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

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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

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

  1. 1. Cloud Computing and Edge Computing, Friend or Foe? 2019.1.18
  2. 2. 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.
  3. 3. Clo ud Co mputi ng a nd E dge Co mputi ng, Fri end o r Fo e?3/ 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 This document has been translated based on Naver Papago service.
  4. 4. Clo ud Co mputi ng a nd E dge Co mputi ng, Fri end o r Fo e?4/ NAVER CLOUD PLATFORM 01
  5. 5. Clo ud Co mputi ng a nd E dge Co mputi ng, Fri end o r Fo e?5/ 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
  6. 6. Clo ud Co mputi ng a nd E dge Co mputi ng, Fri end o r Fo e?6/ NAVER CLOUD PLATFORM 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
  7. 7. Clo ud Co mputi ng a nd E dge Co mputi ng, Fri end o r Fo e?7/ 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
  8. 8. Clo ud Co mputi ng a nd E dge Co mputi ng, Fri end o r Fo e?8/ 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
  9. 9. Reference Clo ud Co mputi ng a nd E dge Co mputi ng, Fri end o r Fo e?9/ Game 79+ Finance / Healthcare 57+ Public Sector 27+ Online Service / IT Solution 552+ Education / Media 388+ SMB / Start-up 232+
  10. 10. Clo ud Co mputi ng a nd E dge Co mputi ng, Fri end o r Fo e?10/ Key Customers Game Online Service (Web, Mobile, e-Commerce)
  11. 11. Clo ud Co mputi ng a nd E dge Co mputi ng, Fri end o r Fo e?11/ Key Customers Public Sector / Healthcare / Finance Enterprise / SMB Industry
  12. 12. Clo ud Co mputi ng a nd E dge Co mputi ng, Fri end o r Fo e?12/ Global Regions NBP has infrastructure locations in 10 countries and dedicated global backbone network Provides six cloud regions and inter-region private network
  13. 13. Clo ud Co mputi ng a nd E dge Co mputi ng, Fri end o r Fo e?13/ State-of-The-Art AI Technology AI service based on the newest technology Learning based on Naver’s abundant data High performance computing power
  14. 14. Clo ud Co mputi ng a nd E dge Co mputi ng, Fri end o r Fo e?14/ Business Solutions
  15. 15. Clo ud Co mputi ng a nd E dge Co mputi ng, Fri end o r Fo e?15/ Collaboration with Global Leading Company
  16. 16. Cloud Computing and Edge Computing 02 Clo ud Co mputi ng a nd E dge Co mputi ng, Fri end o r Fo e?16/
  17. 17. 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. Clo ud Co mputi ng a nd E dge Co mputi ng, Fri end o r Fo e?17/ OSF Edge Computing Group: Cloud Edge Computing: Beyond the Data Center This document has been translated based on Naver Papago service.
  18. 18. Clo ud Co mputi ng a nd E dge Co mputi ng, Fri end o r Fo e?18/ CLOUD COMPUTING & EDGE COMPUTING
  19. 19. Clo ud Co mputi ng a nd E dge Co mputi ng, Fri end o r Fo e?19/ 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
  20. 20. 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. Clo ud Co mputi ng a nd E dge Co mputi ng, Fri end o r Fo e?20/ Cloud Trends Report (by IDC)Source: IDC Analyst Connection, June 2018, Steffi Han This document has been translated based on Naver Papago service.
  21. 21. Clo ud Co mputi ng a nd E dge Co mputi ng, Fri end o r Fo e?21/ 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
  22. 22. Clo ud Co mputi ng a nd E dge Co mputi ng, Fri end o r Fo e?22/ 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” ❝ ❞ Image Source: iStockphoto
  23. 23. Clo ud Co mputi ng a nd E dge Co mputi ng, Fri end o r Fo e?23/ 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..” This document has been translated based on Naver Papago service.
  24. 24. Clo ud Co mputi ng a nd E dge Co mputi ng, Fri end o r Fo e?24/ 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 This document has been translated based on Naver Papago service.
  25. 25. Clo ud Co mputi ng a nd E dge Co mputi ng, Fri end o r Fo e?25/ Edge Computing Image Source: iStockphoto Image Source: Gartner, How Edge Computing Redefines Infrastructure
  26. 26. Five Imperatives Driving Edge Computing Clo ud Co mputi ng a nd E dge Co mputi ng, Fri end o r Fo e?26/ 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 This document has been translated based on Naver Papago service.
  27. 27. Clo ud Co mputi ng a nd E dge Co mputi ng, Fri end o r Fo e?27/ 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
  28. 28. Clo ud Co mputi ng a nd E dge Co mputi ng, Fri end o r Fo e?28/ 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
  29. 29. Clo ud Co mputi ng a nd E dge Co mputi ng, Fri end o r Fo e?29/ 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.
  30. 30. Clo ud Co mputi ng a nd E dge Co mputi ng, Fri end o r Fo e?30/ 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). This document has been translated based on Naver Papago service.
  31. 31. S-IoT for Smart Ship 4.0 Project 03 Clo ud Co mputi ng a nd E dge Co mputi ng, Fri end o r Fo e?31/
  32. 32. Clo ud Co mputi ng a nd E dge Co mputi ng, Fri end o r Fo e?32/ S-IoT Project for Smart Ship 4.0
  33. 33. Clo ud Co mputi ng a nd E dge Co mputi ng, Fri end o r Fo e?33/ 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
  34. 34. Clo ud Co mputi ng a nd E dge Co mputi ng, Fri end o r Fo e?34/ 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
  35. 35. Clo ud Co mputi ng a nd E dge Co mputi ng, Fri end o r Fo e?35/ Value Chain of Smart Ship Ship Owner Ship Operator Cargo Owner Shipyards Equipment Manufacturers Classification Societies
  36. 36. Clo ud Co mputi ng a nd E dge Co mputi ng, Fri end o r Fo e?36/ S-IoT Project for Smart Ship 4.0 “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.” This document has been translated based on Naver Papago service.
  37. 37. Clo ud Co mputi ng a nd E dge Co mputi ng, Fri end o r Fo e?37/ S-IoT Project for Smart Ship 4.0
  38. 38. Clo ud Co mputi ng a nd E dge Co mputi ng, Fri end o r Fo e?38/ 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
  39. 39. Clo ud Co mputi ng a nd E dge Co mputi ng, Fri end o r Fo e?39/ Global Cloud Regions and Edge Computing
  40. 40. NAVER CLOUD PLATFORM 04 Clo ud Co mputi ng a nd E dge Co mputi ng, Fri end o r Fo e?40/
  41. 41. IoT Platform Clo ud Co mputi ng a nd E dge Co mputi ng, Fri end o r Fo e?41/ • 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.
  42. 42. Clo ud Co mputi ng a nd E dge Co mputi ng, Fri end o r Fo e?42/ 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.
  43. 43. • 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 Clo ud Co mputi ng a nd E dge Co mputi ng, Fri end o r Fo e?43/ Kubernetes Cluster Service and Container
  44. 44. Clo ud Co mputi ng a nd E dge Co mputi ng, Fri end o r Fo e?44/ 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 NAVER CLOUD PLATFORM Training Serving IoT API MobileWeb
  45. 45. Clo ud Co mputi ng a nd E dge Co mputi ng, Fri end o r Fo e?45/ 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
  46. 46. Clo ud Co mputi ng a nd E dge Co mputi ng, Fri end o r Fo e?46/ Thank You.

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