Create single presentation – PPT with notes for about 25 slides without title, synopsis, bibliography, and/or closing slides.

Subject: Business Network Systems Management – 03478 – Sp22

Book: The-practice-of-system-and-network-administration-volume-1, 3rd-edition,

      Author: Thomas A. LimoncelliChristina J. HoganStrata R. Chalup

Chapter 25 Datacenters Overview; Chapter 26 Running a Datacenter

1. First Write a brief synopsis of the chapter in 1-2 paragraphs for your post 

2. ** you must create a single PowerPoint presentation which summarizes the key points the author makes in the chapter(s). 

** You must also incorporate outside data from your own personal experiences, case studies, outside literature, or some other outside source which helps to illustrate the authors’ points. 

** Make sure that you highlight and cite the outside references to get appropriate credit for them. 

**** Important: Do not simply re-write the authors’ original texts. Summarize and paraphrase what the authors were saying in your own words. 

** The presentation must contain at least 25 content slides with notes 

  (not including the title, synopsis, bibliography, and/or closing slides). 

provide an elaborate answer on each of the following questions:

1. Explain in short, the functions of every layer of TCP/IP

2. Explain the concept of IP addresses in detail

3. Why do we use subnetting?

4. What Is NAT? why is it used for?

5. Explain error type with example?

6. What is data transmission? What are the different possible ways of transmitting data?

7. Explain Parallel transmission mode

8. Write a short note on transmission impairments

Word Count: 5000 words (maximum)

Your work needs to be well written and have quality information. Your work must be clear and must be able to educate someone with no prior knowledge in the field of operating systems.

Assignment Evaluation Rules:

• Overall presentation 10%

• Structure 10%

• Introduction 10%

• Main body

o Critical analysis/evaluation 50%

o Recommendations 10%

o Conclusion 10%

Notes:

• Please read and apply the rules for referencing.

Overview

In each module, you will be learning about different statistical functions in R. You will apply these functions to specific data sets, creating models that can be used to understand and solve real-world problems. You will gain practice creating models, reporting and interpreting their statistics, evaluating their significance, and using the models to make predictions.

Note: Begin working on the readings and the problem set early each week. This will help make sure that you are prepared for the weekly discussion.

Prompt

In this activity, you will explore a second order regression model that contains quantitative and qualitative variables. Then you will be asked to create your own second order regression models and write a mini-report based on your findings.

1. Access the R scripts for this problem set by using the Jupyter Notebook link in Module Three. In your Jupyter Notebook, you have been given a set of steps that explains how to create second order models with quantitative and qualitative variables. Go through each step, examining the scripts and their output. If you are not sure how a specific script works or how to understand the output of a script, review the readings. Reach out to your instructor if you need additional help.
2. Review the Module Three Problem Set Report template to understand the questions that you will need to answer for this assignment. Then, write your own scripts to create the models specified in your problem set report. Refer to the scripts that you were given as examples to guide your work.
3. Use the outputs of your scripts to answer all of the questions in your problem set report. The report has been divided into several sections. Each section contains questions to guide your analysis. Be sure to fully answer all of the questions and complete the following sections:
   • Introduction: Communicate all ideas by presenting the context of your analyses.
   • Correlation Analysis: Discuss the relationships between the variables using correlation coefficients.
   • Reporting Results: Report the results of the model by listing and interpreting various model statistics.
   • Evaluating Model Significance: Evaluate the significance of the model by reporting parameter estimates and performing hypothesis testing for each estimate and the overall model.
   • Making Predictions Using the Model: Make predictions based on the model by reporting prediction values and constructing prediction intervals and confidence intervals.
   • Conclusion: Communicate all ideas by summarizing and interpreting the practical implications of the results.

Guidelines for Submission

You will submit your completed problem set report as a Word document. Use 11-point Calibri font and one-inch margins. You must use the equation editor where appropriate.

You will also submit the HTML file containing the outputs of your R scripts from the Jupyter Notebook. Review the Jupyter Notebook in Codio Tutorial to help you with this task.

The use of mobile devices in our society today has indeed become ubiquitous. In addition, CTIA asserted that over 326 million mobile devices were in use within The United States as of December 2012 – an estimated growth of more than 100 percent penetration rate with users carrying more than one device with notable continues growth. From this research, it’s evident that mobile computing has vastly accelerated in popularity over the last decade due to several factors. In consideration with this revelation, identify and name these factors, and provide a brief discussion about them.

Cloud computing represents one of the most significant paradigms shifts in information technology (IT) history, due to an extension of sharing an application-hosting provider that has been around for many years, and was common in highly regulated vertical industries like banks and health care institutions. The author’s knowledge from their research continue to assert that, the impetus behind cloud computing lies on the idea that it provides economies of scale by spreading costs across many client organizations and pooling computing resources while matching client computing needs to consumption in a flexible, real-time version. 

Identify the issues and risks that pose concern to organizations storing data in the cloud.

 Prove the Orthocenter Theorem by geometric arguments: Let T be the triangle on the image plane defined by the three vanishing points of three mutually orthogonal sets of parallel lines in space. Then the image center is the orthocenter of the triangle T (i.e., the common intersection of the three altitudes.  Note that you are asked to prove the Orthocenter Theorem rather than that the orthocenter itself as the common interaction of the three altitudes, which you can use as a fact.
(1)    Basic proof: use the result of Question 1, assuming the aspect ratio of the camera is 1. (20 points)
(2)    If you do not know the  focal length of the camera, can you still find the image center using the Orthocenter Theorem? Can you further estimate the focal length? For both questions, please show why (and then how) or why not.
(3)    If you do not know the aspect ratio of the camera, can you still find the image center using the Orthocenter Theorem? Show why or why not.