IJIRIS: International Journal of Innovative Research in Information Security E-ISSN: 2349-7017 Volume 10, Issue 04, May 2024 P-ISSN: 2349-7009 https://www.ijiris.com/archives ____________________________________________________________________________________________ IJIRIS © 2014-24, AM Publications -All Rights Reserved https://doi.org/10.26562/ijiris Page-162 Load Balancing using Genetic Algorithm with Cloud SIM Simulator in Open Source Rashmi TV Assistant Professor, Dept of CSE East Point College of Engineering and Technology, Bengaluru, Karnataka, INDIA rashmi.tv@eastpoint.ac.in Kavya V Department of Computer Science Engineering East Point College of Engineering and Technology, Bengaluru, Karnataka, INDIA kavyakrupa777@gmail.com Deepthi V Department of Computer Science Engineering East Point College of Engineering and Technology, Bengaluru, Karnataka, INDIA Deepthiv028@gmail.com Konuri Nagalakshmi Department of Computer Science Engineering East Point College of Engineering and Technology, Bengaluru, Karnataka, INDIA konurinagalakshmi@gmail.com Publication History Manuscript Reference No: IJIRIS/RS/Vol.10/Issue04/MYIS10087 Research Article | Open Access | Double-Blind Peer-Reviewed | Article ID: IJIRIS/RS/Vol.10/Issue04/MYIS10087 Received: 07, April 2024|Revised:16, April 2024 | Accepted: 27, April 2024 Published Online: 07, May 2024 Volume 2024 Article ID MYIS10087 http://www.ijiris.com/volumes/Vol10/iss-04/08.MYIS10087.pdf Article Citation: Rashmi,Kavya,Deepthi,Konuri(2024). Load Balancing using Genetic Algorithm with Cloud SIM Simulator in Open Source. International Journal of Innovative Research in Information Security,Volume 10, Issue 03, Pages 162-167 doi:> https://doi.org/10.26562/ijiris.2024.v1004.08 BibTex key: Rashmi@2024Load Copyright: ©2024 This is an open access article distributed under the terms of the Creative Commons Attribution License; which Permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Abstract: Clouds are highly configurable infrastructure that offer software and platforms as a service, enabling users to subscribe for the services they need using a pay-as-you-go model. The popularity of cloud computing is growing due to its straightforward, service-oriented architecture. Every day, more and more people are using the cloud. Cloud computing is typically built on data centres with the capacity to support huge numbers of users. The ability of clouds to manage loads determines how reliable they are in order to address this issue; clouds need to include a load balancing system. In cloud computing, load balancing will help clouds become more capable and reliable by boosting their capacity. Keywords: Load balancing, Cloud Computing, software and platforms as a service, data centre, service-oriented architecture. I. INTRODUCTION Platform-as-a-service (PaaS), Infrastructure-as-a-service (IaaS), and Software-as-a-service (SaaS) come together to make cloud computing. Another name for it is XaaS, which stands for anything as a service. Since it offers hardware and network facilities to the user, as Infrastructure as a Service (IaaS), the user installs or creates its own operating system, software, and applications. Cloud computing provides a ready-made application in addition to the necessary hardware, software, operating system, and network infrastructure. End users receive OS, Hardware, and Network resources as part of PaaS, and they are responsible for installing or developing their own apps. Assume Google's primary server is located in China. However, as Google's servers are located all over the world in China, Japan, the UK, and other countries—users accessing Google services from India may have a significantly slower response time than users accessing services from China if the main server is located in China. Replicated Google servers are positioned throughout all of these nations in order to get around this large response time. As a result, instead of using the Google server in China, users in India will be able to access Google services through a duplicate Google server located there. In India, there may also be numerous mirrored servers, for example, in Delhi, Mumbai, and so forth. Response time will therefore be significantly reduced. We refer to this entire system as the cloud.