Energy efficient resource utilization and load balancing in virtual machines using prediction algorithms
In recent years due to increase in the number of customers and organizations utilize cloud applications for personal and professionalization become greater. As a result of this increase in utilizing the Cloud services, Cloud data centers found to be huge consumption with boundless energy and harmful...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2023-06-01
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| Series: | International Journal of Cognitive Computing in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666307423000086 |
| _version_ | 1797377846322135040 |
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| author | P. Udayasankaran S. John Justin Thangaraj |
| author_facet | P. Udayasankaran S. John Justin Thangaraj |
| author_sort | P. Udayasankaran |
| collection | DOAJ |
| description | In recent years due to increase in the number of customers and organizations utilize cloud applications for personal and professionalization become greater. As a result of this increase in utilizing the Cloud services, Cloud data centers found to be huge consumption with boundless energy and harmful materials into the environment. The Primary goal of fully virtual machines is to minimize consumption of boundless energy utilization and providing uttermost resources. Balancing the loads on the servers has become a challenging task for the cloud service provider. Load balancing on servers helps to improve the performance of the virtual machines and to minimize energy and processing time in cloud systems. Here we discuss about various load balance r serves as the single and distributes incoming traffic across multiple targets. Reducing the consumption for the data center industries, power supply capacity has more increased and demand will be continued. With an aim to reduce and bring down active server infrastructure burdens. All about, this includes various challenges are taken care of by the environment. Behavior approaches of systems and consumers are not defined clearly. We present a novel resource optimization framework to discover jobs with minimum utilization. This progress ground work encircle boundless energy utilization. |
| first_indexed | 2024-03-08T19:58:13Z |
| format | Article |
| id | doaj.art-7c20c3649e334f9790cc216d9c27928e |
| institution | Directory Open Access Journal |
| issn | 2666-3074 |
| language | English |
| last_indexed | 2024-03-08T19:58:13Z |
| publishDate | 2023-06-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | International Journal of Cognitive Computing in Engineering |
| spelling | doaj.art-7c20c3649e334f9790cc216d9c27928e2023-12-24T04:46:37ZengKeAi Communications Co., Ltd.International Journal of Cognitive Computing in Engineering2666-30742023-06-014127134Energy efficient resource utilization and load balancing in virtual machines using prediction algorithmsP. Udayasankaran0S. John Justin Thangaraj1Department of Computer Science and Engineering, Saveetha School of Engineering, Chennai, Tamilnadu, IndiaCorresponding author.; Department of Computer Science and Engineering, Saveetha School of Engineering, Chennai, Tamilnadu, IndiaIn recent years due to increase in the number of customers and organizations utilize cloud applications for personal and professionalization become greater. As a result of this increase in utilizing the Cloud services, Cloud data centers found to be huge consumption with boundless energy and harmful materials into the environment. The Primary goal of fully virtual machines is to minimize consumption of boundless energy utilization and providing uttermost resources. Balancing the loads on the servers has become a challenging task for the cloud service provider. Load balancing on servers helps to improve the performance of the virtual machines and to minimize energy and processing time in cloud systems. Here we discuss about various load balance r serves as the single and distributes incoming traffic across multiple targets. Reducing the consumption for the data center industries, power supply capacity has more increased and demand will be continued. With an aim to reduce and bring down active server infrastructure burdens. All about, this includes various challenges are taken care of by the environment. Behavior approaches of systems and consumers are not defined clearly. We present a novel resource optimization framework to discover jobs with minimum utilization. This progress ground work encircle boundless energy utilization.http://www.sciencedirect.com/science/article/pii/S2666307423000086Load balancingCloud datacentersEnergy predictionResource allocationEnergy efficient resource utilization algorithm |
| spellingShingle | P. Udayasankaran S. John Justin Thangaraj Energy efficient resource utilization and load balancing in virtual machines using prediction algorithms International Journal of Cognitive Computing in Engineering Load balancing Cloud datacenters Energy prediction Resource allocation Energy efficient resource utilization algorithm |
| title | Energy efficient resource utilization and load balancing in virtual machines using prediction algorithms |
| title_full | Energy efficient resource utilization and load balancing in virtual machines using prediction algorithms |
| title_fullStr | Energy efficient resource utilization and load balancing in virtual machines using prediction algorithms |
| title_full_unstemmed | Energy efficient resource utilization and load balancing in virtual machines using prediction algorithms |
| title_short | Energy efficient resource utilization and load balancing in virtual machines using prediction algorithms |
| title_sort | energy efficient resource utilization and load balancing in virtual machines using prediction algorithms |
| topic | Load balancing Cloud datacenters Energy prediction Resource allocation Energy efficient resource utilization algorithm |
| url | http://www.sciencedirect.com/science/article/pii/S2666307423000086 |
| work_keys_str_mv | AT pudayasankaran energyefficientresourceutilizationandloadbalancinginvirtualmachinesusingpredictionalgorithms AT sjohnjustinthangaraj energyefficientresourceutilizationandloadbalancinginvirtualmachinesusingpredictionalgorithms |