代写 data 编程、代做 java，c/c++程序

日期：2024-03-17 09:24

1. Assignment guidance This exercise aims to give you some practical experience of using serverless architectures. It will also give you the opportunity to research on the cloud computing domain of Function as a Service (FaaS), technologies and performance.

Serverless computing is revolutionising cloud application development as it offers the ability to create modular, highly-scalable, fault-tolerant applications, with minimal operational management. In order to con- tribute to the widespread adoption of serverless platforms, the perfor- mance of functions, including workflows, running on such platforms is key. This coursework aims to investigate the performance of workflow functions on two different platforms: commercial and open-source.

You should carefully review the lecture notes on this topic before you start work.

2. Assessment tasks

(a) For the investigation, consider the following platforms: Microsoft

Azure Functions serverless solution and OpenFaas;

(b) Research into the performance of serverless workflows deployed on serverless architectures (commercial and open-source) to pro- vide insight into their capabilities and increase awareness of their potential;

(c) Design a set of experiments to assess the performance on each serverless platform considering one language runtime of your choice. You can choose, for example, among Python, Java and Node.js. Propose a cloud-based technical implementation for comparison and analysis of your serverless workflow, and demonstrate their performance in terms of runtime and resource consumption.

1 Requirements

(a) Related work in the literature: identify at least two research pa- pers that report on serverless workflows. Extra marks will be allocated when considering a thorough review of the literature.

(b) Consider a serverless workflow of your choice, e.g. image pro- cessing pipeline, parallel processing, machine learning etc. The

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workflow should have a minimum of two functions and a maxi- mum of three. Extra marks will be allocated when considering three functions.

(c) Consider one programming language for the implementation of your functions;

(d) Consider the aspect of scalability by increasing the number of function invocations;

(e) Report your performance results.

Note. You need to install OpenFaaS, e.g. on a Virtual Machine run- ning on Microsoft Azure.

3. General guidance and study support Learning resources and use- ful links are available in COMP5123M area on Minerva. Help is also available on the module Teams channel.

4. Assessment criteria and marking process

Address the questions in relation the problem motivation, related work, workflow composition originality, experimental design and implemen- tation, discussion of results, and evidence of execution. Distribution of marks:

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Report

Problem motivation 5 Related work 5 Workflow originality 5 Experimental Design and Implementation 10 Results 10 Quality of evaluation 10 Code/scripts 5

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Coursework feedback and return of marks will be available on Grade-

scope (expected date: 4 weeks after coursework submission). 5. Presentation and referencing

The quality of written English will be assessed in this work. As a minimum, you must ensure:

?? Paragraphs are used

?? There are links between and within paragraphs although these

may be ineffective at times

?? There are (at least) attempts at referencing

?? Word choice and grammar do not seriously undermine the mean- ing and comprehensibility of the argument

?? Word choice and grammar are generally appropriate to an aca- demic text.

These are pass/ fail criteria. So irrespective of marks awarded else- where, if you do not meet these criteria you will fail overall.

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6. Submission requirements

The following deliverables are expected:

(a) a research report on the domain of investigation: answer all the questions available on Gradescope.

(b) materialdevelopedaspartoftheexperimentdesign(code,scripts).

The deliverables should be submitted on Gradescope. To submit your code for the exercise, you can either: 1) provide a link to Git, or 2) create a Zip or tar archive of the files which make up your system and upload it on Gradescope. If you have organised your files into a directory hierarchy, then package this as a single Zip or tar archive.

7. Academic misconduct and plagiarism

Academic integrity means engaging in good academic practice. This involves essential academic skills, such as keeping track of where you find ideas and information and referencing these accurately in your work.

By submitting this assignment you are confirming that the work is a true expression of your own work and ideas and that you have given credit to others where their work has contributed to yours.

8. Assessment/marking criteria grid

This coursework is marked out of 50 and accounts for 20% of the assess- ment. A lateness submision penalty will apply (5% of the maximum available mark per day).

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