• General presentation
  
• Course:
  • Distributed Systems. Basic concepts (I).
• Laboratory:
  Discussions:
  • Brewer Theorem - CAP
  • PACELC
  • Shared Memory versus Message Passing
  • Register here.
  • Homework 1. Read the document for details.
  
  

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• Courses [14:00-20:00]
  • 14:00 - 16:00 - Prerequisites before Cloud Computing
  • 16:00 - 18:00 - Distributed Systems. Basic concepts (II).
  • 18:00 - 20:00 - Distributed systems principles applied in Cloud

• Course[March, 8 - 10:00-12:00]: Cloud Service Providers

• Laboratory [14:00 - 20:00]: Discussions over Homework 1. Don't forget to register (use the link from Discord)

• Course[March, 14 - 08:00-10:00]: Virtualization in Cloud

• Course:
  • [14:00-16:00] Course: Google Cloud Platform
  • [16:00-18:00] Distributed Systems. Basic concepts (III).
• Laboratory [18-20]: Cloud Services & Various Communication mechanisms
• Training Credits | Google for Education
• Google Cloud
• Google Cloud Platform Tour
• Google App Engine, Google Cloud Storage, Google Prediction APIs.
• NodeJS in GAE (from March 2016)
• IAM - Cloud Identity and Access Management
• Real-Time Web Technologies
• Let's remember!: WebSockets, REST APIs, HATEOAS
• Introducing WebSockets
• What Are Web Sockets?
• Web Socket API
• Web Socket - exemplu
• PHP - websockets
• Jetty
• Cloud Native Computing Foundation
• gRPC
• AWS Well-Architected Tool to review your app architecture
• Homework 2:
  • A) Create a distributed application that uses a cloud ecosystem (e.g. Google, Amazon, et.al.). Requirements - the application has at least three components:
    - one is using at least three native cloud services (one is Statefull)
    - the other can be an on-premise application but is required to use at least one service from Google Cloud (or similar services for other Clouds Providers): Cloud BigTable, BigQuery, Cloud DataProc, or services such as Cloud Endpoints, Prediction API
    - the other is a FaaS (AWS Lambda, Google Cloud Functions, IBM OpenWhisk or Microsoft Azure Functions)
    At least one Real-Time Web Technology (e.g. WebSocket, gRPC) must be used in a proper manner in your system. (Don't forget about performance metrics that fit to your distributed application). More details are offered during the laboratory.
  • B) Create a scientific report based on the services chosen in point A, which are used in various distributed architectures of real systems (e.g. Twitter). Analyze the characteristics of your system: performance, latency, reliability, transparency dimensions et.al (see our courses)

• [14:00-16:00]Laboratory: P2P Discussions over Final Projects & Some Homeworks[2]
• Presentation & Hands-on Lab [16:00-20:00]: Containers&Kubernets
• To be installed before:
  • Docker Desktop - https://docs.docker.com/desktop/
  • Kubernetes local, with Kind - https://kind.sigs.k8s.io/docs/user/quick-start/#installation (if there are issues with, you can use minikube: https://minikube.sigs.k8s.io/docs/start/)
  • kubectl binary: https://kubernetes.io/docs/tasks/tools/#kubectl
• Supplimentary resources:
  • Kubernets overview
  • AKS

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• Faculty of Computer Science organize the Spring School for students on topics of Cloud/Edge Computing, Network Communication Architectures, Virtualisation Technologies, 5G Networks, Security in Distributed Systems
• Notice: The topics addressed in the SpringSchool cover multiple directions addressed in our courses, but some are required and participation in them is considered as the advanced recovery of these thematics.
• Other details regarding participation to these courses are given through your email, after your REGISTRATION
• The REQUIRED courses from this SpringSchool 2025:
  • March 31 - [10:00-11:00] Interactive Education with Cisco NetAcad: IoT Lab in Packet Tracer
  • April 1 - [09:00-10:45] Google Agent Space
  • April 1 - [13:00-14:00] Increase Development Efficiency with Continuous Integration & Testing
  • April 2 - [12:30-16:30] Introductory course on the principles, case studies, and basic methods of system design, with applications in the field of telecommunications
  • April 3 - [15:00-16:30] Edge Computing: Bringing AI Closer
  • BONUS! Participarea activa la activitatile propuse in 31 Martie - 3 Aprilie 2025 poate conduce la un bonus de 1p la nota finala. Nu uitati sa va treceti pe foaia de prezenta care va fi in fiecare dimineata disponibila la intrare.
• Course was recovered in advance.
• Laboratory [14:00 - 16:00]& [18:00 - 20:00]: Discussions over Homework[2].

Week 7

Week 8