Multi-resource balance optimization for virtual machine in cloud data centers
Abstract & Details
Research Area
cloud comping
Keywords
Network
Storage
Cloud Computing
VM
IT resources..
Abstract
Abstract: In this paper the software-defined network (SDN) method is used to provide a set of active equipment providers (VMs) in the cloud data center (DC). Each VM application has four components: CPU, RAM, disk, or memory. The provision of virtual machine is one of the challenges in the cloud computing environment, especially in the construction of secret cloud systems. At this point, each virtual machine is provided with a virtual host based on the resources available on the host. In particular, in the case of different performance indicators and system requirements, balancing the performance of planning and distribution of cloud infrastructure for different applications and service models is a very challenging and challenging solution
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Pushpendra Singh Chundawat | srk university |
| 2 | dinesh kumar sahu | srk university |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Chundawat, Pushpendra Singh & sahu, dinesh kumar (2024). Multi-resource balance optimization for virtual machine in cloud data centers. International Journal of Advance Research and Innovative Ideas In Education, 10(4), 2389-2397.
MLA Style
Chundawat, Pushpendra Singh, and dinesh kumar sahu. "Multi-resource balance optimization for virtual machine in cloud data centers." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 4, 2024, pp. 2389-2397.
IEEE Style
Pushpendra Singh Chundawat and dinesh kumar sahu, "Multi-resource balance optimization for virtual machine in cloud data centers," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 4, pp. 2389-2397, 2024.
Vancouver Style
Chundawat Pushpendra Singh, sahu dinesh kumar. Multi-resource balance optimization for virtual machine in cloud data centers. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(4):2389-2397.
Harvard Style
Chundawat, Pushpendra Singh & sahu, dinesh kumar (2024) 'Multi-resource balance optimization for virtual machine in cloud data centers', International Journal of Advance Research and Innovative Ideas In Education, 10(4), pp. 2389-2397.
Chicago Style
Chundawat, Pushpendra Singh and dinesh kumar sahu. "Multi-resource balance optimization for virtual machine in cloud data centers." International Journal of Advance Research and Innovative Ideas In Education 10, no. 4 (2024): 2389-2397.
Turabian Style
Chundawat, Pushpendra Singh and dinesh kumar sahu. "Multi-resource balance optimization for virtual machine in cloud data centers." International Journal of Advance Research and Innovative Ideas In Education 10, no. 4 (2024): 2389-2397.
Related Research
Comprehensive Review of Existing Chatbot Systems for Career Assistance, Resume Support, and ATS-Aware Guidance
PDF Unavailable
Development of an AI-Powered Multimodal Web Assistant with Intelligent Resume Building and ATS Enhancement
PDF Unavailable
A Deep Learning-Based Framework for Mood-Oriented Music Recommendation Using Facial Expression Analysis
PDF Unavailable
Survey On : Intelligent Payroll and Human Resource Management Systems: A Systematic Review of Automation, Security, and Analytics
PDF Unavailable
Civic Engagement & Empowerment Platform
PDF Unavailable
Recent Developments in Microneedle Technology and Its Diverse Biomedical Applications
PDF Unavailable
RAG System Development with Pydantic AI ChromaDB & Groq
PDF Unavailable
Machine Learning Based Early Stage Diabetes Detection System
PDF Unavailable
A Survey on Skillsense:AI Career Analyzer App
PDF Unavailable
Employee Performance Portal
PDF Unavailable