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Vocabulary Activity
Vocabulary Activity
Please join our real-time Mentimetre vocabulary building activity to community brainstorm initial field jargon about the Cloud.
Terminology
Terminology
Here is our collective word cloud. Thank you for your responses!
AI: Artificial Intelligence
Big Data: massive amounts of trend-revealing info analyzed
Block Chain: transactions performed in peer-peer network
Cloud: 3rd party, on-demand, pay-as-you-go delivery of IT resources using remote networks
Cluster: set several nodes or servers
Data Lakes: centralized repository that allows you to store all your structured and unstructured data at any scale
Disruptive Technology: an innovation that complete changes the manner in which something is done
Distributed Architecture: resourcing software across separate multiple nodes to achieve common goal
Doxing: malicious sharing of personal information online
Edge: allows data to be processed peripherally
Encryption: means of converting data into code (end-to-end, in transit, at rest, client side)
End Devices: destination of data transmitted online
Fog: intercepting, data-producing, decentralized computing structure
Grid: group of computers virtually networked as Supercomputer to accomplish complex tasks
Hybrid: connects cloud resources to private devices
Internet of Things (ioT): collective network of devices communicating with cloud and each other
Machine Learning: AI subset using data & algorithms to mimic human learning & behavior
Node: physical computers or virtual machines (VM)
On Premise (or private): hosting software on one's own computer
Serverless: cannot see servers, backend services as-needed
Smart Contract: digital contracts automatically executed
Utility: provisional service model
VPC: Virtual Private Cloud
VPG: Virtual Private Gateway
What is Cloud Computing?
What is Cloud Computing?
A Very Brief History of Cloud Memory
A Very Brief History of Cloud Memory
Cloud Memory is a powerful resource that has developed into a useful tool and a practical necessity. In business, education and government, the Cloud has disrupted the physical storage that predated it by linking digital and mobile devices, rendering the ubiquity of the affordances of the Internet a crucial part of daily existence.
However, the massive volumes of data being produced and processed clog servers and data processors necessitating safer, faster, and more specialized environments for different tasks at divergent levels of corporate architecture. On-demand application delivery networks were developed away from central servers to solve this technical bottleneck.
The first computer science degree was offered by Cambridge in 1953, and it didn't take long for computer scientists to turn their attention to connectivity. In the 1960s, computer scientists began to consider the possibility of shared data, storage, and accessibility. Many consider Joseph Carl Robnett Licklider to be the "Father of Cloud Computing" as he laid the foundation for an "Intergalactic Computer Network" with his radical ideas about creating a "digital ecosystem". (Shreyansh, 2023)
Private clouds emerged over the coming decades but around 1997 the economic rationale of cloud memory emerged, and attention turned to the production of public networks. The economic incentive of providing cloud access by exploring pay-as-you-go and subscription options helped push the scale of cloud memory into the stratosphere.
Today's device users have almost wholly embraced cloud memory, however, major issues regarding privacy, security, and environmental pressures have resulted in new problems for humans to solve.
Cloud Computing Models
Cloud Computing Models
IT deployment models include on-premise, hybrid, public, private and multi-Cloud:
Although definitions may vary, the three main cloud computing models are:
Types of cloud computing (redhat.com)
On Premise Computing is what is available locally on the user's hard drive. IaaS is the most basic Cloud structure using only the infrastructure to facilitate network activity. PaaS is a more advanced system that uses Cloud infrastructure in addition to specific platforms that include tools to develop code and applications. SaaS often requires paid subscriptions to software but users do not need to install themselves.
Fog & Edge Computing
Fog & Edge Computing
Cloud computing and cloud memory are not one-size-fits-all. In Fog and Edge computing we encounter different ways of engaging with the cloud, different philosophies of who controls and where data is accessed, and different layers of cloud reality. They may be seen as gateways to data storage. Fog computing enables local control, with area networks controlling access, and response, and enabling data and application storage between the edge layer and the cloud. Edge computing takes place at the periphery of networks. These edge centers used to be local services, however with devices collecting so much more data. Edge devices and cloud access are now located closer to the data collectors, allowing initial analysis and distribution to the appropriate end user. (Techtalk, 2020)
(Winsystems, 2017)
As is the case with any advancement, any disruption, any innovation, there is much to consider as cloud memory is embraced. While it offers much convenience to the average user, users should enter into the cloud memory world with eyes wide open, and with knowledge in hand.
SCOT Analysis
SCOT Analysis
A SCOT analysis strives to examine a subject without bias, and with awareness that strengths, challenges, opportunities, and threats are often intertwined. It is wonderful, for example, to have unlimited storage for our photos. There is challenge, however, if that data is lost or hacked. It is an opportunity to upload a photo and utilize it for education, or media accounts. But there is also a threat when those photos are now owned by a media company, or is accessed by somebody for nefarious reasons. A SCOT analysis allows us to consider these elements of cloud memory.
Strengths
Agility
Consumer access
Unlimited storage
Cost (pay-as-you-go)
No device needed
Automation
Accessibility
Syncability
Shareability
Collaboration
Protection
Recovery
Elasticity
Reduce complexity
Trade upfront & variable expense
Reduce data centre cost
Eradicate guessing capacity
Benefit from economies of scale
Challenges
Data Segregation & Location
Privacy & Security
Electricity & Internet dependent
Energy consumption
Ecological concerns
Data Deletion
Lack of Standard for Service Level Agreement (LSA)
BYOD equity
Bottleneck
Communication latency
Performance instability
Slow response times
Low bandwidth
Efficiency
Generality
Hackable
Vendor Lock-In
Opportunities
Disruptive Technology
AI
Education
Social Justice
Democratize VS Monopolize
Whistleblowers & Changemakers
Block Chain Empowerment
Tradeable Stock Commodity
Multicloud/hybrid cloud
Increase in edge & serverless
Encryption options
-end to end encryption
-encryption in transit
-encryption at rest
-client side encryption (CSE)
Threats
Digital blackmail
Ownership of Personal Data
”Censorship a la carte” (Brockwell, 2023)
Freedom of Speech
Big Data (who controls the archive, controls the narrative?)
Risk assessment (how do companies use/abuse the Cloud?)
Neoliberal Algorithms
Permissions Allowances
The Cloud facilitates seamless integration of data on any device. Its further capabilities include storage, data visualization, statistics, security, device administration, network connectivity management, gateway functionalities, analysis, and real time data processing. These functions are taken for granted as users have come to expect free, fast, unfettered internet connectivity anywhere, anytime, any energy-consuming how. These changes are happening with consequences for education, mobility and AI applications, as well as the environment.
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