Category: Computer science

1. Understand the Basics
Definition and Concepts: Begin by understanding what cloud computing is. Familiarize yourself with fundamental concepts such as IaaS (Infrastructure as a Service), PaaS (Platform as a Service), and SaaS (Software as a Service).
Current Technologies: Look into existing cloud service providers like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) to see what services they offer.
2. Identify Key Areas of Focus
Cloud Architecture: Learn about the architecture of cloud systems, including front-end platforms, back-end platforms, cloud-based delivery, and network infrastructure.
Security: Investigate current security measures and challenges in cloud computing.
Scalability and Performance: Explore how cloud systems handle scalability and ensure high performance.
Cost Management: Study cost models and economic aspects of cloud services.
3. Explore Future Trends
Edge Computing: Understand the shift towards processing data closer to where it is generated.
Artificial Intelligence and Machine Learning Integration: Research how AI and ML are being integrated into cloud services for enhanced analytics and automation.
Quantum Computing: Investigate the potential impact of quantum computing on cloud services.
Serverless Architectures: Learn about the growth of serverless computing and its implications for future applications.
4. Consult Academic and Industry Research
Academic Journals and Papers: Use resources like Google Scholar, IEEE Xplore, and ACM Digital Library to find scholarly articles on cloud computing.
Industry Reports: Look for reports from industry analysts like Gartner, Forrester, and IDC to understand market trends and forecasts.
5. Follow Influential Voices
Blogs and Websites: Follow prominent cloud computing blogs, such as AWS Blog, Microsoft Azure Blog, and Google Cloud Blog.
Conferences and Webinars: Attend cloud computing conferences like AWS re
, Google Cloud Next, and Microsoft Ignite. Webinars and online workshops can also be valuable.
6. Join Professional Communities
Online Forums: Participate in online communities and forums like Stack Overflow, Reddit’s r/cloudcomputing, and Quora.
Professional Networks: Join LinkedIn groups and follow industry leaders to stay updated on the latest trends and discussions.
7. Practical Experience
Hands-on Practice: Use free tiers or trial accounts offered by cloud providers to gain hands-on experience.
Certifications: Consider obtaining certifications from AWS, Azure, or Google Cloud to validate your skills and knowledge.
8. Formulate Research Questions
Develop specific research questions or hypotheses based on gaps you identify in the current literature or emerging trends. Examples might include:
How will edge computing change the landscape of cloud services in the next decade?
What are the primary security challenges for cloud computing in a multi-cloud environment?
9. Create a Research Plan
Outline your research objectives, methodologies, and a timeline. Decide whether your approach will be qualitative, quantitative, or a mix of both.
10. Stay Updated
Cloud computing is a rapidly evolving field. Regularly review new research, product updates, and technological advancements to keep your research current.

Website Acquisition problematic (SEO/SEM) targeting the English-speaking North
American region:…………………..
6.1. Literature Review and Development of a Conceptual Framework ( Identification of key variables
in scientific and managerial literature relating to the topic under study) …… (3-5pages)
6.2. Analysis of Results(from the secondary and primary data collection) and Strategic
Recommendations.
Details: choice of quantitative, qualitative or mixed methodology. Role of
expert interviews. ……………….. (20 pages)
VERY IMPORTANT: include visual elements in the report and in the appendices, such as mock-ups,
visuals of advertisements, publications, etc. Each recommendation must be linked to the
company’s context and presented with a concrete example.
6.3. Recommendations ………..
6.4. Implementation and Monitoring …………………………………..3-5 pages
Summary of recommendations by importance, implementation date/timeline and resources
required to implement them. Performance indicators needed to track recommendations.
6.5. Conclusion ……………………………………………………………. 1-3 pages

The miniaturization of electronics along with the Internet is paving the way for a “network of things”. Future networks will consist of tiny wireless microelectromechanical sensors (MEMS) capable of sensing and transmitting data from anywhere to anywhere.
These sensors, called “smart dust” or “data motes” contain computing circuits, cameras, a self-contained power supply and wireless communications technology. Each data mote is capable of gathering data, running computations and communicating information to other motes up to a 1,000 feet away.  With continued breakthroughs in chip fabrication, motes could eventually become small electronic sensors the size of a grain of sand.
The embedded video below provides an overview behind the concept of “Smart Dust”.

DISCUSSION QUESTIONS:
Businesses and individuals already collect a massive amount data but only about 35% of the information collected is used. Smart Dust will enable businesses and individuals to collect a great deal more.
How will companies/individuals need to adapt in order to make sense of volumes of new information Smart Dust will allow them to collect?   
There are few policies in place regarding data collection and usage. Businesses and individuals are largely expected to “self-govern” their collection/use of data. 
Many are concerned about privacy issues as well as the ethical use of data.  Is the potential for learning and understanding more about business and/or society worth the concerns regarding privacy?
One major city is using data motes to track and study homelessness. A NFL team is considering using data motes to track the movement of fans throughout the stadium on game days to better understand/plan changes to building resources including bathroom facilities, concession stands, entrances/exits, etc.  
There are endless potential societal, scientific, medical and business applications for “smart dust”.  What useful implementation of smart dust can you imagine?    
Create a response to the following people if you agree or disagree or what similarities you find:
Raynold Safo(Smart data)
Raynold Safo posted Jun 6, 2024 5:55 PM
1.Companies and individuals will need to adapt by implementing efficient data management systems, such as data analytics tools and machine learning algorithms, to process and analyze the large volumes of information collected through Smart Dust. They may also need to invest in skilled data scientists and IT infrastructure to effectively utilize the increased data for decision-making and problem-solving.
2.The potential for learning and understanding more about business and society through increased data collection is valuable, but it must be balanced with privacy concerns and ethical considerations. Implementing robust privacy policies, ensuring data anonymity, and obtaining informed consent can help mitigate these concerns and preserve the benefits of data-driven insights.
3.One useful implementation of smart dust could be in the field of environmental monitoring. By deploying smart dust sensors in various locations, it could enable real-time tracking and analysis of air quality, temperature, humidity, and other environmental factors. This data could help in identifying pollution sources, managing climate change impacts, and improving public health.
Create a response to the following people if you agree or disagree or what similarities you find:
Hadja Fofana posted Jun 10, 2024 9:13 PM
Being that Smart Dust is essentially an invisible network that intercommunicates information that is being processed, companies/individuals need to adapt to make sense of the new information by creating a larger, more sophisticated system that will gather all sorts of information based on demographic, geography. For it to work, the system will have to be able to personalize/narrow information based on the person, or company it’s processing.
Yes, there is potential for more learning and understanding about business/and or society regarding privacy because at the end of the video, it was stated it can really help the infrastructure/development of cities, from potholes, collapsing bridges, to flow of traffic. But, once it processes your face in public, does it share your information with other people or institutions, will it ask the individual whether they want their face scanned? There’s a lot of ways the system can cross the boundaries of personal privacy. 
A useful implantation I can think of for Smart Dust, is being able to scan a person’s medical history, the medication they’ve on in the past, allergens, and disease or condition that may be not physically seen, that way when patients walk into the hospitals it will be less of a wait time for both parties. I would also being able to differentiate between twins, triplets, or quadruplets especially when they’re identical, it wouldn’t be good for the system to mistake one person’s face over another.

After reviewing the information in the Learn section for this Module: Week, discuss all of the following:
* What are best practices in technical techniques to detect and limit wireless network footprinting?
* What are best practices in technical techniques to detect and limit web services footprinting?
* What are the methods to leverage social engineering outcomes to technical wireless and web hacking methods?
* Provide a Christian worldview perspective on why to defend against web service hacking.

Instruction: You should submit a number of graphs as one PDF file. Include a caption on each figure to explain what it is
showing including identification of different data sets. The excel file containing data
needed to complete the assessment is on Moodle page.
Question1: 30 Marks
Use Origin software to graphically show the polarisation curves from runs 9, 10 and
11, as well as their corresponding power curves on a secondary y axis. It should be
clear on the graph which curves are which, and colour schemes or symbols should be
used to link the two types of data from each run to each other (i.e, the polar curve
and power curve from each run should have some link in their formatting). In addition,
the peak power data point should be clearly annotated for each power curve. Finally,
as an inset graph, the average polar curve for all 19 runs should be plotted with the
dispersion of the data represented in whichever way you think best, but an indication
about which method of dispersion you have chosen must be included.
Summary of task 1: One graph should show polar curves and power curves (with peak
power annotations) from runs 9, 10 and 11, with an inset of the average polar curve
and data dispersion.
Question 2 – 30 Marks
The graphs from the three tutorials linked in the ‘Part 2’ section of the Origin workshop
tab on Moodle, as well as the fourth example you chose, should be replicated as closely
as possible to the examples in the tutorials. There are a couple of issues with the data
provided for tutorial 3, and the z axis will not come out with the same frequency range
as displayed in the example here – keeping it as A12 etc, is fine. Additionally, some
versions of Origin will have a different method of drawing a vertical line for tutorial 1
– you might need to go to ‘graph>draw line’ instead of ‘insert>straight line’.
Please provide the link to the tutorial you chose for tutorial 4 in your submission
document.
Question 3 – 40 Marks
For this part, you are given some EIS data (sheet 2 of the provided excel file) collected
at multiple potentials. You should plot this on a ‘3D’ waterfall plot that clearly shows
how the spectra change over voltage range. For EIS data it is vital than the x and
y axes (Real and Imaginary parts of Z) have the same size scale – i.e. 10 Ohm
cm2 should be the same length on both axes. An example of this data plotted is given
below, however you should vary the presentation and add your own aesthetics to this
graph. Please be aware that the data you are given in this section is in Ohms
– the area for the experiment is 0.1968 cm2, so you might need to process
your data to get the correct numbers…

List two major security system maintenance concerns and ways to mitigate?
Please include at least 2 references and examples. Relevant real life examples are recommended to support your findings.
Thank you

For Part A, B, and C you can use MS Visio or ERD Plus tool. You are required to submit ERDs for
each section. I can only provide full grade if all answers/diagram are labelled precisely.
Part A Section 1 – you need to have individual entity
Part A Section 2 – you need to join all individuals entities based on relationships defined
Part B – You need to provide revision to Part A- Section 2 based on criteria defined in the
question.
Part C– You need to provide revision to Part B based on criteria defined in the question.

Modify and extend “mypaper” to a 8 pages paper with the template paper and the contents. You will add an introduction similar to the template paper. For the abstract, make the format like “given inputs…….we,,,,,, . The problem is…… In related work….. In contrast…. To addresss these questions….. Experiment results….” like the template paper. Add things to later parts.

Find an opensource tool for system or memory analysis. Describe the tool and how it can be used for incident response. Include a link to the tool.

nstructions
One of the fundamental tasks of a cybersecurity professional is protecting the organization’s data. There are many things to think about when trying to protect data and plan for potential threats.
In your journal, write about how cryptography is important to cybersecurity. Describe the differences between data in motion and data at rest. Be certain to explain how threat modeling can be used to help protect the organization.
Your entry should be at least two paragraphs long.
Overview
Journals are private and between you and the instructor only. Approach these activities as an opportunity to reflect upon and apply what you learn each week based on the assigned readings, discussions, and activities. As a successful professional, you will need good reflective and writing skills. Journal activities offer you the opportunity to develop these skills further. The journal entries in this course are graded separately.
Prompt
First, complete the assigned readings for the week. Then read the journal prompt and write a reflection. Your journal entry should be two paragraphs long and address the prompt provided in each module.
In your response, be certain to address the following critical elements:
Critical Thinking and Reflection: Support the claims with relevant examples of previous and logical thought processes.
Integration and Application: Show excellent depth of knowledge of the module content and exhibit careful consideration of the topic.
Voice: Write in a style that is appealing and appropriate for the intended audience and use a consistent voice that is evident throughout.