Cloud Computing and Edge Computing(CTO Kieun Park) - Edge Computing Seminar

Cloud Computing and Edge Computing,
Friend or Foe?
2019.1.18

Clo ud Co mputi ng a nd E dge Co mputi ng, Fri end o r Fo e?2/
Wave of Innovation
Cloud
IoT
Edge
AICloud
As-a-Service model at the heart of IT transformation
Compute resources prepared for economies of Hyperscale
IoT
Collect signal data from hundreds of sensors and devices
Cloud for data storage and analytics
Edge
Distribute some of the computing capabilities of the cloud to IoT edges
Intelligence offload
AI
Intelligence Combined with Cloud and Edge
This document has been translated based on Naver Papago service.

Contents
Cloud computing technology is becoming more common and more applicable to a
variety of industries. As technologies such as 5G and IoT are emerging recently,
interest in edge computing is also increasing.
Cloud computing, edge computing, is a kind of conflict, a convergence of views.
Take a look at the technology trends of edge computing, also Let's take a look at
what it's like to look at cloud computing.
Lastly I’ll introduce how Naver Cloud Platform prepare for Edge computing

NAVER CLOUD
PLATFORM
01

NAVER CLOUD PLATFORM
Start secure,
Protected by world-class security technology
Whatever you run in our cloud,
we’ll protect it using multi-layered
secure infrastructure
Run your service,
On the stable and reliable infrastructure
You can believe that
your service will not stop
due to infrastructure fault
Solve problem,
With our experts and engineers
Our expert team can be with you
every steps of your cloud use

AI-as-a-Service,
Of ready-to-use pre-trained models
You can improve your service easily
with several cognitive APIs provided by our cloud,
also with machine learning frameworks
Optimize your cost,
Always competitive pricing policy
We can help you to optimize your IT expense
Go global,
Expand your service traffic through our global network
Our global region and inter-region private network
(leased line global backbone)
provide low latency and fast responsiveness
for your global service

Service
Portfolio
GLOBAL SERVICE
SUPPORTHYBRID CLOUD
Global Backbone Network
Global Region : Korea, Japan, Singapore, Hong Kong, US-West, Europe,
US-East, Thailand, Taiwan, Vietnam, China
Global Latency Status
COMPUTE STORAGE NETWORKING
Auto
Scaling
Server SSD
Server
Bare
Metal
GPU
Server
Block
Storage
NAS Object
Storage
Archive
Storage
Load
Balancer
NAT
Gateway
DNS GRM CDN IPSec
VPN
MANAGEMENT SECURITY
Monitoring
Sub
Account
Cloud
Activity
Tracer
Web Service
Monitoring
Network
Traffic Monitoring
ACG
Secure
Zone
(Firewall)
Security
Monitoring
(IDS, IPS, WAF)
File/Site/App
Safer
System/Web/App
Checker
SSL
VPN
Compliance
Guide
KMS
BIZ APPLICATION MARKET PLACE
DATABASE ANALYTICS MEDIA
Cloud DB
for MySQL
Cloud DB
for MSSQL
Cloud DB
for Redis
MSSQLMySQL
PostgreSQL
MariaDB
CUBRIDRedis
Cloud Log
Analytics
RUA ELSA Image
Optimizer
VOD
Transcoder
Live
Transcoder
AI SERVICE APPLICATION SERVICE
CFRCSSCSR
KNRNMTSMT
Tensorflow
Server
Tensorflow
Cluster
Workplace (g)
Workplace (k)
SaaS Solution ISV Solution
Education
Geo
Location
Maps CAPTCHA
Short
URL
API
Gateway
Search
Trend
DEV TOOLS
Simple
RabitMQ
SENSJenkins Source
Commit
Biz Support
Partner Support
Tech Support
Customer Support
(*) As of Nov. 2018
HPC
Data
Teleporter
Chatbot
Backup
Docker Registry
Cloud Connect
Outbound
MailerPinpoint
Cloud
Hadoop
Cloud
Search

One of Fastest Growing Cloud Service Providers
22
2017.3
1 1
Number of services Number of regions Supporting language
2018.12
6
2
110
78
2017.12
6
2
+56
Six/per month
Three/per month
+32

Reference
Game
79+
Finance /
Healthcare
57+
Public Sector
27+
Online Service /
IT Solution
552+ Education /
Media
388+
SMB / Start-up
232+

Key Customers
Game Online Service (Web, Mobile, e-Commerce)

Key Customers
Public Sector / Healthcare / Finance Enterprise / SMB
Industry

Global Regions
NBP has infrastructure locations in 10 countries and dedicated global backbone network
Provides six cloud regions and inter-region private network

State-of-The-Art AI Technology
AI service based
on the newest
technology
Learning based
on Naver’s
abundant data
High performance
computing power

Business Solutions

Collaboration with Global Leading Company

Cloud Computing and
Edge Computing
02

Cloud Edge Computing: Beyond the Data Center
For the past decade, centralized cloud computing has been considered a standard IT
platform. Although you can see cloud computing everywhere, growing demands and
workloads have begun to reveal their limitations.
New applications, services, and workloads require a different type of architecture, not an
architecture built to directly support a distributed infrastructure. To support today's
needs (retail data analytics, network services) and future innovations (Smart City, AR /
VR) at remote sites, new availability and cloud capabilities are required.
Recently, companies have begun to simplify, manage, and apply cloud computing
architectures to distributed infrastructures across multiple sites and networks with
flexibility. Organizations across WAN networks and increasingly need cloud
capabilities to support smaller deployments outside the network edge.
OSF Edge Computing Group: Cloud Edge Computing: Beyond the Data Center

CLOUD COMPUTING & EDGE COMPUTING

Cloud Computing
Gartner
Cloud computing is a critical
component of business and IT as
next-generation technologies
and initiatives (such as digital
business, the IoT and artificial
intelligence) storm into reality.
Cloud Computing Primer for 2018
❝
❞
HARVARD BUSINESS REVIEW
The ability of “renting” IT
resources has also aided
young firms to survive and
increase productivity.
Research: Cloud Computing Is Helping Smaller, Newer
Firms Compete
❝
❞
Image Source: iStockphoto

For its DX strategy based on innovation and speed, the cloud is rapidly expanding its
market presence in Korea with an agile and flexible architecture
In a regular IDC survey of C-level executives in the Asia-Pacific region, 56 percent of
domestic respondents said cloud is their main investment destination for the year.
This is higher than the average of 47.8 percent for the entire Asia-Pacific region,
indicating that Korean companies are more willing to embrace the cloud.
Financial and public sectors are also accelerating their efforts to create a foundation
for cloud service utilization in a variety of industries, including more specific
regulatory improvements and security considerations associated with cloud use.
In the meantime, the enterprise IT environment has a mix of legacy and
private cloud models, the public cloud model has been expanded and the
hybrid model has been in full swing, focusing on the areas of innovation
such as artificial intelligence, big data analysis, IoT, and blockchain.
Cloud Trends Report (by IDC)Source: IDC Analyst Connection, June 2018, Steffi Han

Cloud Computing Enables A Connected World
Connected Manufacturing
Connected Logistics
Connected VehicleConnected Ship
Connected Car
Connected Smart City
https://www.bosch.com/products-and-services/connected-products-and-services/industry-4-0/
http://www.nyc.gov/html/dot/html/pr2016/pr16-094.shtml
https://www.vesselfinder.com/news/10129-Inmarsat-signs-new-MoU-with-Samsung-Heavy-Industries-to-deliver-smart-ships

Edge Computing
Gartner : What Edge Computing Means for
Infrastructure and Operations Leaders, Oct 2018
“Around 10% of enterprise-
generated data is created and
processed outside a traditional
centralized data center or cloud. By
2022, Gartner predicts this figure will
reach 75%”
❝
❞
IDC FutureScape: Worldwide IoT 2018 Predictions
“By 2020, IT Spend on Edge
Infrastructure Will Reach up to 18%
of the Total Spend on IoT
Infrastructure, Driven by
Deployments of Converged IT/OT
Systems That Reduce the Time to
Value of Data Collected from Their
Connected Devices”
❝
❞

Edge Computing
Cambridge 영어-한국어 사전
삼성전자 뉴스룸: 엣지 컴퓨팅, 클라우드 컴퓨팅 시대의 새 장(場) 열다
“The English word "edge" is used in two main meanings.
One is the high-tech (or edge) edge of an object and the
other is the blade part of a tool that uses sharp surfaces,
such as a knife or scissors.. ”
“In the end, the edge in edge computing is related to both
dictionary meanings. First, unlike cloud computing so far,
computing devices are not located in remote centers, but in
the "edge" of devices that are close to the device. Second, it's
a computing system that tries to leap to a new level with the
blunt 'day' of the traditional data processing methods of
today's exponential growth -- Samsung Electronics Newsroom: Edge
Computing Opens New Chapter in the Age of Cloud Computing, 2017.5
of today..”

Edge Computing
Gartner’s defines edge computing thus:
Edge computing is a part of a distributed computing topology
where information processing is located close to the edge,
where things and people produce or consume that information.
-- Gartner How Edge Computing Redefines Infrastructure, Aug 2018 Edge computing is not a small
data center or a small computer
that operates alone, but requires
central data center or cloud
services that serve as a core as
part of a distributed computing
topology.
The physical location of Edge
computing may be embedded
intelligence, in buildings, in cities,
or even larger. Edge to Core
Edge computing is a
combination of hardware and
software for data processing,
performing functions ranging
from simple data storage and
filtering to complex data analysis
and machine running
Gartner, How Edge Computing Redefines Infrastructure, Aug 2018

Edge Computing
Image Source: Gartner, How Edge Computing Redefines Infrastructure

Five Imperatives Driving Edge Computing
Gartner, The Future Shape of Edge Computing: Five Imperatives, Jun 2018
Latency/Determinism
• Cloud computing has revolutionized the back-end affordability of enterprises, but faster response
speeds require lower latencies caused by distance on the network
• For example, factory automation requires determination in tens of microseconds, but in general IoT, it
can be processed in tens of seconds.
Local Interactivity
• Requires a series of interactions between things (device) or users and requires rapid processing
• Interaction between the car and the surrounding environment, for example, between self-driving cars
Data/Bandwidth
• Previously, most data models were sent from the data center to the edge, but now the data coming
from the edge is exploding.
• Data collection capacity and network bandwidth are insufficient to accommodate all data without
screening, requiring selective transmission based on the importance of the data
Privacy/Security
• Some data may be restricted by regulations from being sent out
• edge is inside the office or factory
Limited Autonomy
• For example, things (device) should continue to operate even when communication is lost, and when
communication is resumed, it requires the ability to synchronize itself with the back-end (cloud)
• Edge may require self-machine running

Global datasphere total size worldwide from 2010 to 2025
2 5 6.5 9 12.5 15.5 18
26
33
41
50.5
64.5
79.5
101
129.5
175
0
20
40
60
80
100
120
140
160
180
200
Sizeinzettabytes
0.5 0.5 0.5 0.5 1 1.5 2.5 3.5 5
7
9.5
13
18
25
35.5
51
0
10
20
30
40
50
60
Sizeinzettabytes
size of the global datasphere annual size of real-time data in the global datasphere
Statista 2019, Source: Seagate; IDC; Statista estimates

Latency Requirements
Image Source: Gartner Digital Business Will Push Infrastructures to the Edge, Feb 2018
AT&T Enabling Mobile Augmented and Virtual Reality with 5G Networks, Jan 2017

Cloud Computing and Edge Computing
Gartner Hype Cycle for Cloud Computing 2018, Jul 2018
Most of the technology for creating the physical infrastructure of
edge data centers is readily available, but widespread application of
the topology and explicit application and networking architectures are
not yet common outside of vertical applications such as retail and
manufacturing.

Cloud Computing and Edge Computing
Image Source: 삼성전자 뉴스룸: 엣지 컴퓨팅, 클라우드 컴퓨팅 시대의 새 장(場) 열다
Edge Computing is a combination of IoT, Network, Big Data, Machine Learning,
and Cloud Computing.
Edge Computing and Cloud Computing are not confrontations or replacements,
but are part of an architecture that is designed to overcome limitations of the
past.
For example, machine running in edge computing assumes the link between
edge and cloud and role differentiation. The cloud builds a machine-running
model based on large data sets and complex algorithms, and hands it over to
the edge platform. The edge platform uses that model to process the input
data set in real time. It's a distributed architecture of the machine running
platform in the cloud.
While cloud technology itself does not mean a Centralized Hyper-scale data
center, cloud service providers chose Hyper-scale for economies of scale.
However, cloud and edge co-existence is indispensable due to real-world
constraints that implement the requirements of the service environment and
technology changes (e.g. global optical communication speed, data storage and
the cost of using the cloud's network).

S-IoT for Smart Ship
4.0 Project
03

S-IoT Project for Smart Ship 4.0

S-IoT
Ecosystem Infra
for Smart Ship
4.0
DSME
IntelNBP
Marine Satellite & LTE
Internet Service Provider Ship Equipment Makers
Marine Industry Partners
Cloud & Datacenter
Technology Partnership
S-Iot Hub
IoT Gateway Technology
Global Marketing
S-IoT Cloud Portal
Big Data & ML Technology
Cloud Platform
S-IoT Ecosystem
Shipbuilding & Marine Technology
R&BD, Sales

Smart Ship
Image Source: https://www.alphaori.sg/SMARTShip.php
Voyage / fuel optimizationFleet monitoring / group data Remote monitoring / diagnostics
Smart notification / anomaly detection Predictive maintenance Log and report

Value Chain of Smart Ship
Ship Owner
Ship Operator
Cargo Owner
Shipyards
Equipment
Manufacturers
Classification
Societies

“Cloud-based SmartShip 4.0 service infrastructure is a ship management platform that can
collect data in real time in conjunction with technologies such as cloud and Internet of Things (IoT)
and implement pre-repair with accumulated data analysis.”
• Highly reliable IoT hub equipment
Various communication/data transmission methods, control and management of various IoT devices
Enhanced cybersecurity policies and techniques
Various cloud services for shipowners, shipping companies, shipbuilders, and equipment suppliers
Connectivity equipment visualization, data visualization, integrated dashboard (ex.
Operations/Equipment/Environment/Performance/Disability Monitoring)
The results of machine running-based data analysis are reflected in the design of ships and
equipment.
“The three companies are also planning to establish a "SIoT(Ship IOT)" cluster, a
technology ecosystem that works with small and medium-sized companies in
South Korea. The SIoT cluster aims to develop various technologies and services
for smarts based on pure domestic technology.”

Cloud IoT Platform Architecture
IP 가능 장치
기존 IoT 장치
저전력 장치
Sensor
IoT Client
Sensor
IoT Client
Sensor
IoT Client
IoT Gateway
Analytics
Device connection Data Processing and Analysis Presentation
Rule Engine
DB
f()
UI
API
IoT Service
State
Rule Engine
DB
f()
Device Mgmt
API
IoTHubProvisioning
UI
EventHubAPIGW/ServiceBus
MessageIntegrationAPI/ServiceIntegration
Big Data / BI
Streaming Analytics
Containerized Apps
Object DB
Analytics / ML
Rule Engine
DB
Micro Service
DB
ProcessMgmtEnterpriseApps
ServiceBLUI
Platform / On CloudEdge / On Ship
MQTT
AMQP
HTTP
MQTT
AMQP
HTTP
BLE
ZigBee
WIFI
Wired
MQTT
AMQP
HTTP
REST
HTTP
KAFKA
REST
SOAP
HTTP

Global Cloud Regions and Edge Computing

NAVER CLOUD
PLATFORM
04

IoT Platform
• IoT platform that can be used in various industrial areas such as factories, farms,
buildings, and logistics storage
• Provides a variety of repositories for storing and analyzing IoT data from devices
• Various hardware equipment such as PLC, Sensor, Node, Gateway, etc., LoRa,
Sigfox, NB-IoT, Wifi, BLE, Zigbee, etc.

Cloud Functions
• Action
• State code fragment to perform one specific
operation~ Function
• Write JavaScript, Swift, Java, Python, PHP, etc.
Runs as Docker Container
• Trigger
• Events that occur externally or internally are
linked to an action via a trigger, which performs
an action to respond to these events.

• Managed Platform Products
• Creating and Setting up a Kubernetes
Cluster
• Web UI, CLI, API
• Multi-infrastructure Configuration
Delivers High Availability for Cluster
Node Failures
• Master is assigned by pool and HA
configuration provides high availability
Provides storage for Persistent
Volumes
• Provides monitoring via Heapster
• Interworking with Container Registry
Products
• Interworking with Jenkins Service
Kubernetes Cluster Service and Container

Tensorflow Serving Service
https://towardsdatascience.com/deploying-keras-models-using-tensorflow-serving-and-flask
• After learning/training the ML/DL model with data, the
environment for future actual service, actual application execution
is required. Inference with ML/DL models (serving)
• NAVER CLOUD PLATFOMR is developing a Tensflowing service as a
platform service
Training Serving
IoT API MobileWeb

Run Your Services
on The Same Infrastructure and Technologies of NAVER, LINE and SNOW.
Get Growing for Your Business with NAVER Cloud Platform.
Let’s Get Started!!
Stable and
Reliable
Infrastructure
World-class
Security
Competitive
Pricing
Policy
Innovative
Technology
(AI)
Global
Infrastructure

Thank You.

Cloud Computing and Edge Computing(CTO Kieun Park) - Edge Computing Seminar

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Cloud Computing and Edge Computing(CTO Kieun Park) - Edge Computing Seminar