Energy Efficient Load Balancing Algorithm for Cloud Computing Using Rock Hyrax Optimization
Cloud computing offers dynamic, scalable, and virtualized computing resources to end users over the internet. Load balancing is crucial for efficient resource use, distributing workloads across multiple resources to prevent overloading. Load balancing is crucial for resource utilization and processi...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10477415/ |
| _version_ | 1827290022212009984 |
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| author | Saurabh Singhal Ashish Sharma Anushree Pawan Kumar Verma Mohit Kumar Sahil Verma Kavita Maninder Kaur Joel J. P. C. Rodrigues Ruba Abu Khurma Maribel Garcia-Arenas |
| author_facet | Saurabh Singhal Ashish Sharma Anushree Pawan Kumar Verma Mohit Kumar Sahil Verma Kavita Maninder Kaur Joel J. P. C. Rodrigues Ruba Abu Khurma Maribel Garcia-Arenas |
| author_sort | Saurabh Singhal |
| collection | DOAJ |
| description | Cloud computing offers dynamic, scalable, and virtualized computing resources to end users over the internet. Load balancing is crucial for efficient resource use, distributing workloads across multiple resources to prevent overloading. Load balancing is crucial for resource utilization and processing time reduction, but traditional algorithms are often stuck at local maxima, leading to unequal allocation and performance decline. A metaheuristic based algorithm is proposed to dynamically adjust load distribution, ensuring resilience and sensitivity to changing workloads while managing energy consumption. This research presents a Rock Hyrax-based load balancing algorithm that addresses local maxima and power efficiency issues using QoS parameters. The algorithm’s performance is evaluated qualitatively and statistically, considering both static and dynamic modes of jobs and virtual machines. Comparing it with existing scheduling algorithms, the algorithm reduces makespan by 10%–15% and total energy consumption in data centers by 8%–13%. These results demonstrate the effectiveness of the Rock Hyrax-based load balancing algorithm in improving performance and energy efficiency in data centers, highlighting its potential impact on optimizing resource allocation and enhancing overall system performance. |
| first_indexed | 2024-04-24T12:01:02Z |
| format | Article |
| id | doaj.art-96078490e87840a9a3f541fbe22ca337 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-24T12:01:02Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-96078490e87840a9a3f541fbe22ca3372024-04-08T23:01:15ZengIEEEIEEE Access2169-35362024-01-0112487374874910.1109/ACCESS.2024.338015910477415Energy Efficient Load Balancing Algorithm for Cloud Computing Using Rock Hyrax OptimizationSaurabh Singhal0https://orcid.org/0000-0002-3117-8085Ashish Sharma1 Anushree2https://orcid.org/0000-0003-2360-1426Pawan Kumar Verma3https://orcid.org/0000-0002-2189-3974Mohit Kumar4https://orcid.org/0000-0002-9004-5856Sahil Verma5https://orcid.org/0000-0003-3136-4029 Kavita6https://orcid.org/0000-0001-5422-1659Maninder Kaur7Joel J. P. C. Rodrigues8https://orcid.org/0000-0001-8657-3800Ruba Abu Khurma9Maribel Garcia-Arenas10https://orcid.org/0000-0001-7600-1374Department of Computer Engineering & Applications, GLA University, Bharthia, Uttar Pradesh, IndiaDepartment of Computer Engineering & Applications, GLA University, Bharthia, Uttar Pradesh, IndiaDepartment of Computer Engineering & Applications, GLA University, Bharthia, Uttar Pradesh, IndiaDepartment of Computer Science & Engineering, Sharda University, Delhi, Uttar Pradesh, IndiaDepartment of Information Technology, MIT Art, Design & Technology University, Pune, Maharashtra, IndiaManipal University, Jaipur, Rajasthan, IndiaUttaranchal University, Dehradun, Uttarakhand, IndiaGuru Gobind Singh College for Women, Chandigarh, IndiaAmazonas State University, Manaus, Amazonas, BrazilMEU Research Unit. Faculty of Information Technology, Middle East University & Applied Science Research Center, Applied Science Private University, Amman, JordanDepartment of Computer Engineering, Automatics and Robotics, University of Granada, Granada, SpainCloud computing offers dynamic, scalable, and virtualized computing resources to end users over the internet. Load balancing is crucial for efficient resource use, distributing workloads across multiple resources to prevent overloading. Load balancing is crucial for resource utilization and processing time reduction, but traditional algorithms are often stuck at local maxima, leading to unequal allocation and performance decline. A metaheuristic based algorithm is proposed to dynamically adjust load distribution, ensuring resilience and sensitivity to changing workloads while managing energy consumption. This research presents a Rock Hyrax-based load balancing algorithm that addresses local maxima and power efficiency issues using QoS parameters. The algorithm’s performance is evaluated qualitatively and statistically, considering both static and dynamic modes of jobs and virtual machines. Comparing it with existing scheduling algorithms, the algorithm reduces makespan by 10%–15% and total energy consumption in data centers by 8%–13%. These results demonstrate the effectiveness of the Rock Hyrax-based load balancing algorithm in improving performance and energy efficiency in data centers, highlighting its potential impact on optimizing resource allocation and enhancing overall system performance.https://ieeexplore.ieee.org/document/10477415/Cloud computingenergy consumptionload balancingmakespanrock hyrax |
| spellingShingle | Saurabh Singhal Ashish Sharma Anushree Pawan Kumar Verma Mohit Kumar Sahil Verma Kavita Maninder Kaur Joel J. P. C. Rodrigues Ruba Abu Khurma Maribel Garcia-Arenas Energy Efficient Load Balancing Algorithm for Cloud Computing Using Rock Hyrax Optimization IEEE Access Cloud computing energy consumption load balancing makespan rock hyrax |
| title | Energy Efficient Load Balancing Algorithm for Cloud Computing Using Rock Hyrax Optimization |
| title_full | Energy Efficient Load Balancing Algorithm for Cloud Computing Using Rock Hyrax Optimization |
| title_fullStr | Energy Efficient Load Balancing Algorithm for Cloud Computing Using Rock Hyrax Optimization |
| title_full_unstemmed | Energy Efficient Load Balancing Algorithm for Cloud Computing Using Rock Hyrax Optimization |
| title_short | Energy Efficient Load Balancing Algorithm for Cloud Computing Using Rock Hyrax Optimization |
| title_sort | energy efficient load balancing algorithm for cloud computing using rock hyrax optimization |
| topic | Cloud computing energy consumption load balancing makespan rock hyrax |
| url | https://ieeexplore.ieee.org/document/10477415/ |
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