Chapter 06: cloud computing trends

Copyright © Huawei Technologies Co., Ltd. 2019
Cloud Computing Trends

Foreword
 Cloud computing has become the foundation of a range of important applications.
At the same time, other technologies are also driving the further advancement of
cloud computing. This chapter focuses on the relationship between cloud
computing and related fields, and introduces you to some of the new
technologies related to cloud computing.

Objectives
 Upon completion of this course, you will:
 Be able to describe key technologies that underpin cloud computing.
 Understand the relationship between cloud computing and other fields.
 Understand some of the most prominent cloud computing trends.

Contents
1. Fields Related to Cloud Computing
2. Cloud Computing Technologies
3. Cloud Computing Trends
4. Other Emerging Technologies

IoT
 The Internet of Things (IoT) is the concept of connecting everything through the
Internet, including all sorts of communication and interaction: people-people,
people-things, and things-things.

Main IoT Technologies
$ $
BILL
RFID
Sensors
Embedded Systems

Big Data
 Big data refers to data sets that are too large or complex to be handled by
traditional data-processing application software.
 Such data sets are generated by the IoT. Due to a radical increase in total IoT
connections, ever more massive data sets will be generated.

Characteristics of Big Data
Volume: the amount of data
Velocity: the speed at
which data is generated
Variety: the different types
of data
Value: the value that can
be extracted from data

Big Data Processing
Collect Transmit Store Process Analyze Search Mine Use
Data
Knowledge
Information
Intelligence
Cleanse
Associate
Use
Collect

Artificial Intelligence
 Artificial intelligence (AI) is an area of computer science that focuses on the research into and
development of theories, methodology, technology, and application systems for simulating
and extending human intelligence with machines.
 Applications of AI include robotics, speech recognition, image recognition, natural language
processing.

Computing power is a
prerequisite for applying AI
algorithms to extract value from
massive data sets.
Big data, computing power, and
algorithms are input that will create
meaningful output only if applied to
practical business scenarios.
Elements of AI
 Big Data  Computing Power
 Algorithms  Scenario
Artificial intelligence is intelligence
acquired and summarized by big
data analytics.
Algorithms are the fundamental
way by which AI is realized, and
an effective method to extract
data intelligence.

Virtual motion
system
Virtual motion
system
Virtual motion
system
Cloud
computing
Mobile
Internet
Traditional
Internet
Big
data
IoT
Audio
collector
Video
collector
Air, water,
and soil
sensors
Office
equipment
Household
appliances
Production
equipment
Virtual sensing
system
Virtual visual
system
Virtual auditory
system
Cloud Computing, IoT,
& Big Data

The 5G Era
 5G refers to the 5th generation of mobile communications technologies and
standards.
Enhanced mobile
broadband
Reliable,
low-latency
Massive
number of
connections

How 5G Works: Network Densification
4G
5G

Containers
 Containerization is a lightweight virtualization technology that uses OS-level
virtualization. Several containers (isolated user-space instances) can be created
on each operating system, each of which is allocated only a subset of the
computer's resources.

Docker
 Docker is an open source application container engine. It allows developers to
pack their applications and dependency packages into a portable container, and
later run them on any other Linux machine. The sandbox mechanism is used for
containers, eliminating any interface between containers.

Docker Technology - Differences Between
Containers and VMs (1)

Docker Technology - Differences Between
Containers and VMs (2)
Difference VM Docker
Size
Boot speed
Integration

Docker Elements
 Image
 A Docker image is a read-only template used to create Docker containers. Docker provides a
simple mechanism to allow users to create images or update existing ones. Users can also
download images created by others and use them without making any changes.
 Container
 Docker uses containers to run applications. A container is a runtime instance of a docker image.
A container can be started, started, stopped, and deleted. Each container is an isolated and
secure platform.
 Repository
 A repository is a set of Docker images. A Registry is a hosted service containing repositories of
images. Each image has a unique tag.

Docker Architecture
Docker Client
Host
Docker daemon
container 1
container 2a
container 2b
Image 1
Image 2
Registry
repository 1
repository 2
Image 1
Image 3
Image 2
Image 4

OpenStack
 Began in 2010 as a joint project of Rackspace Hosting and NASA, OpenStack is
a free open-source software platform for cloud computing. OpenStack requires
contributions to be released under the Apache 2.0 license.
OpenStack is a free open-source software
platform for cloud computing.

OpenStack Components
Nova Swift Cinder
Ceilometer
Neutron Keystone
Glance Heat
Compute Object Storage Block Storage
Network
Image
Authentication Metering
Orchestration
Horizon
Dashboard
(UI Console)

Cloud Computing Trends
Cloud giants are strengthening
cooperation, leading to a more
concentrated market.
Cloud providers are
using more AI.
Hybrid cloud and
industry cloud are
gaining momentum.
There is an emerging trend
toward cloud-device
integration.

Cloud Computing Extensions
Security
Latency
Network
Congestion Edge
Computing
Fog
Computing

Fog Computing
 Fog computing is an extension of cloud computing services to the edge of the
network to decrease latency and network congestion. Fog computing uses edge
devices to carry out a substantial amount of computation, storage, and
communication locally, instead of storing all data in cloud data centers.
Cloud DC
Fog Fog
Core
Network

Edge Computing (1)
 Edge computing creates an open platform that integrates core capabilities
including network, compute, storage, and applications at the edge of your
network, to process data where it is being generated.
Cloud DC

Edge Computing (2)
Bandwidth/Server Access
Frequency
Gaming
Smart
Home
HD Images
Video
Surveillance
ITS
Smart
Transportation
IoT/M2M
SNS
Storage
Web
Search
Web
Services
Cloud
Computing
Edge
Computing
Timeliness
Low latency
HD video, bandwidth-intensive
Transmission network efficiency
High-quality user experience

Microservices
 Microservices are a software development technique that structures an application as a collection of
loosely coupled, fine-grained services. In a microservices architecture, lightweight communication
protocols are used, often HTTP resource APIs. The services are built around functionalities and
deployed independently and in a fully automated manner. The need for centralized management is
minimized. The services can be written in different languages and use different storage types.

Pros and Cons of Microservices
Independent deployment, flexible scalability
Effective resource isolation
Optimized development teams
Pros Cons
Complex development and testing
process due to project splitting
Difficulty of ensuring data consistency
between services

Serverless (1)
 Serverless computing is a model for building and managing microservices-based
architectures. It allows you to manage your application deployment on a per-
service level, rather than a per-server level.
 Function as a Service (FaaS): The service provider provides a platform where the
developer develops, runs, and manages their applications without the need to build
and maintain an infrastructure.
 Backend as a Service (BaaS): The service provider provides a serverless backend,
also known as backend as a service for the mobile application developer. BaaS shifts
backend functions including data/file storage, account management, data collection,
operation analysis, message push, and social media integration to the cloud, allowing
the developer to focus on their apps’ frontend.

Serverless (2)
Build a framework that runs
on a server to respond to
multiple events.
Build or use a separate
microservice or function to
respond to each event.
Previously
Now
IDC IaaS PaaS BaaS/FaaS
Users don’t have to worry
about physical resources.
about middleware.
about the backend.

FaaS Characteristics
No need
for O&M
Able to
focus on
the code
Quick
boot,
short life
cycle
Infinite
elasticity
Automated

BaaS Benefits
Higher Efficiency
Reduces costs associated
with mobile application
development environments
and improves efficiency.
Faster TTM
Allows developers to focus on
their apps rather than backend
functions, and reduces
operational costs of apps after
launching.
Reduce Resources Needed
to Launch Apps
Fewer developers and IT
resources are required.
Optimized for Mobile
Phones and Tablets
BaaS providers have spent a
considerable amount of time
and resources on optimizing
mobile application data and
networks.
Secure and Elastic
Infrastructure
BaaS provides bundled
infrastructure services,
relieving developers of the
burden of ensuring elasticity,
security, and performance.
A Full Collection of
Common APIs
BaaS offers a full collection
of commonly used third-party
APIs, sparing developers the
hassle of collecting these
resources.

Quiz
1. Which of the following is not an element of artificial intelligence? ( )
A. Big data
B. Cognitive analysis capability
C. Computing power
D. Scenario
2. The only function of the Internet of Things is to collect the data generated by connected
objects.
A. True
B. False

Summary
 Fields Related to Cloud Computing
 Cloud Computing Technologies
 Cloud Computing Trends
 Other Emerging Technologies

Recommendations
 Huawei e-Learning website
 http://support.huawei.com/learning/Index!toTrainIndex
 Huawei Support case library
 http://support.huawei.com/enterprise/servicecenter?lang=en
 HCIA-Cloud Computing v4.0 online forum
 https://forum.huawei.com/enterprise/en/Huawei-Official-Communication-Channel-
HCNA-Cloud-Certification-Course/thread/456287-911

Chapter 06: cloud computing trends

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Chapter 06: cloud computing trends