Highlights
Background
The concept of a "Galactic Network" was developed by J.C.R. Licklider in 1969. Galactic Network was set to allow users to access and exchange data from anywhere in the world. Many believe that this was the start of the cloud-computing era! However, cloud computing didn't start to take on the shape we are accustomed to until the early 2000s.
Modern businesses and industries depend heavily on cloud computing because it offers a flexible and economical way to store, manage, and analyze data & applications. Cloud computing technologies have completely changed how we communicate and collaborate, and they will probably continue to evolve and see new advances in the years to come.
Accenture, one of the Fortune 500 companies, is a leading global company specializing in IT services and consulting. In 2021, Accenture published the results of worldwide research in which they collected data from various organizations in different countries across different industries. The report, entitled ever–ready for every opportunity: how to unleash competitiveness on the Cloud Continuum (the full report is accessible through Moodle under the Session 1 and 2 section), listed the following 25 technologies enabled by the Cloud Continuum:
Cloud
Cloud SaaS/Software as a Service (i.e., Salesforce Sales Cloud, Workday)
Cloud IaaS/Infrastructure as a Service (i.e., Amazon Web Services EC2, Azure IaaS)
Cloud PaaS/Platform as a Service (Amazon Web Services Elastic Beanstalk, Force.com, Heroku)
Hybrid Cloud (mixed computing, storage, and services environment made up of on-premises infrastructure, private cloud services, and a public cloud, i.e., Microsoft Azure Arc, Amazon Web Services Outpost)
Serverless Computing (i.e., Amazon Web Services Lambda, Microsoft Azure Functions)
Cloud Native Applications – custom (runs in Cloud end-to-end, i.e., written, tested, and deployed in the Cloud, using cloud-based technologies and services and not just rehosted)
Containers (i.e., Running on Docker, Microsoft containers)/ Kubernetes.
Microservice Architectures (arranges an application as a collection of loosely coupled services)
Multi-cloud (use of multiple cloud computing and storage services in a single heterogeneous architecture)
Real-time Data Capture and Analysis
Data Lakes (data repository)
Streaming/real-time data
Big data analytics
AI and Automation
Deep Learning
Physical Robots
Vision Systems
Natural Language Systems
Tiny ML
Federated Learning
RPA (Robotic Process Automation)
Internet of Things
Internet of Things (IoT)
Edge/Fog Computing
Security
Cyber Threat Intelligence (CTI)/Active Defense: Systems that anticipate, detect, analyze and respond to external threats such as malware, hacks, sovereign threats, etc.
Endpoint Detection and Response: Systems that monitor endpoints to detect threats to network and devices
SIEM (Security Information and Event Management): Capabilities allowing firms to collect logs from throughout the network, normalize that data, and analyse it for security events. Also, you may consider SOAR (Security Orchestration and Automation Response).
Trust-based Architectures: Architectures allowing privacy-protecting ML models, such as federated ML, tiny ML, secure multi-party computation, differential privacy, encrypted computation, and others, to happen at the edge. You may also consider the Zero-trust topic.
Your Task
Your task is to select ONE technology from the list provided and write a comprehensive report about it. You will carry out a literature review on the chosen cloud computing technology. The literature review should include the latest research and development in this area, identifying possible issues/opportunities facing organizations when adopting this technology, and recommending improvements. The report may include, but is not limited to, the following areas:
Presentation
Each student must record/create a short presentation explaining their report's key findings and highlights. Students can use any multimedia tool to record the presentation. The presentation must:
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