Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Krishna Sowjanya, K.; Bindu Madavi, K.P.; Khater, Gaurav; Jacob, Aaron; Ahmad, Emaduddin Shamim Title A name given to the resource Dynamic Load Balancing in Cloud Computing Using Memetic Algorithm for Better Response Time Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Proceedings of 2025 IEEE International Conference on Contemporary Computing and Communications, InC4 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/InC465408.2025.11256447" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/InC465408.2025.11256447</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105030337115?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105030337115?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Krishna Sowjanya K., CMR Institute of Technology, Dept. of CSE, Karnataka, Bengaluru, India; Bindu Madavi K.P., Christ University, Dept. of Computer Science and Engineering, Karnataka, Bengaluru, India; Khater G., CMR Institute of Technology, Dept. of CSE, Karnataka, Bengaluru, India; Jacob A., CMR Institute of Technology, Dept. of CSE, Karnataka, Bengaluru, India; Ahmad E.S., CMR Institute of Technology, Dept. of CSE, Karnataka, Bengaluru, India Description An account of the resource Load balancing is a critical aspect of distributed computing systems, involving the distribution of workload across multiple resources to ensure optimal utilization and performance. In today's digital landscape, where the demand for online services continues to grow exponentially, efficient load balancing mechanisms are indispensable for maintaining high availability, scalability, and reliability of web applications, cloud services, and network infrastructures. The paper implements a load balancing solution using a Memetic Algorithm, an amalgamated optimization method that integrates elements of genetic algorithms with local search methods. By leveraging the principles of evolutionary computation and problem-specific knowledge, memetic algorithms offer a promising approach to addressing the complex optimization and the hurdles connected with the load distribution across the systems. The proposed algorithm is compared with the existing algorithms and proved to be slightly better than the traditional algorithm in terms of response time. Experimental results show that the proposed approach reduces response time by 0.26 seconds. 2025 IEEE. Subject The topic of the resource Cloud Computing; Load Balancing; Memetic Algorithm Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833152118-9; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online