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Essay Parallel and Distributed Architectures – Data Storing, Staging and Processing – Report Writing – Cloud Computing Assignment Help

Assignment Task

The learning outcomes of this module are:
LO1 Critically compare and contrast distinct parallel and distributed architectures in terms of their functional and non-functional characteristics and associated enabling technologies.
LO2 Demonstrate in-depth knowledge of different types of computing systems for data storing, staging, and processing.
LO3 Evaluate and assess virtualisation and software environments for cloud computing.
LO4 Construct and present a business case for a complex, dynamic high performance computing solution for clouds.

LO5 Apply data governance and ethical frameworks to complex computational problems and recommend cloud – based solutions.

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(a) Description 

A given company is exploring a move to a cloud-based architecture one of their key High Performance Computing (HPC) systems. They have asked you to help them analyse the cost implications of adopting a cloud-based HPC architecture using Amazon Web Services (AWS) offerings. The company management wants to know what the economic benefits of utility computing for HPC are, in comparison to their current on-premises setup. 

Prepare a case study to quantify the cost benefits by comparing the economic benefits of the proposed cloud computing architecture vs. the traditional (on-premises) one. The case study ought to be based on a real, preferably publicly traded, medium or large company of a given industrial sector in Europe. For the purposes of this project, the following seven sectors1 have been selected: 

Modulo Result Industry Sector 
Biotechnology  Construction  Defence  © 2020- Electrical and Electronic Engineering Food and Drink Industry  Maritime  Space

(b) Assumptions
You are asked to design a multi-variable cloud/utility HPC architecture that realistically fulfils the different system requirements such as:

Functional: Computation (Peak and Sustained Flops), memory, and data storage needs, number of users, requests,…

Non-Functional Expected SLA, QoS, and service/maintenance costs, and any other relevant details. By using a utility model, you will simulate economic behaviours and compare traditional (on-premises) vs. utility computing (cloud-based) HPC architectures. 1Additional details on industrial sectors and their relevance for Europe can be found at: https://ec.europa.eu/growth/sectors_en

Cloud Architectures (CLAR)

• Use available AWS service offerings and prices for European AWS Regions only. Make sure that hidden costs are accounted for in your case study and analyse a 5-year horizon with all costs and any possible expansions.
• Describe any possible acceptance criteria other than direct costs: specific benchmark results, response times, etc. You must conduct some independent research and include any relevant bibliography.

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