Cite this DOI

Dr. Rajesh P. Patel, D. R. P. P. (2023). Energy-Aware VMs Consolidation Computing Frameworks’ of Data Center in Cloud Computing Environment. *Journal of Science & Technology*, *7*(1), 82–91. https://doi.org/10.46243/jst.2022.v7.i01.pp82-91

@article{drrajeshppatel2023energyaware,
  author    = {Dr. Rajesh P. Patel, Dr. Rajesh P. Patel},
  title     = {{Energy-Aware VMs Consolidation Computing Frameworks’ of Data Center in Cloud Computing Environment}},
  journal   = {Journal of Science \& Technology},
  year      = {2023},
  month     = {jul},
  volume    = {7},
  number    = {1},
  pages     = {82--91},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2022.v7.i01.pp82-91},
  url       = {https://doi.org/10.46243/jst.2022.v7.i01.pp82-91},
  language  = {en},
  abstract  = {Cloud computing is a service model that can conveniently access a shared pool of configurable computing resources that can be quickly configured and released on demand. In cloud data centers, the scale and complexity of various computing resources such as servers, network equipment, and cooling systems are constantly evolving, which consumes a lot of power and increases the energy consumption of the data center. Because cloud data center resources are not optimized for maximum utilization, they consume more power. Therefore, it is necessary to integrate virtual machines (VMs) on data center servers to help optimize the use of resources in the cloud, thereby reducing energy consumption. By considering the optimal power consumption of various data center resources, many researchers have proposed various methods and algorithms to reduce the power consumption of servers and network equipment. In this paper, we introduced two energy-saving computing frameworks (1) data center energy-saving server power model, (2) energy-saving VM migration based on Multi-objective to help optimize data center power consumption.}
}

TY  - JOUR
TI  - Energy-Aware VMs Consolidation Computing Frameworks’ of Data Center in Cloud Computing Environment
AU  - Dr. Rajesh P. Patel, Dr. Rajesh P. Patel
JO  - Journal of Science & Technology
PY  - 2023
DA  - 2023/07/26/
VL  - 7
IS  - 1
SP  - 82
EP  - 91
PB  - Longman Publishers
SN  - 2456-5660
LA  - en
AB  - Cloud computing is a service model that can conveniently access a shared pool of configurable computing resources that can be quickly configured and released on demand. In cloud data centers, the scale and complexity of various computing resources such as servers, network equipment, and cooling systems are constantly evolving, which consumes a lot of power and increases the energy consumption of the data center. Because cloud data center resources are not optimized for maximum utilization, they consume more power. Therefore, it is necessary to integrate virtual machines (VMs) on data center servers to help optimize the use of resources in the cloud, thereby reducing energy consumption. By considering the optimal power consumption of various data center resources, many researchers have proposed various methods and algorithms to reduce the power consumption of servers and network equipment. In this paper, we introduced two energy-saving computing frameworks (1) data center energy-saving server power model, (2) energy-saving VM migration based on Multi-objective to help optimize data center power consumption.
DO  - 10.46243/jst.2022.v7.i01.pp82-91
UR  - https://doi.org/10.46243/jst.2022.v7.i01.pp82-91
ER  -

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    "title": "Energy-Aware VMs Consolidation Computing Frameworks’ of Data Center in Cloud Computing Environment",
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    "abstract": "Cloud computing is a service model that can conveniently access a shared pool of configurable computing resources that can be quickly configured and released on demand. In cloud data centers, the scale and complexity of various computing resources such as servers, network equipment, and cooling systems are constantly evolving, which consumes a lot of power and increases the energy consumption of the data center. Because cloud data center resources are not optimized for maximum utilization, they consume more power. Therefore, it is necessary to integrate virtual machines (VMs) on data center servers to help optimize the use of resources in the cloud, thereby reducing energy consumption. By considering the optimal power consumption of various data center resources, many researchers have proposed various methods and algorithms to reduce the power consumption of servers and network equipment. In this paper, we introduced two energy-saving computing frameworks (1) data center energy-saving server power model, (2) energy-saving VM migration based on Multi-objective to help optimize data center power consumption.",
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From the record as registered (version 2) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjst.2022.v7.i01.pp82-91 gives all four in one JSON answer.