Auto-scaling Applications in Edge Computing

Author:

Taherizadeh Salman1,Stankovski Vlado1

Affiliation:

1. University of Ljubljana, Ljubljana, Slovenia

Funder

European Commission

European Commission 2

Publisher

ACM Press

Reference19 articles.

1. Farokhi, S., Jamshidi, P., Lucanin, D., and Brandic, I. 2015. Performance-based Vertical Memory Elasticity. In Proceedings of 2015 IEEE International Conference on Autonomic Computing (ICAC). Washington, 151--152.

2. Naskos, A., Stachtiari, E., Gounaris, A., Katsaros, P., Tsoumakos, D., Konstantinou, I., and Sioutas, S. 2015. Dependable horizontal scaling based on probabilistic model checking. In Proceedings of 15th IEEE International Symposium on Cluster, Cloud and Grid Computing (CCGrid). Shenzhen, China, 31--40.

3. Chen, T. and Bahsoon, R. 2016. Survey and taxonomy of self-aware and self-adaptive autoscaling systems in the cloud. arXiv preprint. arXiv:1609.03590.

4. Qu, C., Calheiros, R.N., and Buyya, R. 2016. Auto-scaling web applications in clouds: a taxonomy and survey. ACM Computing Survey, 1--35.

5. Alipour, H., Liu, Y., and Hamou-Lhadj, A. 2014. Analyzing auto-scaling issues in cloud environments. In Proceedings of 24th Annual International Conference on Computer Science and Software Engineering (CASCON '14). Ontario, 75--89.

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