A Regression-Based Analytic Model for Dynamic Resource Provisioning of Multi-Tier Applications
By Qi Zhang, L. Cherkasova, Evgenia Smirni. International Conference on Automation and Computing, 2007
310 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Information Systems, Management Information Systems
View Paper: https://www.semanticscholar.org/paper/2498644b120efc708e253b3ae9fbb5abba062d50
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
- Marty A. Humphrey
- Ming Mao
- José Miguel-Alonso
- Yahya Al-Dhuraibi
- Tania Lorido-Botran
- José Antonio Lozano
- Raouf Boutaba
- Lu Cheng
In Information Systems
- Marty A. Humphrey
- Ming Mao
- José Miguel-Alonso
- Yahya Al-Dhuraibi
- Tania Lorido-Botran
- José Antonio Lozano
- Raouf Boutaba
- Lu Cheng
In Management Information Systems
Citations in the corpus
- Cloud computing: state-of-the-art and research challenges (2010, background): “Dynamic resource provisioning for Internet applications has been studied extensively in the past [47, 57].”
- Auto-scaling to minimize cost and meet application deadlines in cloud workflows (2011, background): “The first category is dynamic resource provisioning in virtualized environments (e.g., [4] [11]).”
- A Review of Auto-scaling Techniques for Elastic Applications in Cloud Environments (2014, methodology): “E-commerce website (2001) + Synthetic traces Custom simulator (MonteCarlo) [89] QT + Regression (Predict CPU load) - All Number and type of transactions (requests) Synthetic (browsing, ordering and shopping) Custom simulator, based on C++Sim.”
- Elasticity in Cloud Computing: State of the Art and Research Challenges (2018, methodology): “[55], [57], [103], [59] use queuing theory in reactive mode while [103], [114], [115], [116], [117] adhere to the queuing theory principles in predictive mode.”