Cloud Computing

Cloud Computing
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2 minute read

E534 Cloud Computing Unit

Full Slide Deck

Overall Summary

Video:

Defining Clouds I: Basic definition of cloud and two very simple examples of why virtualization is important

  1. How clouds are situated wrt HPC and supercomputers
  2. Why multicore chips are important
  3. Typical data center

Video:

Defining Clouds II: Service-oriented architectures: Software services as Message-linked computing capabilities

  1. The different aaS’s: Network, Infrastructure, Platform, Software
  2. The amazing services that Amazon AWS and Microsoft Azure have
  3. Initial Gartner comments on clouds (they are now the norm) and evolution of servers; serverless and microservices
  4. Gartner hypecycle and priority matrix on Infrastructure Strategies

Video:

Defining Clouds III: Cloud Market Share

  1. How important are they?
  2. How much money do they make?

Video:

Virtualization: Virtualization Technologies, Hypervisors and the different approaches

  1. KVM Xen, Docker and Openstack

Video:

  1. Clouds physically across the world
  2. Green computing
  3. Fraction of world’s computing ecosystem in clouds and associated sizes
  4. An analysis from Cisco of size of cloud computing

Video:

Cloud Infrastructure II: Gartner hypecycle and priority matrix on Compute Infrastructure

  1. Containers compared to virtual machines
  2. The emergence of artificial intelligence as a dominant force

Video:

Cloud Software: HPC-ABDS with over 350 software packages and how to use each of 21 layers

  1. Google’s software innovations
  2. MapReduce in pictures
  3. Cloud and HPC software stacks compared
  4. Components need to support cloud/distributed system programming

Video:

Cloud Applications I: Clouds in science where area called cyberinfrastructure; the science usage pattern from NIST

  1. Artificial Intelligence from Gartner

Video:

Cloud Applications II: Characterize Applications using NIST approach

  1. Internet of Things
  2. Different types of MapReduce

Video:

Parallel Computing Analogies: Parallel Computing in pictures

  1. Some useful analogies and principles

Video:

Real Parallel Computing: Single Program/Instruction Multiple Data SIMD SPMD

  1. Big Data and Simulations Compared
  2. What is hard to do?

Video:

Storage: Cloud data approaches

  1. Repositories, File Systems, Data lakes

Video:

HPC and Clouds: The Branscomb Pyramid

  1. Supercomputers versus clouds
  2. Science Computing Environments

Video:

Comparison of Data Analytics with Simulation: Structure of different applications for simulations and Big Data

  1. Software implications
  2. Languages

Video:

The Future I: The Future I: Gartner cloud computing hypecycle and priority matrix 2017 and 2019

  1. Hyperscale computing
  2. Serverless and FaaS
  3. Cloud Native
  4. Microservices
  5. Update to 2019 Hypecycle

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Future and Other Issues II: Security

  1. Blockchain

Video:

Future and Other Issues III: Fault Tolerance

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Last modified June 17, 2021 : add aliasses (6b7beab5)