This document introduces software defined networking (SDN) and network functions virtualization (NFV) concepts. It discusses challenges with traditional networking and how SDN and NFV address these by decoupling the control and data planes, making the network programmable through APIs, and virtualizing network functions. It then provides examples of open source SDN platforms like OpenDaylight, Open vSwitch, and OpenStack that enable building virtual networks and service chains.
산업용 클라우드 플랫폼 - 프레딕스, Industrial cloud platform – Predix, 2016스마트공장 국제 컨퍼런스GE코리아
2016 스마트공장 국제 컨퍼런스
산업용 클라우드 플랫폼 - 프레딕스
Industrial cloud platform – Predix
"어제까지는 제조산업 기반의 회사였지만, 이제는 데이터 및 분석 회사로 거듭나야 합니다." 제프 이멜트 GE 회장 및 최고경영자
클라우드를 통해 생산현장을 개선합니다. 실제 현장 과 디지털 현장 이 서로 소통합니다. 1%의 생산성 개선으로 GE 내부적으로만 $500MM(6조원)를 절감할 수 있습니다.
GE의 스마트 공장, 생각하는 공장(Brilliant Factory) - 2016 스마트공장 국제 컨퍼런스GE코리아
2016 스마트공장 국제 컨퍼런스
GE의 스마트 공장, 생각하는 공장(Brilliant Factory)
"어제까지는 제조산업 기반의 회사였지만, 이제는 데이터 및 분석 회사로 거듭나야 합니다." 제프 이멜트 GE 회장 및 최고경영자
클라우드를 통해 생산현장을 개선합니다. 실제 현장 과 디지털 현장 이 서로 소통합니다. 1%의 생산성 개선으로 GE 내부적으로만 $500MM(6조원)를 절감할 수 있습니다.
"Brilliant Factory는 최신 기술을 사용해서 실시간으로 일관되게 운영최적화를 하고자 하는 GE의 헌신입니다. 이것은 전적으로 사고방식에 변화를 뜻합니다." Christine Furstoss, GE글로벌리서치 글로벌 기술 디렉터
This document discusses the partnership between Microsoft Azure and GE's Predix platform for industrial IoT. For Microsoft, the partnership will help existing industrial customers build and operate IIoT solutions using Azure's capabilities in artificial intelligence, data analytics, and security. For GE, Predix will benefit from Azure's large global footprint and hybrid cloud capabilities. The combination of Predix and Azure aims to bridge the gap between operational technology and information technology for industrial customers worldwide.
D4: Predix Cool Features (Predix Transform 2016) Predix
http://predixtransform.com
See what's brewing in the Predix architecture labs. We'll provide examples of features and additions currently under consideration. While we cannot guarantee that all ideas will eventually become products, we promise this session to be packed with interesting and perhaps awe-inspiring previews.
Topics covered: Predix Appliance; Extended Asset Service; Knowledge Graph; Blockchain for Industrial Internet of Things
This document introduces software defined networking (SDN) and network functions virtualization (NFV) concepts. It discusses challenges with traditional networking and how SDN and NFV address these by decoupling the control and data planes, making the network programmable through APIs, and virtualizing network functions. It then provides examples of open source SDN platforms like OpenDaylight, Open vSwitch, and OpenStack that enable building virtual networks and service chains.
산업용 클라우드 플랫폼 - 프레딕스, Industrial cloud platform – Predix, 2016스마트공장 국제 컨퍼런스GE코리아
2016 스마트공장 국제 컨퍼런스
산업용 클라우드 플랫폼 - 프레딕스
Industrial cloud platform – Predix
"어제까지는 제조산업 기반의 회사였지만, 이제는 데이터 및 분석 회사로 거듭나야 합니다." 제프 이멜트 GE 회장 및 최고경영자
클라우드를 통해 생산현장을 개선합니다. 실제 현장 과 디지털 현장 이 서로 소통합니다. 1%의 생산성 개선으로 GE 내부적으로만 $500MM(6조원)를 절감할 수 있습니다.
GE의 스마트 공장, 생각하는 공장(Brilliant Factory) - 2016 스마트공장 국제 컨퍼런스GE코리아
2016 스마트공장 국제 컨퍼런스
GE의 스마트 공장, 생각하는 공장(Brilliant Factory)
"어제까지는 제조산업 기반의 회사였지만, 이제는 데이터 및 분석 회사로 거듭나야 합니다." 제프 이멜트 GE 회장 및 최고경영자
클라우드를 통해 생산현장을 개선합니다. 실제 현장 과 디지털 현장 이 서로 소통합니다. 1%의 생산성 개선으로 GE 내부적으로만 $500MM(6조원)를 절감할 수 있습니다.
"Brilliant Factory는 최신 기술을 사용해서 실시간으로 일관되게 운영최적화를 하고자 하는 GE의 헌신입니다. 이것은 전적으로 사고방식에 변화를 뜻합니다." Christine Furstoss, GE글로벌리서치 글로벌 기술 디렉터
This document discusses the partnership between Microsoft Azure and GE's Predix platform for industrial IoT. For Microsoft, the partnership will help existing industrial customers build and operate IIoT solutions using Azure's capabilities in artificial intelligence, data analytics, and security. For GE, Predix will benefit from Azure's large global footprint and hybrid cloud capabilities. The combination of Predix and Azure aims to bridge the gap between operational technology and information technology for industrial customers worldwide.
D4: Predix Cool Features (Predix Transform 2016) Predix
http://predixtransform.com
See what's brewing in the Predix architecture labs. We'll provide examples of features and additions currently under consideration. While we cannot guarantee that all ideas will eventually become products, we promise this session to be packed with interesting and perhaps awe-inspiring previews.
Topics covered: Predix Appliance; Extended Asset Service; Knowledge Graph; Blockchain for Industrial Internet of Things
E3: Edge and Cloud Connectivity (Predix Transform 2016)Predix
http://predixtransform.com
The edge is where the Industrial Internet starts (and ends). Understand the roles Predix Machine and Connectivity play for your app architecture. Then use the essential tool kits to build your own edge-connected apps. We'll cover edge management (enrollment and security), edge analytics, and data ingestion (e.g., HTTP and MQTT).
GE의 디지털 산업 변화 - GE's Digital Industrial Transformation PlaybookGE코리아
많은 곳에서 산업의 디지털 변화에 대해 이야기하지만, 소수의 산업기업만이 실제 변화를 겪고 있습니다. GE가 바로 그런 기업입니다. GE의 디지털 산업 변화 문서에서는 GE가 디지털 산업 변화를 경험하며 얻은 통찰, 공유, 도구, 기술 등을 전반적으로 소개합니다.
While much has been written about the digital transformation
of industry, few industrial companies have undertaken the
daunting work of actually transforming. GE has and is.
This paper provides an overview of the insights, lessons
learned, tools, and techniques that GE acquired through its
own digital industrial transformation experience.
Predix Builder Roadshow event content detailing the Industrial Internet of Things, Building the Digital Twin, Predix Edge Essential, Predix Dojo Program, and upcoming Predix events.
Capital One's Next Generation Decision in less than 2 msApache Apex
This document discusses using Apache Apex for real-time decision making within 2 milliseconds. It provides performance benchmarks for Apex, showing average latency of 0.25ms for over 54 million events with 600GB of RAM. It compares Apex favorably to other streaming technologies like Storm and Flink, noting Apex's self-healing capabilities, independence of operators, and ability to meet latency and throughput requirements even during failures. The document recommends Apex for its maturity, fault tolerance, and ability to meet the goals of latency under 16ms, 99.999% availability, and scalability.
GE IOT Predix Time Series & Data Ingestion Service using Apache Apex (Hadoop)Apache Apex
This presentation will introduce usage of Apache Apex for Time Series & Data Ingestion Service by General Electric Internet of things Predix platform. Apache Apex is a native Hadoop data in motion platform that is being used by customers for both streaming as well as batch processing. Common use cases include ingestion into Hadoop, streaming analytics, ETL, database off-loads, alerts and monitoring, machine model scoring, etc.
Abstract: Predix is an General Electric platform for Internet of Things. It helps users develop applications that connect industrial machines with people through data and analytics for better business outcomes. Predix offers a catalog of services that provide core capabilities required by industrial internet applications. We will deep dive into Predix Time Series and Data Ingestion services leveraging fast, scalable, highly performant, and fault tolerant capabilities of Apache Apex.
Speakers:
- Venkatesh Sivasubramanian, Sr Staff Software Engineer, GE Predix & Committer of Apache Apex
- Pramod Immaneni, PPMC member of Apache Apex, and DataTorrent Architect
This document discusses GE Predix, which is described as an industry first end-to-end solution for the Industrial Internet. It consists of Predix Machine, which collects data from machines at the edge of the network, Predix Security which provides end-to-end security, Predix Core which provides the cloud infrastructure, the Predix Services Catalog containing services from GE and partners, and customer applications. The document emphasizes that Predix allows customers to focus on building and managing applications rather than infrastructure. It also notes there are 14 factors to consider when migrating existing applications to Predix.
인더스트리 4.0은 독일이 제조업 주도권을 이어가기 위해 구상한 차세대 산업혁명을 지칭한다. ICT와 제조업의 융합을 통한 경쟁력 유지이다. 사물인터넷과 사이버 물리시스템 기술을 토대로 다품종 대량생산이 가능한 생산체계로 바뀔 것이며, BMW 등은 이미 스마트 팩토리 개념을 도입해 공정을 고도화 하고 있다.
우리에게도 이런 기술 융합은 매우 중요한 기회이며, 제조업을 한 단계 진화시킬 수도 있을 것이다. 독일의 인더스트리 4.0, 그 의미와 추진내용을 살펴보겠다.
[목차]
1. 왜 인더스트리 4.0에 주목하는가?
2. 인더스트리 4.0이란?
3. 새로운 제조업 패러다임, 무엇이 바뀌나?
4. 독일의 4차 산업혁명 구상이 우리에게 주는 의미
E3: Edge and Cloud Connectivity (Predix Transform 2016)Predix
http://predixtransform.com
The edge is where the Industrial Internet starts (and ends). Understand the roles Predix Machine and Connectivity play for your app architecture. Then use the essential tool kits to build your own edge-connected apps. We'll cover edge management (enrollment and security), edge analytics, and data ingestion (e.g., HTTP and MQTT).
GE의 디지털 산업 변화 - GE's Digital Industrial Transformation PlaybookGE코리아
많은 곳에서 산업의 디지털 변화에 대해 이야기하지만, 소수의 산업기업만이 실제 변화를 겪고 있습니다. GE가 바로 그런 기업입니다. GE의 디지털 산업 변화 문서에서는 GE가 디지털 산업 변화를 경험하며 얻은 통찰, 공유, 도구, 기술 등을 전반적으로 소개합니다.
While much has been written about the digital transformation
of industry, few industrial companies have undertaken the
daunting work of actually transforming. GE has and is.
This paper provides an overview of the insights, lessons
learned, tools, and techniques that GE acquired through its
own digital industrial transformation experience.
Predix Builder Roadshow event content detailing the Industrial Internet of Things, Building the Digital Twin, Predix Edge Essential, Predix Dojo Program, and upcoming Predix events.
Capital One's Next Generation Decision in less than 2 msApache Apex
This document discusses using Apache Apex for real-time decision making within 2 milliseconds. It provides performance benchmarks for Apex, showing average latency of 0.25ms for over 54 million events with 600GB of RAM. It compares Apex favorably to other streaming technologies like Storm and Flink, noting Apex's self-healing capabilities, independence of operators, and ability to meet latency and throughput requirements even during failures. The document recommends Apex for its maturity, fault tolerance, and ability to meet the goals of latency under 16ms, 99.999% availability, and scalability.
GE IOT Predix Time Series & Data Ingestion Service using Apache Apex (Hadoop)Apache Apex
This presentation will introduce usage of Apache Apex for Time Series & Data Ingestion Service by General Electric Internet of things Predix platform. Apache Apex is a native Hadoop data in motion platform that is being used by customers for both streaming as well as batch processing. Common use cases include ingestion into Hadoop, streaming analytics, ETL, database off-loads, alerts and monitoring, machine model scoring, etc.
Abstract: Predix is an General Electric platform for Internet of Things. It helps users develop applications that connect industrial machines with people through data and analytics for better business outcomes. Predix offers a catalog of services that provide core capabilities required by industrial internet applications. We will deep dive into Predix Time Series and Data Ingestion services leveraging fast, scalable, highly performant, and fault tolerant capabilities of Apache Apex.
Speakers:
- Venkatesh Sivasubramanian, Sr Staff Software Engineer, GE Predix & Committer of Apache Apex
- Pramod Immaneni, PPMC member of Apache Apex, and DataTorrent Architect
This document discusses GE Predix, which is described as an industry first end-to-end solution for the Industrial Internet. It consists of Predix Machine, which collects data from machines at the edge of the network, Predix Security which provides end-to-end security, Predix Core which provides the cloud infrastructure, the Predix Services Catalog containing services from GE and partners, and customer applications. The document emphasizes that Predix allows customers to focus on building and managing applications rather than infrastructure. It also notes there are 14 factors to consider when migrating existing applications to Predix.
인더스트리 4.0은 독일이 제조업 주도권을 이어가기 위해 구상한 차세대 산업혁명을 지칭한다. ICT와 제조업의 융합을 통한 경쟁력 유지이다. 사물인터넷과 사이버 물리시스템 기술을 토대로 다품종 대량생산이 가능한 생산체계로 바뀔 것이며, BMW 등은 이미 스마트 팩토리 개념을 도입해 공정을 고도화 하고 있다.
우리에게도 이런 기술 융합은 매우 중요한 기회이며, 제조업을 한 단계 진화시킬 수도 있을 것이다. 독일의 인더스트리 4.0, 그 의미와 추진내용을 살펴보겠다.
[목차]
1. 왜 인더스트리 4.0에 주목하는가?
2. 인더스트리 4.0이란?
3. 새로운 제조업 패러다임, 무엇이 바뀌나?
4. 독일의 4차 산업혁명 구상이 우리에게 주는 의미