The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Using genetic algorithm for load balancing in cloud computing
Abstract
Cloud Computing is set of resources available on pay per use model. The User requests on cloud for the services which is increasing day by day and for the better performance it should be balanced such that all the requests should be answered in minimum time. Therefore, Load Balancing is required and it is one of the major Issues in Cloud Computing. Moreover, it is termed as Load Balancing is NP-Complete Problem because as the number of request increases, balancing the load becomes tougher. This paper gives a genetic algorithm (GA) based approach for load balancing in cloud. For population initialization, priority of request is considered based on their time. The idea behind the considering the priority is to get real world visualization. In Real World Scenario requests have some priorities which we can used for our Algorithm. Simulation of the proposed method is done using Cloud Analyst. Simulation Results shows that proposed method performs well then existing once with some real world picture.
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“Techniques like Genetic Algorithm (GA) [99] are also used for LB.”
From Energy efficiency in cloud computing data centers: a survey on software technologies (2023) · cites this paper as [99]
Citations
Cites
A Genetic Algorithm (GA) based Load Balancing Strategy for Cloud Computing
Dasgupta, K., Mandal, B., Dutta, P., Mandal, J. K., & Dam, S. (2013) · Procedia Technology · doi:10.1016/j.protcy.2013.12.369 · Cited by 392
Introduction to Genetic Algorithm
Dutta, P., Pal, S., Kumar, A. R., & Cengiz, K. (2023) · Chapman & Hall/CRC eBooks · doi:10.1201/9781003216001-5 · Cited by 308
Load Balancing Task Scheduling Based on Genetic Algorithm in Cloud Computing
Wang, T., Liu, Z., Chen, Y., Xu, Y., & Dai, X. (2014) · IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) · doi:10.1109/dasc.2014.35 · Cited by 147
A New Resource Scheduling Strategy Based on Genetic Algorithm in Cloud Computing Environment
Gu, J., Jin-hua, H., Zhao, T., & Sun, G. (2012) · Journal of Computers · doi:10.4304/jcp.7.1.42-52 · Cited by 145
Hybrid Job Scheduling Algorithm for Cloud Computing Environment
Javanmardi, S., Shojafar, M., Amendola, D., Cordeschi, N., Liu, H., & Abraham, A. (2014) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-08156-4_5 · Cited by 95
Dam, S., Mandal, G., Dasgupta, K., & Dutta, P. (2015) · International Conference on Computer, Communication, Control and Information Technology · doi:10.1109/c3it.2015.7060176 · Cited by 76
Priority based dynamic resource allocation in Cloud computing with modified waiting queue
Pawar, C. S., & Wagh, R. B. (2013) · International Conference on Intelligent Systems and Signal Processing (ISSP) · doi:10.1109/issp.2013.6526925 · Cited by 51
Pilavare, M. S., & Desai, A. (2015) · International Conference on Innovations in Information, Embedded and Communication Systems · doi:10.1109/iciiecs.2015.7193124 · Cited by 30
A Study of Link Load Balancing Based on Improved Genetic Algorithm
Zhao, L., Dong, Y., & Chen-yang, H. (2013) · International Symposium on Computational Intelligence and Design · doi:10.1109/iscid.2013.183 · Cited by 6
A NOVEL LOAD BALANCING MODEL FOR OVERLOADED CLOUD PARTITION
Mithra, P. B. (2014) · International Journal of Research in Engineering and Technology · doi:10.15623/ijret.2014.0319074 · Cited by 3
Research works printed but not linked: 2
- gouda, 2013, Priority based Resource Allocation model for Cloud Computing, International Journal of Science Engineering and Technology Research, 2
- gupta, 2014, Load Balancing Using Genetic Algorithm in Mobile Cloud Computing, International Journal of Engineering and Innovative Technology
Cited by
Energy efficiency in cloud computing data centers: a survey on software technologies
Katal, A., Dahiya, S., & Choudhury, T. (2023) · Cluster Computing · doi:10.1007/s10586-022-03713-0 · Cited by 516
“Techniques like Genetic Algorithm (GA) [99] are also used for LB.”
MethodSefati, S. S., Mousavinasab, M., & Farkhady, R. Z. (2021) · The Journal of Supercomputing · doi:10.1007/s11227-021-03810-8 · Cited by 151
Dragonfly optimization and constraint measure-based load balancing in cloud computing
Polepally, V., & Chatrapati, K. S. (2017) · Cluster Computing · doi:10.1007/s10586-017-1056-4 · Cited by 109
A Fast Converging and Globally Optimized Approach for Load Balancing in Cloud Computing
Reshan, M. S. A., Syed, D., Islam, N., Shaikh, A., Hamdi, M., Elmagzoub, M. A., Muhammad, G., & Talpur, K. H. (2023) · IEEE Access · doi:10.1109/access.2023.3241279 · Cited by 85
A Survey of Swarm Intelligence Based Load Balancing Techniques in Cloud Computing Environment
Elmagzoub, M. A., Syed, D., Shaikh, A., Islam, N., Alghamdi, A., & Rizwan, S. (2021) · Electronics · doi:10.3390/electronics10212718 · Cited by 58
Metadata
- Authors
- Makasarwala, H. A., & Hazari, P.
- Venue
- 2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)
- Publisher
- IEEE
- Published
- 2016-06
- Pages
- 1-6
- OpenAlex
- W2589790601
- Cited by
- 50
- References
- 10
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 5 · 2023: 8 · 2022: 8 · 2021: 3 · 2020: 3 · 2019: 5 · 2018: 6 · 2017: 7
- FWCI
- 5.10
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Electronics, Computers and Artificial Intelligence (ECAI) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
- Physical Sciences › Computer Science › Computer Networks and Communications › Distributed and Parallel Computing Systems
- Physical Sciences › Computer Science › Hardware and Architecture › Energy Efficiency in Computing
- Keywords
- load balancing, cloud computing, genetic algorithm, request prioritization, NP-completeness, request scheduling
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
