Cloud computing provides centralized computing resources via the internet while edge computing distributes some computing capabilities to local endpoints. As technologies like IoT and 5G emerge, edge computing is growing in importance to support applications requiring low latency. Edge computing complements cloud computing by handling data and tasks locally when immediate response times are needed, while still utilizing cloud infrastructure for storage and analytics. Both cloud and edge computing are key to enabling technologies like smart cities that generate large amounts of data from distributed devices.
Edge IoT is a technology Witekio believes in. It is now reaching an inflexion point. The need for responsiveness, local computing capacity (especially for data crunching, AI and machine learning), security, IoT bandwidth makes this«trend » relevant to face B2B and industrial challenges.
Edge computing allows data produced by internet of things (IoT) devices to be processed closer to where it is created instead of sending it across long routes to data centers or clouds.
Doing this computing closer to the edge of the network lets organizations analyze important data in near real-time – a need of organizations across many industries, including manufacturing, health care, telecommunications and finance.Edge computing deployments are ideal in a variety of circumstances. One is when IoT devices have poor connectivity and it’s not efficient for IoT devices to be constantly connected to a central cloud.
Other use cases have to do with latency-sensitive processing of information. Edge computing reduces latency because data does not have to traverse over a network to a data center or cloud for processing. This is ideal for situations where latencies of milliseconds can be untenable, such as in financial services or manufacturing.
A brief introduction , relevance, and significance of cloud computing with different types of platforms and services have been highlighted in the presentation.
Edge Computing: An Extension to Cloud ComputingRamneek Kalra
This presentation was shared by Shally Gupta (PhD Research Scholar | IEEE Graduate Member) & Ramneek Kalra (IEEE Impact Creator) at IEEE MRU Student Branch, Faridabad, Haryana, India.
Edge IoT is a technology Witekio believes in. It is now reaching an inflexion point. The need for responsiveness, local computing capacity (especially for data crunching, AI and machine learning), security, IoT bandwidth makes this«trend » relevant to face B2B and industrial challenges.
Edge computing allows data produced by internet of things (IoT) devices to be processed closer to where it is created instead of sending it across long routes to data centers or clouds.
Doing this computing closer to the edge of the network lets organizations analyze important data in near real-time – a need of organizations across many industries, including manufacturing, health care, telecommunications and finance.Edge computing deployments are ideal in a variety of circumstances. One is when IoT devices have poor connectivity and it’s not efficient for IoT devices to be constantly connected to a central cloud.
Other use cases have to do with latency-sensitive processing of information. Edge computing reduces latency because data does not have to traverse over a network to a data center or cloud for processing. This is ideal for situations where latencies of milliseconds can be untenable, such as in financial services or manufacturing.
A brief introduction , relevance, and significance of cloud computing with different types of platforms and services have been highlighted in the presentation.
Edge Computing: An Extension to Cloud ComputingRamneek Kalra
This presentation was shared by Shally Gupta (PhD Research Scholar | IEEE Graduate Member) & Ramneek Kalra (IEEE Impact Creator) at IEEE MRU Student Branch, Faridabad, Haryana, India.
Edge computing is becoming a key architectural component for industrial IoT deployments. Gartner Group identifies edge computing as one of their top Tech Trends for 2019. The opportunity to process data at the edge of the network, closer to the sensors and actuators, before data is sent to the cloud results in improved security, more efficient data movement, and better performance for industrial IoT use cases.
This presentation will explore three aspects of edge computing:
The benefits of edge computing for industrial IoT use cases
The key features delivered in edge computing solutions
A survey of different edge computing options available to customers.
Edge computing is a method of enabling small processing units near to the source of the data from sensors and central data servers. It utilizes cloud computing systems by performing data processing at the edge of the network, near the source of the data. This reduces the communications bandwidth needed between sensors by performing analytics and data processing.
Edge computing is a distributed computing paradigm that brings computation and data storage closer to the sources of data. This ppt contains everything about Edge Computing Starting from its Definition, needs, terms involved to its merits, demerits and application use cases
Through this presentation, you will get to know about Edge computing and explore the fields where it is needed.
You can start exploring the technical knowledge by seeing what industries are working on now-days
Edge Computing is transforming the way data is being handled, processed, and delivered from millions of devices around the world.
“ A part of a distributed computing topology in which information processing is located close to the edge- where things and people produce or consume that information”
Amazon Web Services (AWS) provides on-demand computing resources and services in the cloud, with pay-as-you-go pricing. This session provides an overview and describes how using AWS resources instead of your own is like purchasing electricity from a power company instead of running your own generator. Using AWS resources provides many of the same benefits as a public utility: Capacity exactly matches your need, you pay only for what you use, economies of scale result in lower costs, and the service is provided by a vendor experienced in running large-scale networks. A high-level overview of AWS infrastructure (such as AWS Regions and Availability Zones) and AWS services is provided as part of this session.
Speaker: Tom Whateley, Solutions Architect and Stephanie Zieno, Account Manager, Amazon Web Services
A talk presented at IEEE ComSoc workshop on Evolution of Data-centers in the context of 5G.
Discuss about what is edge computing and management issues in Edge Computing
What Is Cloud Computing? | Cloud Computing For Beginners | Cloud Computing Tr...Simplilearn
This Cloud Computing presentation will help you understand what is Cloud Computing, benefits of Cloud Computing, types of Cloud Computing and who uses Cloud Computing. In simple words, Cloud Computing is the use of a network of remote servers hosted on the internet to store, manage and process data rather than a local server. With the increased importance of Cloud Computing, qualified Cloud solutions architects and engineers are in great demand. Organizations have moved to cloud platforms for better scalability, mobility, and security. Cloud solutions architects are among the highest paid professionals in the IT industry. With the cloud market set to grow more than ever before the need for IT staff with the appropriate technical and business skills has never been greater. This video will introduce you to Cloud Computing by explaining what it is and how do you get benefited from this Cloud Computing technology.
Below topics are explained in this Cloud Computing presentation:
1. Before Cloud Computing
2. What is Cloud Computing?
3. Benefits of Cloud Computing
4. Types of Cloud Computing
5. Who uses Cloud Computing?
Simplilearn’s Cloud Architect Master’s Program will build your Amazon Web Services (AWS) and Microsoft Azure cloud expertise from the ground up. You’ll learn to master the architectural principles and services of two of the top cloud platforms, design and deploy highly scalable, fault-tolerant applications and develop skills to transform yourself into an AWS and Azure cloud architect.
Why become a Cloud Architect?
With the increasing focus on cloud computing and infrastructure over the last several years, cloud architects are in great demand worldwide. Many organizations have moved to cloud platforms for better scalability, mobility, and security, and cloud solutions architects are among the highest paid professionals in the IT industry.
According to a study by Goldman Sachs, cloud computing is one of the top three initiatives planned by IT executives as they make cloud infrastructure an integral part of their organizations. According to Forbes, enterprise IT architects with cloud computing expertise are earning a median salary of $137,957.
Learn more at: https://www.simplilearn.com
Microsoft Telecommunications Industry Newsletter | December 2019Rick Lievano
The Microsoft Worldwide Telecommunications Industry team is pleased to share with you the December 2019 Telecommunications Industry Newsletter, available to both internal and external audiences. We encourage you to share it with your colleagues and distribute it to your customers and partners as appropriate. As always, we welcome your input, feedback, and suggestions!
Edge computing is becoming a key architectural component for industrial IoT deployments. Gartner Group identifies edge computing as one of their top Tech Trends for 2019. The opportunity to process data at the edge of the network, closer to the sensors and actuators, before data is sent to the cloud results in improved security, more efficient data movement, and better performance for industrial IoT use cases.
This presentation will explore three aspects of edge computing:
The benefits of edge computing for industrial IoT use cases
The key features delivered in edge computing solutions
A survey of different edge computing options available to customers.
Edge computing is a method of enabling small processing units near to the source of the data from sensors and central data servers. It utilizes cloud computing systems by performing data processing at the edge of the network, near the source of the data. This reduces the communications bandwidth needed between sensors by performing analytics and data processing.
Edge computing is a distributed computing paradigm that brings computation and data storage closer to the sources of data. This ppt contains everything about Edge Computing Starting from its Definition, needs, terms involved to its merits, demerits and application use cases
Through this presentation, you will get to know about Edge computing and explore the fields where it is needed.
You can start exploring the technical knowledge by seeing what industries are working on now-days
Edge Computing is transforming the way data is being handled, processed, and delivered from millions of devices around the world.
“ A part of a distributed computing topology in which information processing is located close to the edge- where things and people produce or consume that information”
Amazon Web Services (AWS) provides on-demand computing resources and services in the cloud, with pay-as-you-go pricing. This session provides an overview and describes how using AWS resources instead of your own is like purchasing electricity from a power company instead of running your own generator. Using AWS resources provides many of the same benefits as a public utility: Capacity exactly matches your need, you pay only for what you use, economies of scale result in lower costs, and the service is provided by a vendor experienced in running large-scale networks. A high-level overview of AWS infrastructure (such as AWS Regions and Availability Zones) and AWS services is provided as part of this session.
Speaker: Tom Whateley, Solutions Architect and Stephanie Zieno, Account Manager, Amazon Web Services
A talk presented at IEEE ComSoc workshop on Evolution of Data-centers in the context of 5G.
Discuss about what is edge computing and management issues in Edge Computing
What Is Cloud Computing? | Cloud Computing For Beginners | Cloud Computing Tr...Simplilearn
This Cloud Computing presentation will help you understand what is Cloud Computing, benefits of Cloud Computing, types of Cloud Computing and who uses Cloud Computing. In simple words, Cloud Computing is the use of a network of remote servers hosted on the internet to store, manage and process data rather than a local server. With the increased importance of Cloud Computing, qualified Cloud solutions architects and engineers are in great demand. Organizations have moved to cloud platforms for better scalability, mobility, and security. Cloud solutions architects are among the highest paid professionals in the IT industry. With the cloud market set to grow more than ever before the need for IT staff with the appropriate technical and business skills has never been greater. This video will introduce you to Cloud Computing by explaining what it is and how do you get benefited from this Cloud Computing technology.
Below topics are explained in this Cloud Computing presentation:
1. Before Cloud Computing
2. What is Cloud Computing?
3. Benefits of Cloud Computing
4. Types of Cloud Computing
5. Who uses Cloud Computing?
Simplilearn’s Cloud Architect Master’s Program will build your Amazon Web Services (AWS) and Microsoft Azure cloud expertise from the ground up. You’ll learn to master the architectural principles and services of two of the top cloud platforms, design and deploy highly scalable, fault-tolerant applications and develop skills to transform yourself into an AWS and Azure cloud architect.
Why become a Cloud Architect?
With the increasing focus on cloud computing and infrastructure over the last several years, cloud architects are in great demand worldwide. Many organizations have moved to cloud platforms for better scalability, mobility, and security, and cloud solutions architects are among the highest paid professionals in the IT industry.
According to a study by Goldman Sachs, cloud computing is one of the top three initiatives planned by IT executives as they make cloud infrastructure an integral part of their organizations. According to Forbes, enterprise IT architects with cloud computing expertise are earning a median salary of $137,957.
Learn more at: https://www.simplilearn.com
Microsoft Telecommunications Industry Newsletter | December 2019Rick Lievano
The Microsoft Worldwide Telecommunications Industry team is pleased to share with you the December 2019 Telecommunications Industry Newsletter, available to both internal and external audiences. We encourage you to share it with your colleagues and distribute it to your customers and partners as appropriate. As always, we welcome your input, feedback, and suggestions!
Deploy and Manage Your Industrial IoT Edge Solutions In Weeks With EdgeOpsTredence Inc
EdgeOps frameworks are helping scale deployments across sites within weeks,
while streamlining governance, reducing solution support requirements by 60%. Learn more- https://www.tredence.com/solutions/edge-ai
The Connected world evolves and more elements of our analogue world and being connected to our digital world. WE all need to understand this mega-trend and the drivers for IoT in 2017 and beyond
Edge computing is redefining the cloud computing space. The growing de-emphasis on the cloud’s role in connected environments is expected to lead to smarter and faster autonomous solutions that have the potential to reshape the IoT landscape. Edge computing will transform the IoT landscape into a hyperconnected environment where the restrictions related to latency and computation capacity will be eliminated. Many companies are transforming their business models to attain edge computing capabilities necessary for offering end to end services.
The recent years have witnessed a number of mergers and acquisitions in the edge computing space for IoT services, with the increase in M&A activities representing the industry’s conundrum of cloud, edge, and hybrid architectures, and the race to achieve a considerable market share.
This report includes an analysis of approximately 60 deals, along with a detailed technology overview and the purpose of the acquisitions. The M&A analysis section offers a comprehensive view of the transactions around edge computing, covering different technology aspects including data center, AI, security, software-defined WAN (SD-WAN), analytics, interoperability, multi-access edge computing (MEC), and others.
To purchase the full report, write to us at info@netscribes.com
Value Journal, a monthly news journal from Redington Value Distribution, intends to update the channel on the latest vendor news and Redington Value’s Channel Initiatives.
Key stories from June Edition :
•Hewlett Packard Enterprise Expands HPE GreenLake
•Alibaba Cloud and Redington Boost MEA Technology
Ecosystem
•Cisco Announces New Service Enhancement For XDR And
SASE
•Dell Technologies Announces Planned VMware Spin-Off
•Microsoft-EIU Study Reveals Digital Preparedness Helped
Firms Adapt to COVID-19
•Huawei Releases CloudCampus 3.0 for Fully Wireless Networks
•Forcepoint Acquires Remote Browser Isolation Innovator
Cyberinc
•New Avaya OneCloud CCaaS Features to Enhance Customer
Experiences
•Citrix Research Uncovers New Approach to Security
•Fortinet Unveils New FortiEDR Capabilities
•Mimecast: 61% of Firms were Infected with Ransomware in 2020
•Palo Alto Networks Introduces Complete Zero Trust Network Security
•Software AG Delivers New webMethods Upgrades
•Veeam Accelerates Data Protection Strategies at VeeamON 2021
•Talend: Over a Third of Business Leaders Don’t Use Data for Critical Decisions
Value Journal, a monthly news journal from Redington Value Distribution, intends to update the channel on the latest vendor news and Redington Value’s Channel Initiatives.
Key stories from the June Edition:
• Microsoft, Dell Technologies collaborate to simplify IoT solutions delivery.
• Oracle delivers next set of autonomous cloud platform services.
• Partner profitability - Ramkumar Balakrishnan, President, Redington Value.
• Fortinet report reveals an evolution of malware to exploit cryptocurrencies.
• Dell Technologies Customer Solution Centre opens in Dubai.
• Redington Value partners with Nutanix to deliver enterprise cloud solutions.
• Huawei’s roadshow focuses on driving digital transformation.
• Veeam announces vision for the Hyper-Available Enterprise.
• Micro Focus announces agreement with Utimaco to divest Atalla portfolio.
• Red Hat launches latest version of Red Hat virtualization.
• Palo Alto Networks Announces Intent to Acquire Secdo.
• Nexthink announces integration with Splunk.
이젠 사물 인터넷을 넘어, 지능형 사물 인터넷 시대로 접어들고 있습니다. 지능형 사물 인터넷 트렌드는 어떤 지, 그리고 클라우드 기반의 IoT 서비스는 어떻게 구축이 가능한 지 함께 살펴보겠습니다 | Now beyond the Internet of Things, we are entering the era of the intelligent Internet of Things. Let's take a look at what the intelligent Internet of Things trend is and how cloud-based IoT services can be built.
클라우드 개념부터 클라우드와 함께하는 중요 기술들에 대해 살펴보며, 클라우드 컴퓨팅에 대한 이해와 기술 트렌드를 살펴보실 수 있습니다 | From the concept of cloud to important technologies with the cloud, you can see the understanding of cloud computing and technology trends.
21년도 12월부터 순차적으로 개시되는 마이데이터 사업에 대해 알아봅니다. 이를 통해 마이데이터 사업이 우리 삶과 비즈니스에 끼치는 영향에 대해 이해하고, 클라우드 상에서 마이데이터 사업을 어떻게 적용시킬 수 있는지에 대해 살펴봅니다. | Let's learn about the MyData business that starts sequentially in December 2021. Through this, we understand the impact of MyData business on our lives and businesses, and look at how we can apply MyData business on the cloud.
도커의 근간 기술을 이해하기 위해 도커의 역사를 살펴보고, 클러스터 환경으로 컨테이너 환경을 운영하는 쿠버네티스에 대한 핵심 개념에 대해 알아봅니다. 마지막으로 쿠버네티스 클러스터를 손쉽게 생성하고 관리할 수 있는 네이버 클라우드 플랫폼 Kubernetes service를 데모를 통해 소개해드립니다 | To understand Docker's underlying technology, we look at Docker's history and learn about the core concepts of Kubernetis, which operates a container environment in a cluster environment. Lastly, I will introduce Naver's cloud platform Kubernetes service, which allows you to easily create and manage Kubernetes clusters, through a demo.
8월 온투법과 9월 특금법 시행을 앞둔 기업이라면, 자금세탁방지시스템[AML] 구축은 필수입니다. AML 업계 1위 제품인 AMLXpress에 대해 소개해드립니다 | Let me introduce AMLXpress, the No. 1 product in AML industry
서로 다른 애플리케이션의 중개자 역할을 하는 API가져온 API Economy의 정의를 살펴보고 API Economy 성공 기업들을 소개합니다 | Explore API Economy, which acts as a broker for different applications, and introduce API Economy successful companies.
클라우드에서 인프라 구축 시 고려해야 할 사항들을 살펴보고, 네이버 클라우드 플랫폼을 활용하여 고가용성을 유지하는 방안에 대해 소개합니다. | Explore the considerations of building infrastructure in the cloud and introduce ways to maintain high availability by leveraging the Naver cloud platform.
최근 화두인 마이데이터사업에 대한 정의를 살펴보고, 마이데이터 사업을 위한 네이버클라우드플랫폼 서비스 및 구성방안에 대해 안내해드립니다. | We will look at the definition of MyData business, which is a hot topic recently, and guide you on Naver Cloud Platform service and architecture for MyData business.
VPC 환경에서의 보안과 네이버클라우드플랫폼에서 제공하는 보안관제서비스인 security monitoring 서비스에 대해 소개합니다. | Introduce Naver Cloud Platform security services, world-class security technologies to protect your data and services from external threats.
매년 가트너에서는 향후 5년간 IT업계의 파괴적 혁신을 도모할 주요 기술 흐름을 소개합니다. 가트너에서 2021년도 혁신 기술로서 언급한 내용들을 간략하게 정리하여 공유드립니다 | 98 / 5000소스 TTS복사하기필기인식기번역하기자동완성
영어열기/닫기 아이콘
Every year Gartner introduces key technology trends that will drive disruptive innovation in the IT industry over the next five years. We share a brief summary of what Gartner mentioned as an innovation technology of 2021.
클라우드 상에서 논리적으로 격리된 고객 전용 네트워크를 제공하는 VPC에 대해 살펴보고 스토리지 암호화, 감사 등 보안을 위한 다양한 기능들을 소개해드립니다 | Explore VPC providing a logically siloed customer-only network on the cloud and introduce a range of security features including storage encryption and auditing.
2025년도 까지의 데이터 시장의 전망을 살펴보고, 클라우드 상에서 데이터를 효율적으로 다루기 위한 서비스들을 소개합니다 | Explore the prospects for the data market by 2025 and introduce services to efficiently address data in the cloud
대규모 분산 서비스 및 시스템 성능을 분석하고 진단하기 위한 APM(Application Performance Management) tool Pinpoint의 특징과 기능에 대해 소개합니다 | Introduce the features and capabilities of Application Performance Management (APM) tool pinpoint for analyzing and diagnosing large distributed services and system performance
포스트코로나 시대에 비대면 서비스가 활성화되면서, 이를 실현하기 위한 AI 기술이 주목받고 있습니다. 네이버클라우드플랫폼에서 제공하는 AI 서비스를 살펴보시고 여러분들의 비즈니스에 적합한 AI서비스를 활용해보세요! | As non-face-to-face services are activated in the post-corona era, AI technology to realize them is attracting attention. Take a look at the AI service offered by Naver Cloud Platform and take advantage of the AI service that's right for your business!
코로나로 인해 촉발된 언택트 시대로 인해 우리 삶에 많은 변화가 일어나고 있습니다. 이러한 변화가 의료계에서는 어떤 모습으로 나타나고 있는지 살펴봅니다. | The untact era triggered by the corona is causing a lot of changes in our lives. Let's take a look at what these changes look like in the medical world.
엄청난 동시 접속 수로 고사양이 요구되는 게임 '배틀그라운드'! 속도가 중요한 게임 서비스에서 가장 필요한 고성능 서버입니다. 배틀그라운드 사례 뿐아니라 SK텔레콤도 선정하여 사용하고 있는 네이버클라우드플랫폼 베어메탈 서버에 대해 소개합니다 | Battlegrounds is a game that requires a lot of simultaneous access! High-performance servers most needed for speed-critical gaming services. In addition to the case of Battlegrounds, SK Telecom has selected and used Naver Cloud Platform Bare Metal Server.
네이버 클라우드 플랫폼의 "TensorFlow Server"상품은 TensorFlow를 비롯한 딥러닝 및 머신러닝 패키지와 코드를 작성할 수 있는 웹 기반의 Jupyter Notebook을 제공하여 빠르게 딥러닝, 머신러닝을 구현할 수 있게 해주는 상품입니다. 해당 온라인 교육을 통해 네이버 클라우드 플랫폼 상에서 Jupyter를 이용해 데이터 분석환경을 구축하는 법을 알아봅니다. | The "TensorFlow Server" product on Naver's cloud platform includes TensorFlow. This product provides a web-based Jupyter Notebook that allows users to write deep learning and machine learning packages and code so that they can quickly implement deep learning and machine learning.In this chapter, we will learn how to build a data analysis environment using Jupyter on Naver's cloud platform.
왜 기업은 멀티/하이브리드 클라우드에 주목해야하는지, 그리고 실제 멀티/하이브리드 유형과 사례를 살펴봄으써 멀티/하이브리드 수행 전략을 세움에 있어 실질적인 도움을 드립니다 | Why businesses should pay attention to multi-/hybrid clouds, and by looking at real-world multi/hybrid types and examples, we offer real help in creating a multi- and hybrid performance strategy.
사람에 가까운 자연스럽고 깨끗한 합성음을 제공하는 음성 합성 API인 Clova Premium Voice에 대한 기능 및 데모를 통한 사용법을 소개합니다 | Introducing features and demos for Clova Premium Voice, a voice synthesis API that provides near-human, natural, clean sounds
네이버클라우드플랫폼에서 제공하는 클라우드 데이터베이스 서비스를 소개하고, 네이버클라우드 플랫폼의 클라우드 데이터베이스 관리 노하우에 대해 소개합니다 | Introduce cloud database services provided by Naver Cloud Platform and know-how of managing cloud databases on Naver Cloud Platform
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
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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.
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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.
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NAVER CLOUD
PLATFORM
01
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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
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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
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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
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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. Reference
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Game
79+
Finance /
Healthcare
57+
Public Sector
27+
Online Service /
IT Solution
552+ Education /
Media
388+
SMB / Start-up
232+
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Key Customers
Game Online Service (Web, Mobile, e-Commerce)
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Key Customers
Public Sector / Healthcare / Finance Enterprise / SMB
Industry
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Global Regions
NBP has infrastructure locations in 10 countries and dedicated global backbone network
Provides six cloud regions and inter-region private network
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State-of-The-Art AI Technology
AI service based
on the newest
technology
Learning based
on Naver’s
abundant data
High performance
computing power
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Business Solutions
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Collaboration with Global Leading Company
16. Cloud Computing and
Edge Computing
02
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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.
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OSF Edge Computing Group: Cloud Edge Computing: Beyond the Data Center
This document has been translated based on Naver Papago service.
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CLOUD COMPUTING & EDGE COMPUTING
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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. 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.
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Cloud Trends Report (by IDC)Source: IDC Analyst Connection, June 2018, Steffi Han
This document has been translated based on Naver Papago service.
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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
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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
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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.
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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.
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Edge Computing
Image Source: iStockphoto
Image Source: Gartner, How Edge Computing Redefines Infrastructure
26. Five Imperatives Driving Edge Computing
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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.
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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
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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
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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.
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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. S-IoT for Smart Ship
4.0 Project
03
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S-IoT Project for Smart Ship 4.0
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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
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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
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Value Chain of Smart Ship
Ship Owner
Ship Operator
Cargo Owner
Shipyards
Equipment
Manufacturers
Classification
Societies
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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.
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S-IoT Project for Smart Ship 4.0
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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
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Global Cloud Regions and Edge Computing
41. IoT Platform
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• 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.
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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. • 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
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Kubernetes Cluster Service and Container
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
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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
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Thank You.