CMPSC 473代写、代写Java/Python编程设计

日期：2022-07-28 10:07

Lab 3: A Simple MapReduce-Style Wordcount Application

CMPSC 473, SUMMER 2022

Released on July 21, 2022, due on August 04, 2022, ll:59:59pm

Raj Pandey and Bhuvan Urgaonkar

1 Purpose and Background

This project is designed to give you experience in writing multi-threaded programs by

implementing a simplified MapReduce-style wordcount application. By working on this

project:

• You will learn to write multi-threaded code that correctly deals with race conditions.

• You will carry out a simple performance evaluation to examine the performance

impact of (i) the degree of parallelism in the mapper stage and (ii) the size of the

shared buffer which the two stages of your application will use to communicate.

Input

File

read

fappers Buffer

produce

Reducer

consume write

Output

File

Figure 1: Overview of our Mapreduce-style multi-threaded wordcount application.

The wordcount application takes as input a text file and produces as output the counts

for all uniquely occurring words in the input file arranged in an alphabetically increasing

order. We will assume that the words within our input files will only contain letters

of the English alphabet and the digits 0-9 (i.e., no punctuation marks or other special

characters). Our wordcount will consist of two stages. The first stage, called "mapper,"

DPBS1110 Evidence-Based Problem Solving

Assessment 2b: Assessment Guide and Marking Rubric

You have been asked to do further investigation and provide a recommendation to NSW

government. In particular, you have been asked to provide a recommendation on whether

the NSW government need to interfere to address the housing stress problem and ease

the pressure of the rising interest rates. Recommend at least one policy that NSW

government could consider.

1. Solve lt! 'Statistical Toolbox'

This section of the report is approximately 500 words (guide only, not a word limit).

After your initial investigation and feedback from various stakeholders, it has been

advised that there are other important factors which affect housing stress (e.g. low

income, age and financial literacy).

To understand whether these factors play an important role, you will need to

(i) formulate a multiple linear regression model and (ii) explain whether the

relationship is statistically and/or economically significant.

The use of a multiple linear regression, confidence intervals and hypothesis testing

would help you address this and thus provide evidence for your arguments.

In addition to interpreting the results of your analysis you will also need to draw to

attention issues of causality and confoundment which can impact the conclusions

from the analysis.

As a part of this assessment, assumptions and limitations need to be explicitly

identified. e.g. What variable would you want to have in an ideal situation to measure

income in this analysis? Do you have this variable in the dataset?

Word limit: A maximum of 1,500 words (no minimum word limit; graphs, figures and

reference list are excluded from the word count). A 10% penalty will apply if you exceed

the word count. Structure and format: No introduction or executive summary are required. You are

required to write in a business report style (i.e. formal language, etc).

Referencing style: Harvard (see The 'In-Text' or Harvard method for more information).

2. Solve lt! 'Ethics Toolbox'

This section of the report is approximately 500 words (guide only, not a word limit).

Your client, the NSW government, is especially concerned with the ethical issues that

housing stress presents. Apply the 7-step ethical decision-making framework from Unit 3

to one of the following ethical dilemmas:

Should NSW government provide food stamps to low income earners to alleviate

the rising cost of living problem?

Should NSW government asked borrowers to undertake compulsory financial

literacy course before borrowing money from the bank?

For the ethical dilemma you are writing up, apply the 7-step ethics decision-making

framework to formulate a position on the ethical issue selected. Makes sure your position

on the ethical issue (step 7 in the framework) is clearly presented.

3. Solve It! 'Information Toolbox'

This section of the report is approximately 500 words (guide only, not a word limit).

After compiling all of the above evidence, you are now ready to consolidate this and other

evidence that you researched, and provide your recommendations to your Team Leader

for inclusion on the main report.

Your instructions are to:

Write your report with a clear problem-solving and decision-making logic

Tell a compelling story with a clearly articulated report argument structure.

You MUST include either a grouping or argument structure logic tree. (the logic tree

will not be included in the word count)

Ensure that your recommendations are persuasive and include specific course of

actions for the government.

Be consistent with the statistical and ethical analysis conducted in the report.

Comment on the reliability and validity of this report.

Note about the data

These data are realistic but fictitious; they have been constructed for the sole purpose of use in

teaching.

The data set contains 2,000 observations that were collected over a one-month period during

2021. Each observation refers to a different household residing in Sydney who have purchased

a residential property with a mortgage at the time. The variables from the full survey that have

been selected for your use are:

lowinc Indicator variable =1 if the household is in the lowest two income

quintiles, =0 otherwise

lowSEIFA Indicator variable =1 if the property is located in an area that is in the

lowest two SEIFA quintiles, =0 otherwise

age Age of the household head (in years)

comtime Normal weekly commuting time (in hours) from the property to work

Financial Literacy 1= Very Poor; 2= Poor; 3= Satisfactory; 4= Good; 5= Very Good

Access to financial

advice

0= no

1= yes

hcost Individual housing cost-income ratios calculated as the ratio of weekly

mortgage repayments and weekly gross household income*

* Disposable income is defined as equivalised after-tax income where equivalence scales are used to

adjust for households of different sizes and hence to allow for economies of scale that arise from income

sharing within households. Those households reporting zero or negative income have been excluded

from the analysis.