A Survey on various Auto-scaling mechanism in cloud environment

  Aayushi Chaudhari,  Prof. Gayatree Pandi

Cloud Computing is emerging technology nowadays. Scalability is an important aspect in cloud computing especially, when the demands of user changes abruptly. Auto-scaling is the strategy that has ability to adjust the available resources to meet the user demands. As the popularity and usage of cloud computing has increased, it leads to highly unpredictable demands of users. One major issue about providing automatic scalability is that it considers user-defined threshold, which cannot respond to real time internet traffic loads. In this paper a model is proposed which includes scaling of resources by means of infrastructure as a code. This mechanism will dynamically create the high level language code to automate provisioning of resources based on availability of existing resources and user demands. Based on the code generated, the virtual machines will shrink or expand.

Keywords- Bayesian Network, Auto-Scaling, Cloud Watch, Auto-scaling Demand Index, Hidden Markov Model

Unique Identification Number - IJEDR1604078
Page Number(s) - 541-545
Pubished in - Volume 4 | Issue 4 | November 2016
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Aayushi Chaudhari,  Prof. Gayatree Pandi,   "A Survey on various Auto-scaling mechanism in cloud environment", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 4, pp.541-545, November 2016, Available at :http://www.ijedr.org/papers/IJEDR1604078.pdf