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Cited by 51Cloud Computing and Resource ManagementDistributed and Parallel Computing SystemsEnergy Efficiency in Computing

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

Makasarwala, Hussain A, Hazari, Prasun·2016·2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)
DOI 10.1109/ecai.2016.7861166
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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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Research works printed but not linked: 2

  1. gouda, 2013, Priority based Resource Allocation model for Cloud Computing, International Journal of Science Engineering and Technology Research, 2
  2. gupta, 2014, Load Balancing Using Genetic Algorithm in Mobile Cloud Computing, International Journal of Engineering and Innovative Technology

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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
DOI
10.1109/ecai.2016.7861166
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.