A Survey on Cloud Computing Elasticity
By Guilherme Galante, Luis Carlos Erpen De Bona. 2012 IEEE Fifth International Conference on Utility and Cloud Computing, 2012
310 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Hardware and Architecture, Information Systems
View Paper: https://www.semanticscholar.org/paper/191a766b54514405bfd0d4b1e1c592390c84010f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Yahya Al-Dhuraibi
- Henry Shu-Hung Chung
- Zhi-hui Zhan
- Jun Zhang
- Xiao Fang Liu
- Yue-jiao Gong
- Nabil Bachir Djarallah
- Fawaz Paraiso
In Hardware and Architecture
In Information Systems
- Yahya Al-Dhuraibi
- Henry Shu-Hung Chung
- Zhi-hui Zhan
- Jun Zhang
- Xiao Fang Liu
- Yue-jiao Gong
- Nabil Bachir Djarallah
- Fawaz Paraiso
Citations in the corpus
- Cloud Computing Resource Scheduling and a Survey of Its Evolutionary Approaches (2015, methodology): “Such a chromosome coding scheme was also later used by Kumar and Verma [2012], Gan et al. [2010], and Ge and Yuan [2013].”
- Elasticity in Cloud Computing: State of the Art and Research Challenges (2018, background): “[4] is an old survey, it proposes a basic classification for elasticity solutions based on only four characteristics: scope, policy, purpose and method.”
- Predicting Cloud Resource Utilization (2016, background): “Resource provisioning approaches can be categorized into predictive and reactive strategies [8].”