reinforcement Learning
Brownout
Scalability
The Power of Prediction: Microservice Auto Scaling via Workload Learning
Conference paper
Luo, Shutian, Xu, Huanle, Ye, Kejiang, Xu, Guoyao, Zhang, Liping, Yang, Guodong, Xu, Chengzhong. The Power of Prediction: Microservice Auto Scaling via Workload Learning[C]:Association for Computing Machinery, Inc, 2022, 355-369.
Authors:
Luo, Shutian
;
Xu, Huanle
;
Ye, Kejiang
;
Xu, Guoyao
;
Zhang, Liping
; et al.
Favorite
|
TC[WOS]:
28
TC[Scopus]:
47
|
Submit date:2023/01/31
Microservices
Proactive Auto-scaler
Workload Uncertainty Learning
CoScal: Multi-faceted Scaling of Microservices with Reinforcement Learning
Journal article
Xu, Minxian, Song, Chenghao, Ilager, Shashikant, Gill, Sukhpal Singh, Zhao, Juanjuan, Ye, Kejiang, Xu, Chengzhong. CoScal: Multi-faceted Scaling of Microservices with Reinforcement Learning[J]. IEEE Transactions on Network and Service Management, 2022, 19(4), 3995 - 4009.
Authors:
Xu, Minxian
;
Song, Chenghao
;
Ilager, Shashikant
;
Gill, Sukhpal Singh
;
Zhao, Juanjuan
; et al.
Favorite
|
TC[WOS]:
29
TC[Scopus]:
39
IF:
4.7
/
4.6
|
Submit date:2023/01/30
Cloud Computing
Workload Prediction
Microservices
Reinforcement Learning
Brownout
Scalability