Title: Enhancement of Auto Scaling and Load Balancing using AWS


Volume 9 Issue 2 Year 2019

Authors:

Mohit Gaur

mohit_gaur1890@yahoo.com
Department of Computer Science & Engineering, Swami Keshvanand Institute of Technology, Management & Gramothan Jaipur-302017, (INDIA),

Ankit kumar

ijskit@skit.ac.in
Department of Computer Science & Engineering, Swami Keshvanand Institute of Technology, Management & Gramothan Jaipur-302017, (INDIA),

Pankaj Dadheech

pankaj@skit.ac.in
Department of Computer Science & Engineering, Swami Keshvanand Institute of Technology, Management & Gramothan Jaipur-302017, (INDIA)

Pages: 22-27


Abstract:

As the use of the internet is increasing the
corporate migrating their business from traditional
computing to cloud computing and thus the number
of the user is increasing on cloud & load is also
increasing. Thus to provide congestion-free and
reliable on-demand service to client load balancing
method is needed. Many algorithms are proposed for
load balancing & auto-scaling to handle the load .we
can use cloud service to make load efficient model in
the cloud environment. This load efficient model will
provide the load balancing, scaling capabilities and
monitoring of solutions in the cloud environment. To
achieve the above mentioned, we use public cloud
services such as amazon’s EC2, ELB. This research is
divided into four parts such as load balancing, auto-
scaling, latency based routing, resource monitoring.
We will implement the individual service and test
while providing load from external software tool Putty
and we will produce the result for efficient load
balancing.

Keywords:
Load Balancing, EC2, Resource Monitoring, Load Optimization, Web Server