云环境中使用优化技术的资源配置和负载评估

Q3 Multidisciplinary
Pavan N. Kunchur, Dr. Manjunath Managuli, Sadhana Bangarashettar, Uttam U. Deshpande, S. Salake, Simron Potnis
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引用次数: 0

摘要

云计算是一种正在发展的技术,它需要为客户提供无限的资源来源。云计算的综合性和活力特征涉及到有效和改进的资源配置和委托评估方法。云观测是将托管虚拟机(vm)的过度开发和未充分利用的基本设备联系起来的关键。负荷稳定对于资源的经济高效运行至关重要。大多数作者都把重点放在测量多个vm上执行需求的get跨度上。在本文档中,完成了对开发和寄售评估技术的基本评估,并根据SLA违反、CPU利用率、能源利用率和成本限制的想法对各种技术进行了评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
RESOURCE PROVISIONING AND LOAD EVALUATING IN CLOUD ATMOSPHERE USING OPTIMIZATION TECHNIQUES
Cloud computing is a developing technology that requires an infinite approach of resourceful sources to customers. The comprehensive and energetic characteristics of cloud computation involve effective and improved methods for resource provisioning and consignment evaluation. Cloud observing is essential associating overdeveloped and underutilized basic appliances which host Virtual Machines (VMs). Load stabilizing is essential for the cost-effective and efficient operation of resources. Most of the writers have taken the focus to measuring back the get span for execution requirements on multiple VMs. In this document, a fundamental evaluation on development and consignment evaluating techniques has been completed and various techniques are evaluated on the idea of SLA Violations, CPU utilization, energy utilization, and cost limitations.
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来源期刊
天津大学学报(自然科学与工程技术版)
天津大学学报(自然科学与工程技术版) Multidisciplinary-Multidisciplinary
CiteScore
1.30
自引率
0.00%
发文量
7072
期刊介绍: Journal of Tianjin University (Natural Science and Engineering Technology Edition) was founded in 1955. It is a monthly journal and is included as a source journal by many domestic and foreign databases such as Ei Core Database, CA (Chemical Abstracts), and China Science Citation Database (CSCD). It is a Chinese core journal and a statistical source journal for scientific and technological papers. The journal is a comprehensive academic journal sponsored by Tianjin University. It mainly reports on creative and forward-looking academic research results in the fields of natural science and engineering technology. The reporting directions include mechanical engineering, precision instruments and optoelectronic engineering, electrical and automation engineering, electronic information engineering, chemical engineering, construction engineering, materials science and engineering, environmental science and engineering, computer engineering and other disciplines. The journal implements "two-way anonymous review", with an average acceptance period of 3 months and a publication period of 10 to 12 months.
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