Increased Scalability: IoT devices need a lot of storage to share information for valuable purposes. Iot in cloud , like the StoneFly Cloud Connect to Microsoft Azure can provide customers with greater space which can increase as per the users demand. Helping to resolve the storage needs of customers.
As IoT is becoming more mainstream, the industry is facing several challenges. My presentation highlight several new technologies that we help IoT towards maturity.
TIBCO BWCE and Netflix' Hystrix Circuit Breaker for Cloud Native Middleware M...Kai Wähner
These slides show how to use TIBCO BusinessWorks Container Edition (BWCE) with Netflix' Hystrix Open Source Implementation of the Design Pattern 'Circuit Breaker' to develop, deploy and monitor cloud native middleware microservices.
Video recording with live demo: https://youtu.be/VL7-T6IIuZk
Find more information about cloud native middleware at https://community.tibco.com/wiki/microservices-containers-and-cloud-native-architectures
Cloud services are rapidly expanding to devices at network edge where they are referred to as fog clouds. User smartphones, portable WiFi devices, vehicles, etc., can be easily incorporated into fog clouds. However, proliferation has been slow mainly because the 3G/LTE connections used by such devices to connect to the cloud are congested and cannot provide satisfactory throughput. This problem can be resolved when devices are grouped, their 3G/LTE resources are pooled and their virtual use is optimized within the group. This paper is the first known attempt to propose a minimal secure protocol for forming groups of WiFi IoT devices. The minimal requirement is that the pairwise handshake is a 3-party transaction, with the cloud being both the facilitator of the transaction as well as the only trusted party. The handshake starts at the level of WiFi Access Points (hotspots) but, once paired, the devices are assumed to use P2P WiFi in parallel with the active 3G/LTE connection, i.e. as part of a GroupConnect session. The proposal is implemented and successfully tested on Android devices.
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.
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.
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 analyzed, 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.
As IoT is becoming more mainstream, the industry is facing several challenges. My presentation highlight several new technologies that we help IoT towards maturity.
TIBCO BWCE and Netflix' Hystrix Circuit Breaker for Cloud Native Middleware M...Kai Wähner
These slides show how to use TIBCO BusinessWorks Container Edition (BWCE) with Netflix' Hystrix Open Source Implementation of the Design Pattern 'Circuit Breaker' to develop, deploy and monitor cloud native middleware microservices.
Video recording with live demo: https://youtu.be/VL7-T6IIuZk
Find more information about cloud native middleware at https://community.tibco.com/wiki/microservices-containers-and-cloud-native-architectures
Cloud services are rapidly expanding to devices at network edge where they are referred to as fog clouds. User smartphones, portable WiFi devices, vehicles, etc., can be easily incorporated into fog clouds. However, proliferation has been slow mainly because the 3G/LTE connections used by such devices to connect to the cloud are congested and cannot provide satisfactory throughput. This problem can be resolved when devices are grouped, their 3G/LTE resources are pooled and their virtual use is optimized within the group. This paper is the first known attempt to propose a minimal secure protocol for forming groups of WiFi IoT devices. The minimal requirement is that the pairwise handshake is a 3-party transaction, with the cloud being both the facilitator of the transaction as well as the only trusted party. The handshake starts at the level of WiFi Access Points (hotspots) but, once paired, the devices are assumed to use P2P WiFi in parallel with the active 3G/LTE connection, i.e. as part of a GroupConnect session. The proposal is implemented and successfully tested on Android devices.
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.
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.
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 analyzed, 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.
IoT Architecture - Are Traditional Architectures Good Enough or do we Need Ne...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.
Slides from my talk at NDC IoT day in Oslo 2014-11-06.
Code is available on GitHub at https://github.com/codeplanner/NDC-InternetOfThingsDay-2014-11-06
How to track the location of an Internet of Things (IoT) device on the blockchain and view it in a Google Maps reader application.
This solution features: (Hardware) Particle.io Electron device using C++ programming; (Platform) Provide Platform running on the Ethereum Network using Solidity smart contracts; (Application) Google Maps leveraging the Provide Platform APIs and running on a node.js platform.
Resources:
http://provide.services
http://particle.io
https://cloud.google.com/maps-platform/
For a video overview of the detailed solution:
https://youtu.be/TTroWlQCwZc
Google's Infrastructure and Specific IoT ServicesIntel® Software
This document discusses Google Cloud Platform's Internet of Things (IoT) solutions. It describes IoT Core, which handles device management and communication, including the Device Manager for registering devices and MQTT Broker for bidirectional messaging. It explains how IoT Core collects analog sensor data from devices and transforms it into useful business insights and intelligence through data processing and analytics services like Cloud Dataflow, BigQuery, and Cloud ML.
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.
Running in the Cloud - First Belgian Azure projectMaarten Balliauw
The document discusses how ChronoRace, a company that provides timing services for sports events, migrated their infrastructure to Windows Azure to handle unpredictable traffic bursts during large events. Key aspects covered include identifying current infrastructure limitations, migrating the VS2003 website and SQL database to Azure, implementing auto-scaling functionality, and addressing issues with video streaming and PDF generation. The migration allowed ChronoRace to scale their infrastructure as needed for events while reducing monthly costs compared to their previous setup.
Running in the Cloud - First Belgian Azure projectMaarten Balliauw
The document discusses how ChronoRace, a company that provides timing services for sports events, migrated their infrastructure to Windows Azure to handle unpredictable traffic bursts during large events. Key points covered include identifying pitfalls of their current on-premise solution, migrating their website and database to Azure, implementing auto-scaling to dynamically scale resources during events, and testing the Azure-based solution at an upcoming large event. The migration overall was successful in addressing ChronoRace's needs, though one component requiring registry access could not be migrated and remains on-premise.
The document discusses architecting applications for the cloud using Microsoft technologies. It provides an overview of Microsoft's Azure platform, including hosting applications on Azure infrastructure as a service (IaaS) or platform as a service (PaaS). It also discusses using Azure storage services like tables, queues and blobs to build scalable cloud applications.
DevOps for Dynamic Interoperability of IoT, Edge and Cloud SystemsHong-Linh Truong
The document discusses DevOps approaches for enabling dynamic interoperability between IoT, edge, and cloud systems. It notes the diversity and complexity of developing IoT cloud applications using various cloud, edge, and IoT resources. It identifies interoperability issues that can occur within and across these systems. It provides an example of interoperability challenges in a maritime port system. And it proposes the use of artifacts, like middleware services and data pipelines, that can be deployed automatically across environments to help achieve dynamic interoperability.
This document summarizes a presentation on Internet of Things (IoT). It discusses why IoT is important now due to forecasted market growth. It presents different device categories and connectivity models for IoT. It also demonstrates connecting various platforms like Windows, Linux and microcontrollers to Azure services for IoT messaging and storage.
Introduction to mago3D, an Open Source Based Digital Twin PlatformSANGHEE SHIN
This talk was given at the Busan Eco Delta City(Korea National Pilot Smart City) technical workshop held on 18th July. I talked about introduction and history of mago3D, some core technologies, real cases, and lessons learnt in this workshop.
The CPaaS.io platform allows to make task logic - e.g., for analytics - to be adaptively moved from the cloud to the edge of an IoT network. This presentation given at the first year review meeting in Tokyo on October 5, 2017 explains how.
Disclaimer:
This document has been produced in the context of the CPaaS.io project which is jointly funded by the European Commission (grant agreement n° 723076) and NICT from Japan (management number 18302). All information provided in this document is provided "as is" and no guarantee or warranty is given that the information is fit for any particular purpose. The user thereof uses the information at its sole risk and liability. For the avoidance of all doubts, the European Commission and NICT have no liability in respect of this document, which is merely representing the view of the project consortium. This document is subject to change without notice.
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.
NashTech - Azure IoT Solutions on Microsoft AzurePhi Huynh
This document discusses Internet of Things (IoT) solutions using Microsoft Azure. It begins with an agenda and some statistics about IoT growth. It then defines IoT and discusses the layers and reference architecture of an IoT solution. It describes Azure IoT Hub and Stream Analytics and how they enable device connectivity, management, and real-time analytics of streaming data. It also discusses Azure IoT preconfigured solutions and provides an example of a connected car solution. Finally, it outlines a smart city solution showcase using Azure services like IoT Hub, Stream Analytics, and Machine Learning.
Second edition of this popular interactive workshop, this time we focussed on the new “Windows Azure Accelerator for Umbraco” CodePlex project.
Topics
Web & Worker Role
Virtual Machine sizes & performance
Storage Types: Blobs, Tables, Azure SQL, queues
No local persistant storage
Network Load Balancing (round robin)
Scale out to multiple instances
Multiples websites in one Azure account
Azure Content Delivery Network
Swap between development & production environments
Typical monthly costs to host Umbraco site
Q&A
Internet of Things and Azure - DevTeach 2016Guy Barrette
This document discusses how Azure services can be used to build Internet of Things (IoT) solutions. It provides an overview of IoT and Azure capabilities, including Azure IoT Hub which allows devices to connect and send data to the cloud. It also describes the Azure IoT Suite, which provides preconfigured solutions for common IoT scenarios to help get started quickly with remote monitoring, predictive maintenance, and other solutions.
Hoe het Azure ecosysteem een cruciale rol speelt in uw IoT-oplossing (Glenn C...Codit
The document discusses how the Azure ecosystem plays a crucial role in IoT solutions. It outlines key Azure services for connecting devices, processing streaming data, implementing business logic, enabling connectivity, and providing insights. These services include IoT Hub for device connectivity, Stream Analytics for real-time analytics, Service Fabric for business logic, Logic Apps for connectivity, and Time Series Insights for streaming insights. The document also presents the Azure IoT reference architecture and recommends starting with preconfigured solutions like IoT Central to get up and running quickly.
The explosive growth of the “Internet of Things” is changing our world and today the Internet of Things knows almost as many applications as there are types of devices connected.
From consumer equipment, to innovate new designs and products at home, to industrial machinery… Everything is connected to the cloud.
In this session Glenn will guide you through the Azure IoT Ecosystem and show you some of the key components of the Azure IoT Platform.
The Access Grid is a technology that enables high-quality video conferencing and collaboration across distributed sites over computational grids. It uses commodity hardware and software like Globus to provide resources like multimedia displays, presentations, and interfaces that allow remote groups to effectively interact and hold meetings as if in person. Various research institutions around the world contribute to its ongoing development and deployment through nodes at their sites to improve functionality and support remote collaboration.
This document summarizes an Internet of Things (IoT) meetup that covered various topics:
- Introduction to IoT and how objects can transfer data over networks.
- Introduction to cloud computing and how resources are shared over the internet.
- IoT architecture including things, gateways, and networks/cloud.
- IoT gateways like Raspberry Pi that interface devices and cloud.
- Sensor interfaces like XBee and RS-485 that connect to gateways.
- Network interfaces like WiFi and GPRS to connect gateways to cloud.
- Cloud architecture models from various sources.
- Data acquisition from devices using open-source Ponte software.
- Data storage
IoT Architecture - Are Traditional Architectures Good Enough or do we Need Ne...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.
Slides from my talk at NDC IoT day in Oslo 2014-11-06.
Code is available on GitHub at https://github.com/codeplanner/NDC-InternetOfThingsDay-2014-11-06
How to track the location of an Internet of Things (IoT) device on the blockchain and view it in a Google Maps reader application.
This solution features: (Hardware) Particle.io Electron device using C++ programming; (Platform) Provide Platform running on the Ethereum Network using Solidity smart contracts; (Application) Google Maps leveraging the Provide Platform APIs and running on a node.js platform.
Resources:
http://provide.services
http://particle.io
https://cloud.google.com/maps-platform/
For a video overview of the detailed solution:
https://youtu.be/TTroWlQCwZc
Google's Infrastructure and Specific IoT ServicesIntel® Software
This document discusses Google Cloud Platform's Internet of Things (IoT) solutions. It describes IoT Core, which handles device management and communication, including the Device Manager for registering devices and MQTT Broker for bidirectional messaging. It explains how IoT Core collects analog sensor data from devices and transforms it into useful business insights and intelligence through data processing and analytics services like Cloud Dataflow, BigQuery, and Cloud ML.
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.
Running in the Cloud - First Belgian Azure projectMaarten Balliauw
The document discusses how ChronoRace, a company that provides timing services for sports events, migrated their infrastructure to Windows Azure to handle unpredictable traffic bursts during large events. Key aspects covered include identifying current infrastructure limitations, migrating the VS2003 website and SQL database to Azure, implementing auto-scaling functionality, and addressing issues with video streaming and PDF generation. The migration allowed ChronoRace to scale their infrastructure as needed for events while reducing monthly costs compared to their previous setup.
Running in the Cloud - First Belgian Azure projectMaarten Balliauw
The document discusses how ChronoRace, a company that provides timing services for sports events, migrated their infrastructure to Windows Azure to handle unpredictable traffic bursts during large events. Key points covered include identifying pitfalls of their current on-premise solution, migrating their website and database to Azure, implementing auto-scaling to dynamically scale resources during events, and testing the Azure-based solution at an upcoming large event. The migration overall was successful in addressing ChronoRace's needs, though one component requiring registry access could not be migrated and remains on-premise.
The document discusses architecting applications for the cloud using Microsoft technologies. It provides an overview of Microsoft's Azure platform, including hosting applications on Azure infrastructure as a service (IaaS) or platform as a service (PaaS). It also discusses using Azure storage services like tables, queues and blobs to build scalable cloud applications.
DevOps for Dynamic Interoperability of IoT, Edge and Cloud SystemsHong-Linh Truong
The document discusses DevOps approaches for enabling dynamic interoperability between IoT, edge, and cloud systems. It notes the diversity and complexity of developing IoT cloud applications using various cloud, edge, and IoT resources. It identifies interoperability issues that can occur within and across these systems. It provides an example of interoperability challenges in a maritime port system. And it proposes the use of artifacts, like middleware services and data pipelines, that can be deployed automatically across environments to help achieve dynamic interoperability.
This document summarizes a presentation on Internet of Things (IoT). It discusses why IoT is important now due to forecasted market growth. It presents different device categories and connectivity models for IoT. It also demonstrates connecting various platforms like Windows, Linux and microcontrollers to Azure services for IoT messaging and storage.
Introduction to mago3D, an Open Source Based Digital Twin PlatformSANGHEE SHIN
This talk was given at the Busan Eco Delta City(Korea National Pilot Smart City) technical workshop held on 18th July. I talked about introduction and history of mago3D, some core technologies, real cases, and lessons learnt in this workshop.
The CPaaS.io platform allows to make task logic - e.g., for analytics - to be adaptively moved from the cloud to the edge of an IoT network. This presentation given at the first year review meeting in Tokyo on October 5, 2017 explains how.
Disclaimer:
This document has been produced in the context of the CPaaS.io project which is jointly funded by the European Commission (grant agreement n° 723076) and NICT from Japan (management number 18302). All information provided in this document is provided "as is" and no guarantee or warranty is given that the information is fit for any particular purpose. The user thereof uses the information at its sole risk and liability. For the avoidance of all doubts, the European Commission and NICT have no liability in respect of this document, which is merely representing the view of the project consortium. This document is subject to change without notice.
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.
NashTech - Azure IoT Solutions on Microsoft AzurePhi Huynh
This document discusses Internet of Things (IoT) solutions using Microsoft Azure. It begins with an agenda and some statistics about IoT growth. It then defines IoT and discusses the layers and reference architecture of an IoT solution. It describes Azure IoT Hub and Stream Analytics and how they enable device connectivity, management, and real-time analytics of streaming data. It also discusses Azure IoT preconfigured solutions and provides an example of a connected car solution. Finally, it outlines a smart city solution showcase using Azure services like IoT Hub, Stream Analytics, and Machine Learning.
Second edition of this popular interactive workshop, this time we focussed on the new “Windows Azure Accelerator for Umbraco” CodePlex project.
Topics
Web & Worker Role
Virtual Machine sizes & performance
Storage Types: Blobs, Tables, Azure SQL, queues
No local persistant storage
Network Load Balancing (round robin)
Scale out to multiple instances
Multiples websites in one Azure account
Azure Content Delivery Network
Swap between development & production environments
Typical monthly costs to host Umbraco site
Q&A
Internet of Things and Azure - DevTeach 2016Guy Barrette
This document discusses how Azure services can be used to build Internet of Things (IoT) solutions. It provides an overview of IoT and Azure capabilities, including Azure IoT Hub which allows devices to connect and send data to the cloud. It also describes the Azure IoT Suite, which provides preconfigured solutions for common IoT scenarios to help get started quickly with remote monitoring, predictive maintenance, and other solutions.
Hoe het Azure ecosysteem een cruciale rol speelt in uw IoT-oplossing (Glenn C...Codit
The document discusses how the Azure ecosystem plays a crucial role in IoT solutions. It outlines key Azure services for connecting devices, processing streaming data, implementing business logic, enabling connectivity, and providing insights. These services include IoT Hub for device connectivity, Stream Analytics for real-time analytics, Service Fabric for business logic, Logic Apps for connectivity, and Time Series Insights for streaming insights. The document also presents the Azure IoT reference architecture and recommends starting with preconfigured solutions like IoT Central to get up and running quickly.
The explosive growth of the “Internet of Things” is changing our world and today the Internet of Things knows almost as many applications as there are types of devices connected.
From consumer equipment, to innovate new designs and products at home, to industrial machinery… Everything is connected to the cloud.
In this session Glenn will guide you through the Azure IoT Ecosystem and show you some of the key components of the Azure IoT Platform.
The Access Grid is a technology that enables high-quality video conferencing and collaboration across distributed sites over computational grids. It uses commodity hardware and software like Globus to provide resources like multimedia displays, presentations, and interfaces that allow remote groups to effectively interact and hold meetings as if in person. Various research institutions around the world contribute to its ongoing development and deployment through nodes at their sites to improve functionality and support remote collaboration.
This document summarizes an Internet of Things (IoT) meetup that covered various topics:
- Introduction to IoT and how objects can transfer data over networks.
- Introduction to cloud computing and how resources are shared over the internet.
- IoT architecture including things, gateways, and networks/cloud.
- IoT gateways like Raspberry Pi that interface devices and cloud.
- Sensor interfaces like XBee and RS-485 that connect to gateways.
- Network interfaces like WiFi and GPRS to connect gateways to cloud.
- Cloud architecture models from various sources.
- Data acquisition from devices using open-source Ponte software.
- Data storage
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
artificial intelligence and data science contents.pptxGauravCar
What is artificial intelligence? Artificial intelligence is the ability of a computer or computer-controlled robot to perform tasks that are commonly associated with the intellectual processes characteristic of humans, such as the ability to reason.
› ...
Artificial intelligence (AI) | Definitio
Software Engineering and Project Management - Introduction, Modeling Concepts...Prakhyath Rai
Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
as Design technique: Modeling, abstraction, The Three models. Class Modeling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data modeling Concepts, Object Oriented Analysis, Scenario-Based Modeling, Flow-Oriented Modeling, class Based Modeling, Creating a Behavioral Model.
An improved modulation technique suitable for a three level flying capacitor ...IJECEIAES
This research paper introduces an innovative modulation technique for controlling a 3-level flying capacitor multilevel inverter (FCMLI), aiming to streamline the modulation process in contrast to conventional methods. The proposed
simplified modulation technique paves the way for more straightforward and
efficient control of multilevel inverters, enabling their widespread adoption and
integration into modern power electronic systems. Through the amalgamation of
sinusoidal pulse width modulation (SPWM) with a high-frequency square wave
pulse, this controlling technique attains energy equilibrium across the coupling
capacitor. The modulation scheme incorporates a simplified switching pattern
and a decreased count of voltage references, thereby simplifying the control
algorithm.
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...shadow0702a
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Iot cloud-or-onprem-170709204236
1. BASEL BERN BRUGG DÜSSELDORF FRANKFURT A.M. FREIBURG I.BR. GENF
HAMBURG KOPENHAGEN LAUSANNE MÜNCHEN STUTTGART WIEN ZÜRICH
Internet of Things (IoT)
in the cloud or rather on-premises?
Guido Schmutz – 5.7.2017
@gschmutz guidoschmutz.wordpress.com
2. Guido Schmutz
Working at Trivadis for more than 20 years
Oracle ACE Director for Fusion Middleware and SOA
Consultant, Trainer Software Architect for Java, Oracle, SOA and
Big Data / Fast Data
Head of Trivadis Architecture Board
Technology Manager @ Trivadis
More than 30 years of software development experience
Contact: guido.schmutz@trivadis.com
Blog: http://guidoschmutz.wordpress.com
Slideshare: http://www.slideshare.net/gschmutz
Twitter: gschmutz
2
4. Internet of Things (IoT) Wave
Internet of Things (IoT): Enabling
communication between devices, people
& processes to exchange useful information
& knowledge that create value for humans
Term first proposed by Kevin Ashton in 1999
Source: The Economist Source: Ericsson, June 2016
13. Traditional IT Cloud Computing Model
13
Standard model
Endpoint like computer,
notebooks, tablets … connect to
a core network
communication between
endpoints
data center or cloud backend
where an application is running
3 layered connectivity
architecture
3) Edge Computing
Source: cisco
14. IT Model, with IoT Requirements
14
• Additional Fog Layer
between Devices and
Core Network
• supports for
filter/aggregation in
edge/fog layer
• supports lower latency
action / reaction =>
direct feedback loop
3) Edge Computing
Source: cisco
15. Edge vs. Mist vs. Fog Computing
15
Edge Computing
• brings compute, storage and
networking resources directly to the
endpoints
• compute resources inside the device,
probably very constrained resources
• The edge feeds data into the Fog
layer
Mist Computing
• Direct communications between edge
devices
Fog Computing
• brings compute, storage and
networking as close to the endpoints
as possible
• away from the cloud, but does not
include the endpoints
3) Edge Computing
17. Server-Less
18
Run code “without” servers => only
specify functions
Pay only for the compute time you
consume => save money
Triggered by events or called from API’s
• store an object into an object/blob
storage system (S3)
• updates to a NoSQL database
(trigger)
• arrival of an IoT message (event)
Makes it easy to
• perform real-time processing
• build scalable back-end services
• glue and choreograph systems
Functions can be written in various
languages, such as
• Java / C#
• Python
• Node.js
Might have higher latency (due to
function being loaded at call-time)
3) Edge Computing 4) Data Accumulation 5) Data Abstraction
21. API / Service Integration
IoT Services
IoT Logical Reference Architecture
Low Power
IoT Device
Sensor
Actuator
IoT Gateway
UI
f()
Enterprise Apps
Process Mgmt
Rule Engine
IoTHub
Big Data / BI
Service
UIBL
Object
Analytics / ML
API
REST
HTTP
KAFKA
MQTT
AMQP
HTTPBLE
ZigBee
WIFI
Wired
22
UI Provisioning
Device Mgmt
State
Message Integration
Event HubAPI GW / Service Bus
Streaming Analytics
Rule Engine DB
DB
Containerized Apps
Micro
Service
REST
SOAP
HTTP
IP Capable
IoT Device
Sensor
Actuator
f()
DB
DB
Analytics
DB
Rule Engine
Analytics
API
Existing
IoT Device
Sensor
Actuator
MQTT
AMQP
HTTP
MQTT
AMQP
HTTP
22. API / Service Integration
IoT Services
IoT Logical Reference Architecture
Low Power
IoT Device
Sensor
Actuator
IoT Gateway
UI
f()
Enterprise Apps
Process Mgmt
Rule Engine
IoTHub
Big Data / BI
Service
UIBL
Object
Analytics / ML
API
REST
HTTP
KAFKA
MQTT
AMQP
HTTPBLE
ZigBee
WIFI
Wired
23
UI Provisioning
Device Mgmt
State
Message Integration
Event HubAPI GW / Service Bus
Streaming Analytics
Rule Engine DB
DB
Containerized Apps
Micro
Service
REST
SOAP
HTTP
IP Capable
IoT Device
Sensor
Actuator
f()
DB
DB
Analytics
DB
Rule Engine
Analytics
API
Existing
IoT Device
Sensor
Actuator
MQTT
AMQP
HTTP
MQTT
AMQP
HTTP
Physical Devices
& Controllers
Connectivity
Edge Computing Data Accumulation
Data Abstraction
Application
Collaboration &
Processes
24. API / Service Integration
IoT Services
Amazon IoT Platform
Low Power
IoT Device
Sensor
Actuator
IoT Gateway
UI
f()
Enterprise Apps
Process Mgmt
Rule Engine
IoTHub
Big Data / BI
Service
UIBL
Object
Analytics / ML
API
REST
HTTP
KAFKA
MQTT
AMQP
HTTPBLE
ZigBee
WIFI
Wired
33
UI Provisioning
Device Mgmt
State
Message Integration
Event HubAPI GW / Service Bus
Streaming Analytics
Rule Engine DB
DB
Containerized Apps
Micro
Service
REST
SOAP
HTTP
IP Capable
IoT Device
Sensor
Actuator
f()
DB
DB
Analytics
DB
Rule Engine
Analytics
API
Existing
IoT Device
Sensor
Actuator
MQTT
AMQP
HTTP
MQTT
AMQP
HTTP
Rules Engine
Lambda
S3
Greengrass
S3 Dynamo
DB
Dynamo DB
Message Broker
Thing
Shadow
Thing
Registry
AWS IoT Platform EWR
Kinesis FirehoseSQS
EC2 Container Service
EC2 Container Registry
SnowmobileSnowball Edge
Snowball
Polly
ML
Lex
Recognition
Elasticsearch
Kinesis Analytics
Kinesis Streams
SNSEmail
PinpointAPI Gateway
Mobile Hub
Mobile SDK
Cognito
Lambda
Lambda
EC2
Auto Scaling
Rules Engine
Lambda
25. API / Service Integration
IoT Services
Microsoft Azure Cloud
Low Power
IoT Device
Sensor
Actuator
IoT Gateway
UI
f()
Enterprise Apps
Process Mgmt
Rule Engine
IoTHub
Big Data / BI
Service
UIBL
Object
Analytics / ML
API
REST
HTTP
KAFKA
MQTT
AMQP
HTTPBLE
ZigBee
WIFI
Wired
38
UI Provisioning
Device Mgmt
State
Message Integration
Event HubAPI GW / Service Bus
Streaming Analytics
Rule Engine DB
DB
Containerized Apps
Micro
Service
REST
SOAP
HTTP
IP Capable
IoT Device
Sensor
Actuator
f()
DB
DB
Analytics
DB
Rule Engine
Analytics
API
Existing
IoT Device
Sensor
Actuator
MQTT
AMQP
HTTP
MQTT
AMQP
HTTP
IoT Edge
Stream
Analytics
Document DB
IoT Gateway
IoTHub
Event Hub
Functions
Service Bus
HD Insight
Storage
Storage
Machine Learning
Document
DB
DataLake
BizTalk Services
Notification Hub
Power BI
Stream
Analytics
API Management
IoT Suite
26. API / Service Integration
IoT Services
Oracle Cloud
Low Power
IoT Device
Sensor
Actuator
IoT Gateway
UI
f()
Enterprise Apps
Process Mgmt
Rule Engine
IoTHub
Big Data / BI
Service
UIBL
Object
Analytics / ML
API
REST
HTTP
KAFKA
MQTT
AMQP
HTTPBLE
ZigBee
WIFI
Wired
44
UI Provisioning
Device Mgmt
State
Message Integration
Event HubAPI GW / Service Bus
Streaming Analytics
Rule Engine DB
DB
Containerized Apps
Micro
Service
REST
SOAP
HTTP
IP Capable
IoT Device
Sensor
Actuator
f()
DB
DB
Analytics
DB
Rule Engine
Analytics
API
Existing
IoT Device
Sensor
Actuator
MQTT
AMQP
HTTP
MQTT
AMQP
HTTP
Event Hub CS
IoT CS
Stream
Analytics
Big Data CS
Stream
Analytics NoSQL CS
Big Data
Discovery CS
Big Data
Preparation CS
Edge
Analytics
IoT CS
Gateway
SOA CS
Process CS
Integration CSMessaging CS
Mobile CS
Container CS
Application
Container CS
BI CS
Dataflow ML
NoSQL
Device Mgmt
Service CS
Field Service CS
27. Oracle Cloud Demo @ Schwabengipfel
45
IOT CS
Mobile CS
SOA CS
Integration CSBICS
Process CS
DOCS
Service Cloud
OPA CS
Field Service Cloud
31. API / Service Integration
IoT Services
IoT on-premises – Oracle Cloud Machine
Low Power
IoT Device
Sensor
Actuator
IoT Gateway
UI
f()
Enterprise Apps
Process Mgmt
Rule Engine
IoTHub
Big Data / BI
Service
UIBL
Object
Analytics / ML
API
REST
HTTP
KAFKA
MQTT
AMQP
HTTPBLE
ZigBee
WIFI
Wired
50
UI Provisioning
Device Mgmt
State
Message Integration
Event HubAPI GW / Service Bus
Streaming Analytics
Rule Engine DB
DB
Containerized Apps
Micro
Service
REST
SOAP
HTTP
IP Capable
IoT Device
Sensor
Actuator
f()
DB
DB
Analytics
DB
Rule Engine
Analytics
API
Existing
IoT Device
Sensor
Actuator
MQTT
AMQP
HTTP
MQTT
AMQP
HTTP
Event Hub CS
IoT CS
Stream
Analytics
Big Data CS
Stream
Analytics NoSQL CS
Big Data
Discovery CS
Big Data
Preparation CS
Edge
Analytics
IoT CS
Gateway
SOA CS
Process CS
Integration CSMessaging CS
Mobile CS
Container CS
Application
Container CS
BI CS
Dataflow ML
NoSQL
Device Mgmt
Service CS
Field Service CS
32. API / Service Integration
IoT Services
IoT on-premises – Open Source
Low Power
IoT Device
Sensor
Actuator
IoT Gateway
UI
f()
Enterprise Apps
Process Mgmt
Rule Engine
IoTHub
Big Data / BI
Service
UIBL
Object
Analytics / ML
API
REST
HTTP
KAFKA
MQTT
AMQP
HTTPBLE
ZigBee
WIFI
Wired
51
UI Provisioning
Device Mgmt
State
Message Integration
Event HubAPI GW / Service Bus
Streaming Analytics
Rule Engine DB
DB
Containerized Apps
Micro
Service
REST
SOAP
HTTP
IP Capable
IoT Device
Sensor
Actuator
f()
DB
DB
Analytics
DB
Rule Engine
Analytics
API
Existing
IoT Device
Sensor
Actuator
MQTT
AMQP
HTTP
MQTT
AMQP
HTTP
34. API / Service Integration
IoT Services
Hybrid IoT Solutions
Low Power
IoT Device
Sensor
Actuator
IoT Gateway
UI
f()
Enterprise Apps
Process Mgmt
Rule Engine
IoTHub
Big Data / BI
Service
UIBL
Object
Analytics / ML
API
REST
HTTP
KAFKA
MQTT
AMQP
HTTPBLE
ZigBee
WIFI
Wired
UI Provisioning
Device Mgmt
State
Message Integration
Event HubAPI GW / Service Bus
Streaming Analytics
Rule Engine DB
DB
Containerized Apps
Micro
Service
REST
SOAP
HTTP
IP Capable
IoT Device
Sensor
Actuator
f()
DB
DB
Analytics
DB
Rule Engine
Analytics
API
Existing
IoT Device
Sensor
Actuator
MQTT
AMQP
HTTP
MQTT
AMQP
HTTP
Cloud On-PremisesFogEdge
35. API / Service Integration
IoT Services
Hybrid IoT Solutions
Low Power
IoT Device
Sensor
Actuator
IoT Gateway
UI
f()
Enterprise Apps
Process Mgmt
Rule Engine
IoTHub
Big Data / BI
Service
UIBL
Object
Analytics / ML
API
REST
HTTP
KAFKA
MQTT
AMQP
HTTPBLE
ZigBee
WIFI
Wired
UI Provisioning
Device Mgmt
State
Message Integration
Event HubAPI GW / Service Bus
Streaming Analytics
Rule Engine DB
DB
Containerized Apps
Micro
Service
REST
SOAP
HTTP
IP Capable
IoT Device
Sensor
Actuator
f()
DB
DB
Analytics
DB
Rule Engine
Analytics
API
Existing
IoT Device
Sensor
Actuator
MQTT
AMQP
HTTP
MQTT
AMQP
HTTP
Cloud On-PremisesFogEdge