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assignmentutor-lab™ 为您的留学生涯保驾护航 在代写云计算cloud computing方面已经树立了自己的口碑, 保证靠谱, 高质且原创的统计Statistics代写服务。我们的专家在代写云计算cloud computing代写方面经验极为丰富，各种代写云计算cloud computing相关的作业也就用不着说。

• Statistical Inference 统计推断
• Statistical Computing 统计计算
• (Generalized) Linear Models 广义线性模型
• Statistical Machine Learning 统计机器学习
• Longitudinal Data Analysis 纵向数据分析
• Foundations of Data Science 数据科学基础

## 计算机代写|云计算代写cloud computing代考|Modelling Stochastic VM Release Time

Workload finishing time or lifetime of a VM is referred to as VMRT. Prior receiving any service, negotiation of service related conditions including service expiry date followed by an acceptance of the contract takes place between Cloud Service Providers (CSPs) and CSUs, interpreted as Service Level Agreement (SLA). For many VMs, VMRT is equal to the contract of service period between the respective CSU (i.e., VM owner) and the CSP as agreed during SLA. Before the contract is expired, both CSUs and CSPs might agree/disagree to renew, extend or early termination of the contract and respective VMRT would be updated accordingly. Some web applications hosted in CDC remains unremoved for a very long period. Estimated VMRT of such VMs would be large values referring to the time when the respective contract of service between CSU and CSP would expire as agreed prior the service during SLA. If renewal or early termination of contract of service takes place, VMRT would be readjusted accordingly.

For some applications, VMRT corresponds to QoS and potential resource demand. Resource demand may change with the variation in number of users, causing creation of additional VMs and later deletion of such VMs. At the time of SLA, a SAAS provider/PAAS user must consider the potential number of application users and mention it to PAAS provider so that by taking the potential number of end users and corresponding resource demand into account a certain standard of QoS can be uphold. Pattern of changing resource demand over time derived from past data can also be utilized to recognize the change of resource demand in future [46]. Considering the change in resource demand over time and demanded QoS, PAAS provider/IAAS user can estimate resource/VM release time, which would be proffered to IAAS provider.

In many cases, the prior estimated VMRT might not turn out as strictly accurate in future. Hence, to reflect the reality further closely, we propose to embody a stochastic version of VMRT, referred to as Stochastic VM Release Time (SVMRT) in SRTDVMC. SVMRT can be calculated from (3.1). In Table 3.1, we have articulated the meaning of the notations used in this paper.
$$S_{V_j}=(1+\alpha \cdot Y) \cdot T_{V_j}$$
A part from VMRT, two more crucial terms noteworthy explaining is $P M$ Release Time $(P M R T)$ and Stochastic PMRT (SPMRT). PMRT refers to the time when a PM can be either shut down or put into a sleep state that would consume no energy, or lower amount of energy compared to its active state. A PM can be shut down or put into sleep state, if it has either no VM hosted on it, or none of its hosted VMs is in the active state. Since $S V M R T$ refers to the maximum time until which the VM would be in the active state, hence $S P M R T$ of a PM $P_i$ denoted by $S_{P_i}$ refers to the maximum $S V M R T$ value among all the VMRT values of VMs that are hosted in that PM, as articulated in (3.2).

## 计算机代写|云计算代写cloud computing代考|Modelling Energy Consumption

Most of the existing VM consolidation algorithms have mentioned that energy consumption of a PM is primarily dominated by its CPU utilization $[8,47]$. Hence, our energy consumption model is a function of CPU utilization (3.8), where, $E_i$ denotes the energy consumption by $\mathrm{PM}, P_i$.
$$E_i=f\left(U_i^{\mathrm{CPU}}\right)$$
Based on (3.8), we can determine the total energy consumption of the CDC through (3.9), where $E_{\mathrm{CDC}}$ denotes the total energy consumption of the CDC.
$$E_{\mathrm{CDC}}=\sum_{i=1}^{|P|} E_i$$
In order to relate closely to the real energy consumption by PMs, we have opted to draw energy consumption benchmark results of three different types of PMs presented in Table 3.2.

# 云计算代考

## 计算机代写|云计算代写cloud computing代考|建模随机虚拟机发布时间

.

VMRT的一部分，两个更重要的术语值得注意的解释是 $P M$ 发布时间 $(P M R T)$ 随机PMRT (SPMRT)。PMRT指的是PM可以关闭或进入不消耗能量的睡眠状态的时间，或者是与活动状态相比能量更少的时间。如果一个PM上没有托管虚拟机，或者托管的虚拟机都没有处于活动状态，那么它可以被关闭或进入睡眠状态。自从 $S V M R T$ 为虚拟机处于活动状态的最长时间，因此 $S P M R T$ 一个项目经理 $P_i$ 表示为 $S_{P_i}$ 为最大值 $S V M R T$ 在该PM中托管的vm的所有VMRT值中的值，如(3.2)所述

## 计算机代写|云计算代写cloud computing代考| modeling Energy Consumption

$$E_i=f\left(U_i^{\mathrm{CPU}}\right)$$

$$E_{\mathrm{CDC}}=\sum_{i=1}^{|P|} E_i$$

## 有限元方法代写

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## MATLAB代写

MATLAB 是一种用于技术计算的高性能语言。它将计算、可视化和编程集成在一个易于使用的环境中，其中问题和解决方案以熟悉的数学符号表示。典型用途包括：数学和计算算法开发建模、仿真和原型制作数据分析、探索和可视化科学和工程图形应用程序开发，包括图形用户界面构建MATLAB 是一个交互式系统，其基本数据元素是一个不需要维度的数组。这使您可以解决许多技术计算问题，尤其是那些具有矩阵和向量公式的问题，而只需用 C 或 Fortran 等标量非交互式语言编写程序所需的时间的一小部分。MATLAB 名称代表矩阵实验室。MATLAB 最初的编写目的是提供对由 LINPACK 和 EISPACK 项目开发的矩阵软件的轻松访问，这两个项目共同代表了矩阵计算软件的最新技术。MATLAB 经过多年的发展，得到了许多用户的投入。在大学环境中，它是数学、工程和科学入门和高级课程的标准教学工具。在工业领域，MATLAB 是高效研究、开发和分析的首选工具。MATLAB 具有一系列称为工具箱的特定于应用程序的解决方案。对于大多数 MATLAB 用户来说非常重要，工具箱允许您学习应用专业技术。工具箱是 MATLAB 函数（M 文件）的综合集合，可扩展 MATLAB 环境以解决特定类别的问题。可用工具箱的领域包括信号处理、控制系统、神经网络、模糊逻辑、小波、仿真等。

assignmentutor™您的专属作业导师
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