An reinforcement learning approach for allocating software resources-Reference-Cited by-同舟云学术

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An reinforcement learning approach for allocating software resources

Published:2021-05-10 Issue: Volume: Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Yin Xiaojing¹²^ORCID,Huang Jiwei³^ORCID,Liu Lei¹²,He Wei¹²,Cui Lizhen¹²^ORCID

Affiliation:

1. School of Software Shandong University Jinan China

2. Joint SDU‐NTU Centre for Artificial Intelligence Research (C‐FAIR) Shandong University Jinan China

3. Beijing Key Laboratory of Petroleum Data Mining China University of Petroleum ‐ Beijing Beijing China

Funder

National Natural Science Foundation of China

National Basic Research Program of China

Natural Science Foundation of Beijing Municipality

Beijing Nova Program

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.6349

Reference27 articles.

1. ArumugamRV XuQ ShiH CaiQ WenY. Virt cache: managing virtual disk performance variation in distributed file systems for the cloud. Paper presented at: Proceedings of the 2014 IEEE 6th International Conference on Cloud Computing Technology and Science Singapore;2014:210‐217.

2. WangQ MalkowskiS KanemasaY et al. The impact of soft resource allocation on n‐tier application scalability. Paper presented at: Proceedings of the 2011 IEEE International Parallel & Distributed Processing Symposium Anchorage Alaska USA;2011:1034‐1045.

3. ShiY HuangJ ZhaoX LiuL LiuS CuiL. Integrating theoretical modeling and experimental measurement for soft resource allocation in multi‐tier web systems. Paper presented at: Proceedings of the 2016 IEEE International Conference on Web Services (ICWS) San Francisco CA USA;2016:522‐529.

4. RUBiS: rice university bidding system; 2001. https://svnlegacy.ow2.org/rubis/trunk/PHP/index.html.

5. YinX HuangJ LiuL HeW CuiL. An iterative feedback mechanism for auto‐optimizing software resource allocation in multi‐tier web systems;2020:802‐809.

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