Edge Computing—A Part of IoT

Hidenori Yakushiji, Assistant GM New Biz Development Grp., FUJISOFT Inc.

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Agenda

• Role of Edge Computing

• SoC FPGA Solution for Edge Computing

• Edge Computing GW and IoT Solution

• Summary and Next Step

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Role of Edge Computing

Web Services

Search

Social Networking

Service

Voice/Image recognition

Medical/ Healthcare

M2M

Augmented Reality

Machine control

Da

ta V

olu

me

Real-Time

Cloud Computing

Edge Computing

NTT News Release: http://www.ntt.co.jp/news2014/1401e/140123a.html

Edge Computing Accelerates Response Critical Market

Gaming

Smart City

E-mail

Smart House/ Building

Storage

Intelligent Transport

System

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Role of Edge Computing: Value

… Technically, no question. Monetization is the key to balance profits vs. data value

• Upload data downsizing

• Response time

• Absorbing several I/F

• Security and manageability

• Flexibility and upgradability

• Cost

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Agenda

• Role of Edge Computing

• SoC FPGA Solution for Edge Computing

• Edge Computing GW and IoT Solution

• Summary and Next Step

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SoC FPGA Solution for Edge Computing

Optimization using SoC FPGA can offer the best of class cost/ performance on edge computing

Current Edge Computing Solution Next Edge Computing Solution: SoC FPGA

Power

Performance

Cost

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SoC FPGA Solution for Edge Computing: Case Study

SoC FPGA Offloading 1000 : 15

Data Cleansing Filtering

Transform

: :

Valuable Data (<0.08TB/Day)

Sensing Data (5.4TB/Day)

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• Extract specific frequency data

• Perform data cleansing

• Minimize data size

1. Re-sampling for fast Fourier transform (FFT)

2. Singular data filtering 3. Window function for FFT 4. FFT

:

SoC FPGA Solution for Edge Computing: Case Study Details:

Effective Approach : FFT Processing by FPGA

• Vibration data: 10K points/sec

• Getting multiple frequency factors by frequency analysis

• Peaks of specific frequency factors

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SoC FPGA Edge Computing GW Enables Real-Time, Customizable Configuration Usage

SoC FPGA Solution for Edge Computing: Advantages of SoC FPGA Edge Computing GW

Update/Modify System Cost

Initial Cost Physical I/F update

Standard SW Hardware Processing

Capacity

〇: Real-time,

customizable, changeable specification ×: Initial cost

〇: Real-time,

low cost, ×: Fixed specification

〇: Standard software,

Initial cost ×: Real-time

Server

Edge Computing GW

ASIC/ASSP

〇 〇〇 〇

X

〇〇 XXX

X

〇〇 〇 X

〇 〇 〇〇 〇

〇

△ 〇〇〇

X 〇

〇

△ 〇

〇〇〇〇

〇〇〇 X

XX XXX

△

CPU

〇: GOOD △: FAIR X : BAD

SoC FPGA

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Agenda

• Role of Edge Computing

• SoC FPGA Solution for Edge Computing

• Edge Computing GW and IoT Solution

• Summary and Next Step

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Worker’s mental and vital healthcare is a critical issue

Edge Computing GW and IoT Solution: Demo: Target usage model

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Demo: FUJISOFT* Can Offer Total IoT Integration

Edge Computing GW and IoT Solution: Demo platform overview

Public Cloud

Services

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Join in the FUJISOFT* project development and trial! FUJISOFT offers custom features at minimum initial cost

Edge Computing GW and IoT Solution: Demo: Target Spec. of SoC FPGA Edge Computing GW

Edge Side I/F • USB 2.0 host • RS-232/422/485 • CAN • DIN/DOUT • Wi-SUN* • Bluetooth* LE • EnOcean*

• ZigBee*

Cloud Side I/F • Gigabit Ethernet • Wi-Fi* (b/g/n) • WAN (LTE/WCDMA/HSPA)

Operating System Platform • Embedded Linux*

• Other operating system

Assist Hardware • GPS • UPS • Extension slot • Encryption chip

Additional Feature • Robust security • Communication with

low latency • Rapid data analysis • Autonomy works at a

communication break

SoC FPGA

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FPGA as the hardware offload engine FUJISOFT* offers custom features at minimum initial cost

Edge Computing GW and IoT Solution: Architecture

Embedded Linux*

Device Interface Protocol

Poster (Cloud Connector)

Data Analysis

Network Service

Data Conversion /Cleansing

USB

RS-232C

Bluetooth* …

MQTT

HTTP

Web Socket

Web Server

…

Security (ex. Cloud VPN)

Storage (ex. Embedded SQL)

Se

nso

rs

Clo

ud

FPGA Hardware Offload

(ex. IP-Core, OpenCL*, Original Logic) SoC FPGA

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SoC FPGA Solution for Edge Computing: Vision of SoC FPGA: Genetic IoT Solution

• Balanced loading • Self feedback • OpenCL*

• Hardware re-program

• Frequent update : :

SoC FPGA: Re-configuration optimization through deep learning

A.I Self Optimizing Genetic System

SUM

Deep Learning • Accelerate processing through FPGA offload • Load separation and parallel processing through edge computing GW and Cloud

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FUJISOFT*: IoT Integrator from Design to Cloud

Edge Computing GW and IoT Solution: FUJISOFT Solution and Plan

AI

Total Support of Edge Computing GW Solution 1H 2017

Specification Definition/ Planning

Hardware Design/ FPGA/ Board/

Firmware

Software Design/ System

Integration/ Evaluation/

Test

Manufacturing

Cloud Services

(SaaS, Public, etc.)

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Agenda

• Role of Edge Computing

• SoC FPGA Solution for Edge Computing

• Edge Computing GW and IoT Solution

• Summary and Next Steps

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Summary and Next Steps

• Edge Computing accelerates response-critical IoT market

• SoC FPGA Edge Computing GW enables real-time and customizable configuration usage

• Vision: Genetic IoT solution through Deep Learning and SoC FPGA

• FUJISOFT* is the IoT integrator from design to Cloud

Next Step:

Accelerate SoC FPGA solution in IoT segment with FUJISOFT.

Please contact me (et-solution@fsi.co.jp) .

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Edge Computing GW Solution 1H 2017

Join us ! FUJISOFT