IoT Architecture - are traditional architectures good enough?Guido Schmutz
Independent of the source of data, the integration of event streams into an Enterprise Architecture gets more and more important in the world of sensors, social media streams and Internet of Things. Events have to be accepted quickly and reliably, they have to be distributed and analysed, often with many consumers or systems interested in all or part of the events. Dependent on the size and quantity of such events, this can quickly be in the range of Big Data. How can we efficiently collect and transmit these events? How can we make sure that we can always report over historical events? How can these new events be integrated into traditional infrastructure and application landscape?
Starting with a product and technology neutral reference architecture, we will then present different solutions using Open Source frameworks and the Oracle Stack both for on premises as well as the cloud.
Architecting the Enterprise Internet of ThingsDell World
While business leaders might drive enterprise Internet of Things (IoT) initiatives, responsibility for managing connected devices and equipment, building infrastructure capacity, and securing data and applications usually falls on IT. Choosing the right IoT ecosystem architecture and technology enables you to minimize cost while ensuring security and dynamic, analytics-driven action. While some vendors advocate a one-size-fits-all approach, Dell uses a holistic, objective methodology to determine the right IoT ecosystem for your unique environment. Learn how Dell's IoT-specific gateways, edge analytics software and infrastructure solutions provide flexible architecture options for multiple IoT use cases.
The impact of emerging IoT Technology and BigData. This is the slide presentation I did at the http://globalbigdatabootcamp.com/speakers/sanjay-sabnis/
Build the network of the future on your terms todayDell World
Is your enterprise network capable of handling the demand of today's mobile enterprise? The network you put in place yesterday may be struggling to support applications like unified communications and video while maintaining high standards for security compliance. Learn how Dell is designing the campus network of the future and how you can take advantage of this next generation architecture with improved management and performance. We will discuss how you can make the transition to the network of the future—on your terms and at the pace you choose—with minimal disruption.
The Enterprise Internet of Things: Think Security FirstDell World
The proliferation of connected products and equipment creates an almost limitless combination of physical-cyber intersections and opportunities for security breaches. Designing enterprise Internet of Things (IoT) ecosystems must start with identifying potential security vulnerabilities and developing a unified security approach to keep a step ahead of threats and maintain a predictive, proactive security posture. Securing IoT ecosystems is complex but with the industry's broadest portfolio of security tools and expertise—and a holistic approach—Dell helps reduce security risk to ensure your enterprise infrastructure and data remain safe, secure and private. This session will discuss the unique security risks in IoT ecosystems and the strategies and tools for addressing them.
Independent of the source of data, the integration of event streams into an Enterprise Architecture gets more and more important in the world of sensors, social media streams and Internet of Things. Events have to be accepted quickly and reliably, they have to be distributed and analysed, often with many consumers or systems interested in all or part of the events. Dependent on the size and quantity of such events, this can quickly be in the range of Big Data. How can we efficiently collect and transmit these events? How can we make sure that we can always report over historical events? How can these new events be integrated into traditional infrastructure and application landscape?
Starting with a product and technology neutral reference architecture, we will then present different solutions using Open Source frameworks and the Oracle Stack both for on premises as well as the cloud.
Data Modelling and Knowledge Engineering for the Internet of ThingsCory Andrew Henson
Tutorial on Data Modelling and Knowledge Engineering for the Internet of Things, presented at EKAW 2012, Galway City, Ireland, October 8-12, 2012
http://knoesis.org/iot-tutorial-ekaw2012/
IoT Architecture - are traditional architectures good enough?Guido Schmutz
Independent of the source of data, the integration of event streams into an Enterprise Architecture gets more and more important in the world of sensors, social media streams and Internet of Things. Events have to be accepted quickly and reliably, they have to be distributed and analysed, often with many consumers or systems interested in all or part of the events. Dependent on the size and quantity of such events, this can quickly be in the range of Big Data. How can we efficiently collect and transmit these events? How can we make sure that we can always report over historical events? How can these new events be integrated into traditional infrastructure and application landscape?
Starting with a product and technology neutral reference architecture, we will then present different solutions using Open Source frameworks and the Oracle Stack both for on premises as well as the cloud.
Architecting the Enterprise Internet of ThingsDell World
While business leaders might drive enterprise Internet of Things (IoT) initiatives, responsibility for managing connected devices and equipment, building infrastructure capacity, and securing data and applications usually falls on IT. Choosing the right IoT ecosystem architecture and technology enables you to minimize cost while ensuring security and dynamic, analytics-driven action. While some vendors advocate a one-size-fits-all approach, Dell uses a holistic, objective methodology to determine the right IoT ecosystem for your unique environment. Learn how Dell's IoT-specific gateways, edge analytics software and infrastructure solutions provide flexible architecture options for multiple IoT use cases.
The impact of emerging IoT Technology and BigData. This is the slide presentation I did at the http://globalbigdatabootcamp.com/speakers/sanjay-sabnis/
Build the network of the future on your terms todayDell World
Is your enterprise network capable of handling the demand of today's mobile enterprise? The network you put in place yesterday may be struggling to support applications like unified communications and video while maintaining high standards for security compliance. Learn how Dell is designing the campus network of the future and how you can take advantage of this next generation architecture with improved management and performance. We will discuss how you can make the transition to the network of the future—on your terms and at the pace you choose—with minimal disruption.
The Enterprise Internet of Things: Think Security FirstDell World
The proliferation of connected products and equipment creates an almost limitless combination of physical-cyber intersections and opportunities for security breaches. Designing enterprise Internet of Things (IoT) ecosystems must start with identifying potential security vulnerabilities and developing a unified security approach to keep a step ahead of threats and maintain a predictive, proactive security posture. Securing IoT ecosystems is complex but with the industry's broadest portfolio of security tools and expertise—and a holistic approach—Dell helps reduce security risk to ensure your enterprise infrastructure and data remain safe, secure and private. This session will discuss the unique security risks in IoT ecosystems and the strategies and tools for addressing them.
Independent of the source of data, the integration of event streams into an Enterprise Architecture gets more and more important in the world of sensors, social media streams and Internet of Things. Events have to be accepted quickly and reliably, they have to be distributed and analysed, often with many consumers or systems interested in all or part of the events. Dependent on the size and quantity of such events, this can quickly be in the range of Big Data. How can we efficiently collect and transmit these events? How can we make sure that we can always report over historical events? How can these new events be integrated into traditional infrastructure and application landscape?
Starting with a product and technology neutral reference architecture, we will then present different solutions using Open Source frameworks and the Oracle Stack both for on premises as well as the cloud.
Data Modelling and Knowledge Engineering for the Internet of ThingsCory Andrew Henson
Tutorial on Data Modelling and Knowledge Engineering for the Internet of Things, presented at EKAW 2012, Galway City, Ireland, October 8-12, 2012
http://knoesis.org/iot-tutorial-ekaw2012/
Powering the Internet of Things with Apache HadoopCloudera, Inc.
Without the right data management strategy, investments in Internet of Things (IoT) can yield limited results. Apache Hadoop has emerged as a key architectural component that can help make sense of IoT data, enabling never before seen data products and solutions.
Bhadale group of companies edge intelligence services catalogueVijayananda Mohire
This is our offering for the edge computing and edge intelligence using IoT devices, frameworks and related technologies to bring in better intelligence at the edge
Phoenix Data Conference - Big Data Analytics for IoT 11/4/17Mark Goldstein
“Big Data for IoT: Analytics from Descriptive to Predictive to Prescriptive” was presented to the Phoenix Data Conference on 11/4/17 at Grand Canyon University.
As the Internet of Things (IoT) floods data lakes and fills data oceans with sensor and real-world data, analytic tools and real-time responsiveness will require improved platforms and applications to deal with the data flow and move from descriptive to predictive to prescriptive analysis and outcomes.
All Together Now: Connected Analytics for the Internet of EverythingInside Analysis
The Briefing Room with Mark Madsen and Cisco
Live Webcast August 18, 2015
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=0eff120f8b2879b582b77f4ff207ee54
Today's digital enterprises are seeing an explosion of data at the edge. The Internet of Everything is fast approaching a critical mass that will demand a sea change in how companies process data. This new world of information is widely distributed, streaming, and overall becoming too big to move. Experts predict that within two to three years, the bulk of analytic processing will take place on the fringes of information architectures. As a result, forward-thinking companies are dramatically shifting their analytic strategies.
Register for this episode of The Briefing Room to hear veteran Analyst Mark Madsen of Third Nature explain how a new era of information architectures is now unfolding, paving the way to much more responsive and agile business models. He'll be briefed by Kim Macpherson of the Cisco Data and Analytics Business Unit, who will explain how her company's platform is uniquely suited for this new, federated analytic paradigm. She'll demonstrate how edge analytics can help companies address opportunities quickly and effectively.
Visit InsideAnalysis.com for more information.
Accelerate Self-Service Analytics with Data Virtualization and VisualizationDenodo
Watch full webinar here: https://bit.ly/3fpitC3
Enterprise organizations are shifting to self-service analytics as business users need real-time access to holistic and consistent views of data regardless of its location, source or type for arriving at critical decisions.
Data Virtualization and Data Visualization work together through a universal semantic layer. Learn how they enable self-service data discovery and improve performance of your reports and dashboards.
In this session, you will learn:
- Challenges faced by business users
- How data virtualization enables self-service analytics
- Use case and lessons from customer success
- Overview of the highlight features in Tableau
A Connected Data Landscape: Virtualization and the Internet of ThingsInside Analysis
The Briefing Room with Dr. Robin Bloor and Cisco
Live Webcast March 3, 2015
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=a75f0f379405de155800a37b2bf104db
Data at rest, data in motion - regardless of its trajectory, data remains the lifeblood of today's information economy. But finding a way to bridge old systems with new opportunities requires an innovative data strategy, one that takes advantage of multiple processing technologies. With the optimal architecture in place, companies can harness years of work in traditional information systems, while opening the door to the flood of new data sources available.
Register for this episode of The Briefing Room to learn from veteran Analyst Dr. Robin Bloor, as he explains how data virtualization and other data technologies fundamentally change what's possible with data access, movement and analysis. He'll be briefed by David Besemer of Cisco, who will discuss how this new kind of data strategy can enable the integration of legacy systems, Cloud computing and the Internet of Things. He'll also answer questions about how Big Data and the IoT are helping to redefine the practice of data management.
Visis InsideAnalysis.com for more information.
Information processing and analytics cannot be focused only on “store-first” or batch-based approaches. To provide maximum business value, information must also be analyzed closer to the source, and at the speed in which it is being created. Streaming analytics utilizes various techniques for intelligently processing data as it arrives at the edge or within the data center, with the purpose of proactively identifying threats or opportunities for your business.
Most people have heard of Bitcoin, and also know that blockchain is one of the underlying concepts behind this cryptocurrency. However, the ability to share information via a shared, trusted distributed network with embedded business logic also has many potential benefits for an enterprise deployment.
IoT - Retour d'expérience de projets clients dans le domaine IoT. Michael Epprecht, Technical Specialist in the Global Black Belt IoT Team at Microsoft. Conférence donnée dans le cadre du Swiss Data Forum, du 24 novembre 2015 à Lausanne
Vertex Perspectives | AI-optimized Chipsets | Part IVertex Holdings
Businesses are increasingly adopting AI to create new applications to transform existing operations, driving big data with the growth of IoT and 5G networks and increasing future process complexities for human operators. In this new environment, AI will be needed to write algorithms dynamically to automate the entire programming process. Fortunately, algorithms associated with deep learning are able to achieve enhanced performance with increasing data, unlike the rest associated with machine learning. To date, deep learning technology has primarily been a software play. Existing processors were not originally designed for these new applications. Hence the need to develop AI-optimized hardware.
Short introduction to Big Data Analytics, the Internet of Things, and their s...Andrei Khurshudov
Invited talk at the 26th ASME annual conference on information and storage and processing systems (ISPS 2017) held at Hilton San Francisco District, San Francisco, California, USA from August 29–30, 2017.
Bhadale group of companies - quantum technology programs catalogueVijayananda Mohire
This is our catalogue that offers various services in areas of quantum technologies that help in better systems designs that consume less power, provide more computing, better sensing, and solutions to many real-world problems
To Serve and Protect: Making Sense of Hadoop Security Inside Analysis
The Briefing Room with Dr. Robin Bloor and HP Security Voltage
Live Webcast September 22, 2015
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=45ece7082b1d7c2cc8179bc7a1a69ea5
Hadoop is rapidly becoming a development platform and dominant server environment, and organizations are keen to take advantage of its massively scalable – and relatively inexpensive – resources. It is not, however, without its limitations, and it often requires a contingent of complementary components in order to behave within an information architecture. One area often overlooked is security, a factor that, if not considered from the onset, can insert great risk when putting sensitive data in Hadoop.
Register for this episode of The Briefing Room to learn from veteran Analyst Dr. Robin Bloor as he discusses how security was never a design point for Hadoop and what organizations can do about it. He’ll be briefed by Sudeep Venkatesh of HP Security Voltage, who will explain the intricacies surrounding a secure Hadoop implementation. He will show how techniques like format-preserving and partial-field encryption can allow for analytics over protected data, with zero performance impact.
Visit InsideAnalysis.com for more information.
Accelerating analytics on the Sensor and IoT Data. Keshav Murthy
Informix Warehouse Accelerator (IWA) has helped traditional
data warehousing performance to improve dramatically. Now,
IWA accelerates analytics over the sensor data stored in relational and timeseries data.
Towards application development for the internet of things updatedPankesh Patel
The Internet of Things (IoT) integrates the physical world with the existing Internet, and is rapidly gaining popularity, thanks to the increased adoption of smart phones and sensing devices. One of the important challenges in this domain is to enable domain experts to easily specify applications for the IoT. As a
first step towards developing a suitable programming
abstraction, in this paper we present a domain
model for applications in the Internet of Things, based on a
survey of recently proposed IoT applications from the real
world that represent a wide class of behaviors found in IoT
use cases.
Framework GSM para Pruebas AutomatizadasSoftware Guru
La automatización de pruebas de software consiste en utilizar herramientas y estrategias para reducir la intervención o interacción humana en tareas redundantes, repetitivas o complejas. Esta automatización se ve reflejada en secuencias de comandos (o por su traducción al inglés “Scripts”) con los que podemos aumentar de forma drástica la capacidad de probar el software. Para poder simplificar aún más el tiempo de diseño y ejecución de dichos scripts se han desarrollado los llamados marcos de trabajo (o comúnmente conocidos como framework por su traducción al inglés), que son un conjunto de suposiciones, conceptos y prácticas que proporcionan apoyo a las pruebas de software automatizado.
Powering the Internet of Things with Apache HadoopCloudera, Inc.
Without the right data management strategy, investments in Internet of Things (IoT) can yield limited results. Apache Hadoop has emerged as a key architectural component that can help make sense of IoT data, enabling never before seen data products and solutions.
Bhadale group of companies edge intelligence services catalogueVijayananda Mohire
This is our offering for the edge computing and edge intelligence using IoT devices, frameworks and related technologies to bring in better intelligence at the edge
Phoenix Data Conference - Big Data Analytics for IoT 11/4/17Mark Goldstein
“Big Data for IoT: Analytics from Descriptive to Predictive to Prescriptive” was presented to the Phoenix Data Conference on 11/4/17 at Grand Canyon University.
As the Internet of Things (IoT) floods data lakes and fills data oceans with sensor and real-world data, analytic tools and real-time responsiveness will require improved platforms and applications to deal with the data flow and move from descriptive to predictive to prescriptive analysis and outcomes.
All Together Now: Connected Analytics for the Internet of EverythingInside Analysis
The Briefing Room with Mark Madsen and Cisco
Live Webcast August 18, 2015
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=0eff120f8b2879b582b77f4ff207ee54
Today's digital enterprises are seeing an explosion of data at the edge. The Internet of Everything is fast approaching a critical mass that will demand a sea change in how companies process data. This new world of information is widely distributed, streaming, and overall becoming too big to move. Experts predict that within two to three years, the bulk of analytic processing will take place on the fringes of information architectures. As a result, forward-thinking companies are dramatically shifting their analytic strategies.
Register for this episode of The Briefing Room to hear veteran Analyst Mark Madsen of Third Nature explain how a new era of information architectures is now unfolding, paving the way to much more responsive and agile business models. He'll be briefed by Kim Macpherson of the Cisco Data and Analytics Business Unit, who will explain how her company's platform is uniquely suited for this new, federated analytic paradigm. She'll demonstrate how edge analytics can help companies address opportunities quickly and effectively.
Visit InsideAnalysis.com for more information.
Accelerate Self-Service Analytics with Data Virtualization and VisualizationDenodo
Watch full webinar here: https://bit.ly/3fpitC3
Enterprise organizations are shifting to self-service analytics as business users need real-time access to holistic and consistent views of data regardless of its location, source or type for arriving at critical decisions.
Data Virtualization and Data Visualization work together through a universal semantic layer. Learn how they enable self-service data discovery and improve performance of your reports and dashboards.
In this session, you will learn:
- Challenges faced by business users
- How data virtualization enables self-service analytics
- Use case and lessons from customer success
- Overview of the highlight features in Tableau
A Connected Data Landscape: Virtualization and the Internet of ThingsInside Analysis
The Briefing Room with Dr. Robin Bloor and Cisco
Live Webcast March 3, 2015
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=a75f0f379405de155800a37b2bf104db
Data at rest, data in motion - regardless of its trajectory, data remains the lifeblood of today's information economy. But finding a way to bridge old systems with new opportunities requires an innovative data strategy, one that takes advantage of multiple processing technologies. With the optimal architecture in place, companies can harness years of work in traditional information systems, while opening the door to the flood of new data sources available.
Register for this episode of The Briefing Room to learn from veteran Analyst Dr. Robin Bloor, as he explains how data virtualization and other data technologies fundamentally change what's possible with data access, movement and analysis. He'll be briefed by David Besemer of Cisco, who will discuss how this new kind of data strategy can enable the integration of legacy systems, Cloud computing and the Internet of Things. He'll also answer questions about how Big Data and the IoT are helping to redefine the practice of data management.
Visis InsideAnalysis.com for more information.
Information processing and analytics cannot be focused only on “store-first” or batch-based approaches. To provide maximum business value, information must also be analyzed closer to the source, and at the speed in which it is being created. Streaming analytics utilizes various techniques for intelligently processing data as it arrives at the edge or within the data center, with the purpose of proactively identifying threats or opportunities for your business.
Most people have heard of Bitcoin, and also know that blockchain is one of the underlying concepts behind this cryptocurrency. However, the ability to share information via a shared, trusted distributed network with embedded business logic also has many potential benefits for an enterprise deployment.
IoT - Retour d'expérience de projets clients dans le domaine IoT. Michael Epprecht, Technical Specialist in the Global Black Belt IoT Team at Microsoft. Conférence donnée dans le cadre du Swiss Data Forum, du 24 novembre 2015 à Lausanne
Vertex Perspectives | AI-optimized Chipsets | Part IVertex Holdings
Businesses are increasingly adopting AI to create new applications to transform existing operations, driving big data with the growth of IoT and 5G networks and increasing future process complexities for human operators. In this new environment, AI will be needed to write algorithms dynamically to automate the entire programming process. Fortunately, algorithms associated with deep learning are able to achieve enhanced performance with increasing data, unlike the rest associated with machine learning. To date, deep learning technology has primarily been a software play. Existing processors were not originally designed for these new applications. Hence the need to develop AI-optimized hardware.
Short introduction to Big Data Analytics, the Internet of Things, and their s...Andrei Khurshudov
Invited talk at the 26th ASME annual conference on information and storage and processing systems (ISPS 2017) held at Hilton San Francisco District, San Francisco, California, USA from August 29–30, 2017.
Bhadale group of companies - quantum technology programs catalogueVijayananda Mohire
This is our catalogue that offers various services in areas of quantum technologies that help in better systems designs that consume less power, provide more computing, better sensing, and solutions to many real-world problems
To Serve and Protect: Making Sense of Hadoop Security Inside Analysis
The Briefing Room with Dr. Robin Bloor and HP Security Voltage
Live Webcast September 22, 2015
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=45ece7082b1d7c2cc8179bc7a1a69ea5
Hadoop is rapidly becoming a development platform and dominant server environment, and organizations are keen to take advantage of its massively scalable – and relatively inexpensive – resources. It is not, however, without its limitations, and it often requires a contingent of complementary components in order to behave within an information architecture. One area often overlooked is security, a factor that, if not considered from the onset, can insert great risk when putting sensitive data in Hadoop.
Register for this episode of The Briefing Room to learn from veteran Analyst Dr. Robin Bloor as he discusses how security was never a design point for Hadoop and what organizations can do about it. He’ll be briefed by Sudeep Venkatesh of HP Security Voltage, who will explain the intricacies surrounding a secure Hadoop implementation. He will show how techniques like format-preserving and partial-field encryption can allow for analytics over protected data, with zero performance impact.
Visit InsideAnalysis.com for more information.
Accelerating analytics on the Sensor and IoT Data. Keshav Murthy
Informix Warehouse Accelerator (IWA) has helped traditional
data warehousing performance to improve dramatically. Now,
IWA accelerates analytics over the sensor data stored in relational and timeseries data.
Towards application development for the internet of things updatedPankesh Patel
The Internet of Things (IoT) integrates the physical world with the existing Internet, and is rapidly gaining popularity, thanks to the increased adoption of smart phones and sensing devices. One of the important challenges in this domain is to enable domain experts to easily specify applications for the IoT. As a
first step towards developing a suitable programming
abstraction, in this paper we present a domain
model for applications in the Internet of Things, based on a
survey of recently proposed IoT applications from the real
world that represent a wide class of behaviors found in IoT
use cases.
Framework GSM para Pruebas AutomatizadasSoftware Guru
La automatización de pruebas de software consiste en utilizar herramientas y estrategias para reducir la intervención o interacción humana en tareas redundantes, repetitivas o complejas. Esta automatización se ve reflejada en secuencias de comandos (o por su traducción al inglés “Scripts”) con los que podemos aumentar de forma drástica la capacidad de probar el software. Para poder simplificar aún más el tiempo de diseño y ejecución de dichos scripts se han desarrollado los llamados marcos de trabajo (o comúnmente conocidos como framework por su traducción al inglés), que son un conjunto de suposiciones, conceptos y prácticas que proporcionan apoyo a las pruebas de software automatizado.
SOA. ¿Moda, o solución para todas las empresas?Software Guru
En esta plática se tratara de abordar las problemáticas de elegir o no una plataforma SOA.
Muchas veces las soluciones SOA son implementadas de forma incorrecta por personal que no cuenta con los skills necesarios para hacerlo, o son bien implementadas pero en lugares donde el negocio ni siquiera necesitaba este tipo de solución. Es por esto, que muchas veces las soluciones SOA pierdan credibilidad en el momento de elegir una solución empresarial.
En el transcurso de la plática se mostrara ejemplos de implementaciones exitosas desde un punto de vista neutral al producto y los criterios de decisión para elegir los correctos componentes de la solución.
A Modular Open Source Platform for Web Scale IoT InteroperabilityMichael Koster
IoT is a macro instance of the M-V-C pattern. Open source software components built from IoT Toolkit, Node-RED, and Dojo Toolkit create an open source stack for the Internet of Things
Naming, Search and Discovery in IoT: Issues and proposed solutions in the FP7...iotest
Naming, Search and Discovery in IoT: Issues and proposed solutions in the FP7 EU IoT.est Project, presented at the IERC AC2 meeting at the FIA (Future Internet Assembly), Aalborg, Denmark, 9 May 2012
Intelligent Internet of Things (IIoT): System Architectures and CommunicationsRaghu Nandy
Internet of Things (IoT) can be designed by various approaches with optimistic technology choices. This paper focuses on comparing recent studies on architectural choices and communication approaches for IoT Systems. Understanding Goals of an IoT system and inventing a general prototype for general IoT solutions is unique challenging. Existing research prototypes provide us information about IoT systems and their challenges. Existing architectures and communication approaches such as such as Service Oriented Architecture (SOA), Instant Messaging (XMPP) and Web- Sockets Service can be used to develop a general IoT System prototype. SOA provides centralized/decentralized IoT systems. Instant Message services such as XMPP can be used to build distributed and secure IoT platforms. Web-sockets also used to build scalable IoT systems. Over all the choice depends on IoT system Goal and limitations. Intelligent IoT (IIoT) Systems can be seen as decision making system. IoT systems can be built on Cloud infrastructures With Sensor Event as a Service (SEaaS) - Cloud Sensor networks can enable applications to access on demand real-time sensor data. A generic IoT platform can be built and extended to a newer applications and platforms.
Internet of Things (IoT) - in the cloud or rather on-premises?Guido Schmutz
You want to implement a Big Data or Internet of Things (IoT) solution and like to know if it should be implemented in the cloud or on-premises. You are interested in the cloud offerings of vendors and what benefits they provide and if a similar solution would not be possible on-premises.
This presentation deals with this and other questions. Starting from a vendor-independent reference architecture and corresponding design patterns, different cloud solutions from various vendors are compared and rated. Additionally, it will be shown how such solution could be implemented on-premises and how a hybrid IoT solution could look like.
You know better than anyone how IoT is transforming your industry. It is a business revolution that offers many opportunities. But let’s be honest, it comes also with its challenges.
Time for action!
It can be a challenge to figure out which is the best set of services to bring together. Codit knows what you need. We have been building IoT solutions right from the start, for companies just like yours. Understanding business cases and translating them to working solutions is what we do.
Presentation is about Transition Technologies PSC. We specialize in creation IT solutions for the manufacturing industry, especially Connected Product Lifecycle Management software and industrial exploitation of the newest Internet of Things (IoT) and Augmented Reality (AR) technologies. We are open to business proposals - just contact us.
The Internet of things (IoT) is the extension of Internet connectivity into physical devices and everyday objects.
Presentation cover below topics
How IoT works ? IoT Key Components. Enabling technologies for IoT, IoT Connectivity , Technology Road Map. Iot architecture, How to Choose the Right IoT Platform,Benefits of IoT, IoT adoption barriers, Challenges for IoT security:
Other Challenges
Verso IoT experience – What have we learned from implementations all over the...Bosnia Agile
IoT projects face many obstacles on their journey from idea to end-to-end solution. Technology is less an issue, with many vendors and solutions emerging every day. This brings optimism, but also concerns about proper future proof choice and interoperability issues. Even bigger concerns are present in business model definition, business cases creation, go-to-market strategy preparation which requires organizational changes that companies need to conduct in order to be long-term successful in the IoT domain. Verso deploys many projects worldwide, focusing mainly on communication part of IoT solution, however being involved in business discussion as well. What are common technological and business obstacles and what are best practices to resolve them will be the main feature of our presentation.
Denodo DataFest 2016: Big Data Virtualization in the CloudDenodo
Watch the full session: Denodo DataFest 2016 sessions: https://goo.gl/kahTgf
Many firms are adopting “cloud first” strategy and are migrating their on-premises technologies to the cloud. Logitech is one of them. They have adopted the AWS platform and big data on the cloud for all of their analytical needs, including Amazon Redshift and S3.
In this presentation, the Principal of Big Data and Analytics team at Logitech, Avinash Deshpande will present:
• The business rationale for migrating to the cloud
• How data virtualization enables the migration
• Running data virtualization itself in the cloud
This session also includes a panel discussion with:
• Avinash Deshpande, Principal – Big Data and Analytics at Logitech
• Kurt Jackson, Platform Lead at Autodesk
• Dan Young, Chief Data Architect at Indiana University
• Paul Moxon, Head of Product Management at Denodo (as moderator)
This session is part of the Denodo DataFest 2016 event. You can also watch more Denodo DataFest sessions on demand here: https://goo.gl/VXb6M6
Why integration is key in IoT solutions? (Sam Vanhoutte @Integrate2017)Codit
While working on several Internet of Things projects with different customers in Europe, it became clear that Integration matters more than ever. Building an overall IoT solution requires many different technologies and skills. The Architect role is crucial to combining different services into one solid solution. Integration skills are extremely important in building robust and scalable IoT solutions. Every phase of the IoT value chain requires integration, since IoT solutions are distributed and decoupled by nature. Retro-fitting existing devices? Routing of telemetry data? Or even exposing analytics results through secured APIs? All these challenges require integration skills. Skills that are very familiar to specialists in the Integration business. This presentation will explain why these are great times to be an Integration expert and how we can help tackling current challenges.
"Cindy Xing is a Principal Software Dev Lead at Microsoft, with over 15 years of working experience in building and delivering large scale software distributed systems.
Her talk during the Data Science Conference will be focused on Edge Computing. Edge computing is the practice of processing data near the edge of your network, where the data is being generated, instead of in a centralized data-processing warehouse."
Discover existing customer stories from various industries such as manufacturing, logistics and construction. No theoretical use cases, but in-depth insights that will help you on how to get started with IoT.
VoltDB and HPE Vertica Present: Building an IoT Architecture for Fast + Big DataVoltDB
This webinar with Chris Selland of HPE Vertica and Dennis Duckworth of VoltDB addresses the growing challenges with managing a complex IoT solution and how to enable real-time operational interaction with comprehensive data analytics.
The truth about IoT field gateways (Sam Vanhoutte @IoT Convention Europe 2017) Codit
Should you connect devices directly to the cloud, or rather consolidate them via a field gateway? Discover the main raisons behind introducing a gateway into your IoT architecture, how they accelerate a rollout and what capabilities should you look for. Learn how gateways cope with connectivity issues and security challenges. Discover from Sam’s experiences how crucial IoT field gateways are for the future roadmap of your IoT solution. Being a connected company is no small decision. But you can make it easy;
Similar to Internet of Things IoT Guido Schmutz (20)
0x01 - Newton's Third Law: Static vs. Dynamic AbusersOWASP Beja
f you offer a service on the web, odds are that someone will abuse it. Be it an API, a SaaS, a PaaS, or even a static website, someone somewhere will try to figure out a way to use it to their own needs. In this talk we'll compare measures that are effective against static attackers and how to battle a dynamic attacker who adapts to your counter-measures.
About the Speaker
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Diogo Sousa, Engineering Manager @ Canonical
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This presentation by Morris Kleiner (University of Minnesota), was made during the discussion “Competition and Regulation in Professions and Occupations” held at the Working Party No. 2 on Competition and Regulation on 10 June 2024. More papers and presentations on the topic can be found out at oe.cd/crps.
This presentation was uploaded with the author’s consent.
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Have you ever wondered how search works while visiting an e-commerce site, internal website, or searching through other types of online resources? Look no further than this informative session on the ways that taxonomies help end-users navigate the internet! Hear from taxonomists and other information professionals who have first-hand experience creating and working with taxonomies that aid in navigation, search, and discovery across a range of disciplines.
International Workshop on Artificial Intelligence in Software Testing
Internet of Things IoT Guido Schmutz
1. BASEL BERN BRUGG DÜSSELDORF FRANKFURT A.M. FREIBURG I.BR. GENEVA
HAMBURG COPENHAGEN LAUSANNE MUNICH STUTTGART VIENNA ZURICH
Internet of Things (IoT)
Are traditional architectures good enough?
Guido Schmutz
2. Guido Schmutz
Working for Trivadis for more than 18 years
Oracle ACE Director for Fusion Middleware and SOA
Co-Author of different books
Consultant, Trainer Software Architect for Java, Oracle, SOA and
Big Data / Fast Data
Member of Trivadis Architecture Board
Technology Manager @ Trivadis
More than 25 years of software development experience
Contact: guido.schmutz@trivadis.com
Blog: http://guidoschmutz.wordpress.com
Twitter: gschmutz
3. Unser Unternehmen.
Trivadis ist führend bei der IT-Beratung, der Systemintegration, dem Solution
Engineering und der Erbringung von IT-Services mit Fokussierung auf - und
-Technologien in der Schweiz, Deutschland, Österreich und Dänemark. Trivadis erbringt
ihre Leistungen aus den strategischen Geschäftsfeldern:
Trivadis Services übernimmt den korrespondierenden Betrieb Ihrer IT Systeme.
B E T R I E B
7. Internet of Things Wave
Internet of Things (IoT): Enabling
communication betweendevices,people&
processesto exchangeusefulinformation &
knowledgethat create value for humans
Term was first proposedby Kevin Ashtonin
1999
The conceptof IoT first became
popularat the Auto-ID centerand MIT
IoT can also be named M2M
8. Reasons why IoT opportunity is occurring now ?
Affordable hardware
• Costs of actuators & sensors have been cut
in half over last 10 years
Smaller, but more powerful hardware
• Form factors of hardware have shrunk to
millimeter or even nanometer levels
Ubiquitous & cheap mobility
• Cost for mobile devices, bandwidth and data
processing has declined as much as 97%
over last 10 years
Availability of supporting tools
• Big data tools & cloud based infrastructure have
become widely available and fairly sophisticated
Mass market awareness
• IoT has surpassed a critical tipping point
• Vision of a connected world has reached such a
followership that companies have initiated IoT
developments
• Commitment is irreversible
10. IoT Solution Types
Thing-centric
q Things are smart on their own
q store most of their data on-board
q Things are self-sufficient and communicate to the Internet only for centralized coordination
Gateway-centric
q gateway houses the application logic, stores data and communicates with the Internet for the things
that are connected to it
q Things don’t have to be as smart, because the gateway provides these resources
11. IoT Solution Types
Smartphone-centric
q The smartphone (or any mobile device) houses the application logic, stores data and communicates
with the Internet for the things that are connected to it
q Things don’t have to be as smart, because the smartphone provides these resources
Cloud-centric
q The cloud will act as the central connection hub, power analytics and provision data storage
q Things don’t have to be as smart, because the cloud will provide these resources
Enterprise-centric
q Things are behind a firewall and are geographically co-located
q There is little need to extend out to the external Internet
13. A little story of a “real-life” customer situation
Traditional system interact with its clients
and does its work
Implemented using legacy technologies (i.e.
PL/SQL)
New requirement:
• Offer notification service to notify
customer when goods are shipped
• Subscription and inform over different
channels
• Existing technology doesn’t fit
delivery
Logistic
System
Oracle
Mobile Apps
Sensor ship
sort
16
Rich (Web)
Client Apps
DB
schedule
Logic
(PL/SQL)
delivery
14. A little story of a “real-life” customer situation
Events are “owned” by traditional
application (as well as the channels
they are transported over)
Implement notification as a new Java-based
application/system
But we need the events ! => so let’s
integrate
delivery
Logistic
System
Oracle
Mobile Apps
Sensor ship
sort
17
Rich (Web)
Client Apps
DB
schedule
Notification
Logic
(PL/SQL)
Logic
(Java)
delivery
SMS
Email
…
15. A little story of a “real-life” customer situation
integrate in order to get the information!
Oracle Service Bus was already there
Rule Engine implemented in Java and invoked from
OSB message flow
Notification system informed via queue
Higher Latency introduced (good enough in this
case)
delivery
Logistic
System
Oracle
Oracle
Service Bus
Mobile Apps
Sensor AQship
sort
18
Rich (Web)
Client Apps
DB
schedule
Filter
Notification
Logic
(PL/SQL)
JMS
Rule Engine
(Java)
Logic
(Java)
delivery
shipdelivery
delivery true SMS
Email
…
16. A little story of a “real-life” customer situation
Treat events as first-class citizens
Events belong to the “enterprise” and
not an individual system => Catalog of
Events similar to Catalog of
Services/APIs !!
Event (stream) processing can be
introduced and by that latency reduced!
delivery
Logistic
System
Oracle
Oracle
Service Bus
Mobile Apps
Sensor AQship
sort
19
Rich (Web)
Client Apps
DB
schedule
Filter
Notification
Logic
(PL/SQL)
JMS
Rule Engine
(Java)
Logic
(Java)
delivery
shipdelivery
delivery true SMS
Email
…
17. Treat Events as Events and make them globally
available
delivery
Logistic
System
Oracle
Oracle
Service Bus
Mobile Apps
Sensor
ship
sort
20
Rich (Web)
Client Apps
DB
schedule
Filter
Notification
Logic
(PL/SQL)
JMS
Rule Engine
(Java)
Logic
(Java)
delivery
ship
delivery true SMS
Email
…
Event
Bus/Hub
Stream/Event
Processing
19. Key Challenges for building an IoT application
Connect: How to collect data from intelligent devices?
• Abstract complexity associated with device connectivity
• Standardize integration of devices with enterprise
Analyze: How to analyze IoT data?
• Reduce noise and detect business event at real-time
• Enable historical big-data analysis
Integrate: How to integrate IoT data & events with enterprise infrastructure?
• Make enterprise processes IoT friendly
• Allow enterprise & mobile applications to control devices
20. Distribute runtime portion of IoT Analytics to the edge
Some IoT Analytics applications need to be distributed, so that processing can take
place in devices, gateways, smart routers, servers at the site where sensor data is
generated
Three main reasons:
• The factory, vehicle, home or other edge location needs to stay in operation, even when the
corporate data center or cloud is down or not reachable
• Wide-are communication is generally to slow
• Transmitting all sensor data to corporate or cloud data center may be impractical or
impossible if the volume of data is high or if reliable, high-bandwidth networks are
unavailable
21. Data and IoT
Several types of data play a role in an IoT deployment:
• Continuous environmental and positional data
• Multidimensional time series data
• Descriptive data (metadata) about objects, systems and processes
• Historical data
• Analytical models
• Radio frequency identification (RFID) data
Assess the variety of data used in your IoT architecture to refine your datastore requirements
=> NoSQL
Understand the unique optimizations for time series data and analysis => NoSQL
27. Enterprise Service Bus (ESB)
3) IoT with Big Data Analytics
Enterprise
Applications
WS
External Cloud
Service
Providers
BPM and SOA
Platform
Event
Business
Logic/Rules
Business Intelligence
IoT Device
Enterprise Event Bus (Ingress)
Enterprise
Event Bus
Services
WS
Event
Processes
Gateway
ESP/CEP
Hadoop Big Data
Infrastructure
HDFS
Batch
Processing
IoT Smart
Device
Viszualization
Analytics
DBDB
API Gateway
30
Mobile Apps
DB
Rich (Web)
Client Apps
DB
Social Media
Streams
= one way
= request/response
29. Enterprise Service Bus (ESB)
3) IoT with Big Data Analytics - Oracle
Enterprise
Applications
WS
External Cloud
Service
Providers
BPM and SOA
Platform
Event
Business
Logic/Rules
Business Intelligence
IoT Device
Enterprise Event Bus (Ingress)
Enterprise
Event Bus
Services
WS
Event
Processes
Gateway
ESP/CEP
Hadoop Big Data
Infrastructure
HDFS
Batch
Processing
IoT Smart
Device
Viszualization
Analytics
DBDB
API Gateway
32
Mobile Apps
DB
Rich (Web)
Client Apps
DB
Social Media
Streams
= one way
= request/response
Oracle Event
Processing
For Embedded
Oracle Event
Processing
For Embedded
SerivceBus
Oracle BigData Appliance
Oracle NoSQL
Stream Explorer
Business Activity
Monitoring
Oracle Data Integrator
API Gateway
SOA Suite
BPM Suite
33. Enterprise Service Bus (ESB)
Stream Processing
Infrastructure
IoT Reference Architecture
Enterprise
Applications
WS
External Cloud
Service
Providers
BPM and SOA
Platform
Event
Business
Logic/Rules
Business Intelligence
IoT Device
36
Mobile Apps
DB
Rich (Web)
Client Apps
DB
Social Media
Streams
Enterprise Event Bus (Ingress)
Enterprise
Event Bus
Services
WS
Event
Processes
Gateway
ESP/CEP
Hadoop Big Data
Infrastructure
HDFS
ESP/CEP
Batch
Processing
IoT Smart
Device
Viszualization
Analytics
DB
DB
DB
DB
API Gateway
= one way
= request/response
35. Enterprise Service Bus (ESB)
Stream Processing
Infrastructure
Enterprise
Applications
WS
External Cloud
Service
Providers
BPM and SOA
Platform
Event
Business
Logic/Rules
Business Intelligence
IoT Device
38
Mobile Apps
DB
Rich (Web)
Client Apps
DB
Social Media
Streams
Enterprise Event Bus (Ingress)
Enterprise
Event Bus
Services
WS
Event
Processes
Gateway
ESP/CEP
Hadoop Big Data
Infrastructure
HDFS
ESP/CEP
Batch
Processing
IoT Smart
Device
Viszualization
Analytics
DB
DB
DB
DB
API Gateway
IoT Reference Architecture – Oracle Platform
Internet of Things - Sind traditionelle Architekturen gut
genug?
= one way
= request/response
Oracle Event
Processing
For Embedded
Oracle Event
Processing
For Embedded
SerivceBus
Oracle Event Processing
Stream Explorer
Oracle BigData Appliance
Oracle NoSQL
Oracle NoSQL
Stream Explorer
Business Activity
Monitoring
Oracle Data Integrator
SerivceBusAPI Gateway
Coherence
SOA Suite
BPM Suite
42. Summary
Treat events as events! Infrastructures for handling lots of events are available!
IoT tends to make Big Data / Fast Data infrastructures necessary
Know your use case/requirements to choose the right architecture!
Can my existing backend landscape handle the new IoT load?
Do I have to handle huge amount of events in “real-time”?
Do I need to filter/aggregate data before invoking existing backend systems?
Do I want to do Advanced Analytics (predictive analytics) where historical information is necessary?
What is the network bandwidth between device/gateway and cloud/backend?
Centralized or Decentralized IoT solution?