Towards an industrial Web of Things

•

2 likes•2,390 views

The document discusses the differences between consumer/hobbyist Web of Things (WoT) and industrial WoT. Industrial WoT focuses on robustness, efficiency, collaboration, high quality, and automation rather than being lightweight and human-actionable. It also has higher non-functional requirements around security, reliability and scalability. The document advocates applying modern software engineering practices like continuous delivery, DevOps, automation, containers and on-demand testing to the industrial WoT to enable innovative yet high-quality connected physical systems.

Software

industrial.WoT
Olivier Liechti, University of Applied Sciences of Western Switzerland

industrial.WoT
IoT
WoT
IIoT
M2M cyber-physical
sensorsactuators big data
semanticswireless
mesh
low power
scalability
security
APIs
network -ilities
Do we really need another buzzword?

Ubicomp
Software engineering
Applied R&D

Facets of the Web
1995
Documents
2000 2005 2010 2015
Enterprise apps
Social apps
REST APIs
Web of Things
Mobile apps
App Gateways

Web Engineering
1995 2000 2005 2010 2015
systemic qualities
continuous delivery
continous integration
XPUnified Process Scrum
enterprise architecture patterns
Lean
agile testing
unit testing
mobile testing
load testing
micro-services
devopson-demand testing

Is it about...
1 application domains?
2 development stage (beyond prototyping)?
3 non-functional requirements?
4 development methodologies, processes and tools?
industrial.WoT

(Consumer) WoT Industrial WoT?vs
Application domains?

(Fun) WoT (Boring) Industrial WoT?vs
Application domains?

Prototype
P
Open Lightweight Free Human-actionable Interactive

Industrialize
I
Robust EfficientCollaborative High quality Automated

Dom Guinard 2014: http://www.slideshare.net/EVRYTHNG/web-of-things-platforms-tutorial
IoT WoT?vs

The 8 Fallacies of Distributed Computing
1 The network is reliable
2
3
Latency is zero
Bandwidth is infinite
4 The network is secure
5 Topology doesn't change
6 There is one administrator
7 Transport cost is zero
8 The network is homogeneous

(Maker) WoT Industrial WoT?vs
Methodologies, processes, tools?

The application of modern software
engineering practices to the physical web,
with the goal to build innovative services
iteratively, swiftly and efficiently, on top of
high-quality systems.
industrial.WoT

Towards Continuous Delivery
for the WoT
Physical Infrastructure as Code
On-demand physical testing environments
industrial.WoT

The Web has managed to remain an accessible
prototyping platform, while evolving to become a
robust platform for demanding applications.
industrial.WoT
It fosters creativity and enables quality.
The same will apply for the Web of Things, with new
challenges to address.

What's hot

FIWARE Global Summit - Empowering and Enhancing IoT Agent for Device Manageme...

FIWARE

OSGi Community Event 2016 Presentation by Levent Gurgen (CEA) Internet of Things (IoT) is the digital skin of the physical world. It has specific requirements such as dynamicity to self-adapt to the continuously changing physical context. The world is heterogeneous and the objects should interoperate to collaborate, thus interoperability is essential. Openness and short learning curve are other requirements so that innovators (e.g. startups) can rapidly build applications with reduced time-to-market and avoid vendor lock-in. Reuse of software and hardware is also particularly important since billion of devices are expected to be deployed in the coming decades and those devices should be multi-purpose and reusable by applications from different domains and not be specific to a given domain. OSGi has – since 15 years ago – the answers to those requirements of today’s IoT. Its powerful run-time environment for the dynamicity, its service-oriented approach hiding heterogeneity, its modularity making the reuse extremely simple, and last but not least, its open approach giving the potential to democratize the IoT. The talk will illustrate the benefits of OSGi for IoT with concrete deployed examples, in particular in smart city domain in Europe and Japan via the collaborative projects such as ClouT and FESTIVAL.

OSGi for European and Japanese smart cities - experiences and lessons learnt ...

mfrancis

Thingstitute MoCo Projects Overview

Internet of Things DC

IoT from Hype to Reality - Connected Brains 2018

LoQutus

The Internet of Things is not only changing the way that we live, but the way that companies do business. Microsoft is spending billions of dollars on their IoT infrastructure to help support companies with the next generation of the Internet. A generation that involves not only laptops, desktops and smartphones connected on the Internet, but remote assets such as equipment, appliances and products. Learn about the MXChip Kit from Microsoft and how it plugs into the Azure IoT infrastructure so as product, designers we can further understand what's possible when we start connecting our industrial equipment and products.

NDC Minnesota 2019 - Fundamentals of Azure IoT

Justin Grammens

IIoT Endpoint Security

Industrial Internet Consortium

IoT is the buzzword today. Wherever you go, people talk about it and there is more hype than reality. In this situation as fresh engineers it is important for you to understand IoT by taking an "inside-out" approach. It means to build understanding about various building blocks of IoT (Sensor | Device | Cloud | App) and technologies associated with it. This talk also focus on these key aspects and also derive key skills that engineers require to build a career in IoT. It will even map with our current ECEP course and make a connect with IoT.

Introduction to IoT

Emertxe Information Technologies Pvt Ltd

The IoT device requires a tiny controller performing a specific functionality. The Arduino platform makes it ideal to build the same. Delivered using ESP32 NodeMCU, this module will give you hands-on programming experience on how to set up, program and debug Embedded applications running in Arduino platform. You will get practical experience in reading data-sheets, hardware interfacing and communication protocols. With these learnings, you will be able to build an IoT device running an Embedded Application. This should communicate with IoT gateway using short range protocols like Bluetooth.

Introduction to IoT

Emertxe Information Technologies Pvt Ltd

Talk 18.06.06 OPENEXPO Paradigma Industria 4.0

Bernardo Ronquillo Japón

Introduction to the AGILE project: open source modular gateway for the IoT (C...

AGILE IoT

Microsoft's view of the Internet of Things (IoT) by Imran Shafqat

Allied Consultants

How to Lead in IIoT

Industrial Internet Consortium

Machine Learning and Internet of Things

Sofian Hadiwijaya

Using Eclipse technologies to develop the BRAIN-IoT model-based framework for...

Brain IoT Project

Internet of things

Chinnayya Math

Adoptive Gateways for dIverse MuLtiple Environments

Charalampos Doukas

IoT is an interconnectivity paradigm that aspires to connect everything in order to give a seamless user experience. Starting with end consumer, there are plenty of use cases for IoT solutions. Before building an end-to-end IoT solution, it is important for you to build an architectural understanding. This introductory module on IoT is aimed to provide you the necessary foundations like architecture to get you started. Added to that, this module also covers IoT workflow setup in some popular cloud platforms like AWS and non-functional considerations like performance and security.

Introduction to IoT Architecture

Emertxe Information Technologies Pvt Ltd

Aufgrund marktlicher und regulatorischer Veränderungen stehen Industrien zunehmend vor der Herausforderung Wertschöpfungsketten vom Ressourcenabbau bis zur Produktentsorgung zu gestalten. Darauf basierend fordert das auch von der europäischen Union vorangetriebene Konzept der „Circular Economy“ Produkte nicht nur zu recyceln, sondern eine verbesserte Ausbeute der Produkte (oder Komponenten) durch Services wie Sharing, Reuse, Repair und Remanufacturing zu erreichen. Hierfür birgt die zunehmende Digitalisierung von Produkten und Prozessen und deren Vernetzung im Internet of Things (IoT) neue Innovationschancen. So kann die Qualität von Smart Products durch Fernüberwachung, -wartung und -identifikation erhöht werden. Als Bestandteil von servicebasierten Geschäftsmodellen, können Kunden per Smartphone Zugang zu einer flexiblen Produktnutzung erhalten. Ortung, Identifikation und digitales Gedächtnis kann die Produktrückführung vereinfachen. Organisatorische und sicherheitsbezogene Herausforderungen sind in der Transformation zum „smarten Dienstleister“ zu meistern.

Internet of Things (IoT) as a Driver for the Circular Economy – Innovation, Q...

Erik G. Hansen

Altitude NY 2018: What's next in edge computing?

Fastly

What's hot (19)

FIWARE Global Summit - Empowering and Enhancing IoT Agent for Device Manageme...

OSGi for European and Japanese smart cities - experiences and lessons learnt ...

Thingstitute MoCo Projects Overview

IoT from Hype to Reality - Connected Brains 2018

NDC Minnesota 2019 - Fundamentals of Azure IoT

IIoT Endpoint Security

Introduction to IoT

Talk 18.06.06 OPENEXPO Paradigma Industria 4.0

Introduction to the AGILE project: open source modular gateway for the IoT (C...

Microsoft's view of the Internet of Things (IoT) by Imran Shafqat

How to Lead in IIoT

Machine Learning and Internet of Things

Using Eclipse technologies to develop the BRAIN-IoT model-based framework for...

Internet of things

Adoptive Gateways for dIverse MuLtiple Environments

Introduction to IoT Architecture

Internet of Things (IoT) as a Driver for the Circular Economy – Innovation, Q...

Altitude NY 2018: What's next in edge computing?

Viewers also liked

Enabling reactive cities with the iFLUX middleware

Olivier Liechti

Towards constrained semantic web

☕ Remy Rojas

Always-On Web of Things Infrastructure Dynamic Software Updating

TECO Research Group

To cope with dynamic environments, Internet of Things (IoT) applications are expected to autonomously discover and interact with services at runtime in pursuit of design or user-specified goals. On the one hand, various paradigms and technologies are available to program goal-driven autonomous software agents, and on the other hand hypermedia-driven environments are central to the development of robust machine-to-machine applications. However, existing approaches for the development of hypermedia-driven environments fall short of meeting the needs of autonomous agents: they either severely restrict the agents’ autonomy, or their topological structure is either fragmented or inefficient to navigate at scale. In this paper, we explore the use of socio-technical networks, that is networks of people and things interrelated in a meaningful manner via typed relations, as an overlay for enhancing hypermedia-driven interaction in IoT environments. We present a proof of concept and discuss several classes of applications in which this model could prove useful.

Hypermedia-driven Socio-technical Networks for Goal-driven Discovery in the W...

Andrei Ciortea

Distributed Data Flow for the Web of Things: Distributed Node-RED

Michael Blackstock

5 Years of Web of Things Workshops

Dominique Guinard

A Semantic Web of Things (SWoT) brings together the Semantic Web and the Web of Things (WoT), associating semantically annotated information to web-enabled physical devices, services and their data, towards seamless data integration and better understanding of real-world information. A missing element in order to realize SWoT is a standardized, scalable and flexible way to globally discover in (near) real time web-connected embedded devices, as well as their semantic data. To address this gap, we propose WOT Semantic Search Engine (WOTS2E), which is a search engine for the SWoT, based on web crawling, being able to discover Linked Data endpoints and, through them, WoT-enabled devices and their services. In this presentation, we describe the design, development and implementation of WOTS2E, as well as an evaluation procedure showing its operation and performance across the web.

WOTS2E: A Search Engine for a Semantic Web of Things

Andreas Kamilaris

The Internet of Things (IoT) combines Wireless Sensor and Actuation Networks (WSANs), Pervasive computing, and the elements of the \\traditional" Internet such as Web and database servers. This leads to the dual challenges of scale and heterogeneity in these systems, which comprise a large number of devices of dierent characteristics. In view of the above, developing IoT applications is challenging because it involves dealing with a wide range of related issues, such as lack of separation of concerns, need for domain experts to write low level code, and lack of specialized domain specic languages (DSLs). Existing software engineering approaches only cover a limited subset of the above-mentioned challenges. In this work, we propose an application development process for the IoT that aims to comprehensively address the above challenges. We rst present the semantic model of the IoT, based on which we identify the roles of the various stakeholders in the development process, viz., domain expert, software designer, application developer, device developer, and network manager, along with their skills and responsibilities. To aid them in their tasks, we propose a model-driven development approach which uses customized languages for each stage of the development process: Srijan Vocabulary Language (SVL) for specifying the domain vocabulary, Srijan Architecture Language (SAL) for specifying the architecture of the application, and Srijan Network Language (SNL) for expressing the properties of the network on which the application will execute; each customized to the skill level and area of expertise of the relevant stakeholder. For the application developer specifying the internal details of each software component, we propose the use of a customized generated framework using a language such as Java. Our DSL-based approach is supported by code generation and task-mapping techniques in an application development tool developed by us. Our initial evaluation based on two realistic scenarios shows that the use of our techniques/framework succeeds in improving productivity while developing IoT applications.

Enabling High Level Application Development In The Internet Of Things

Pankesh Patel

While almost any device today may have a virtual representation, the web itself is not yet a very physical experience. Bringing proven spatial interaction and ubiquitous computing paradigms to life using current web technology, we designed IndianaJS, a JavaScript framework to add a physical browsing experience to any Web of Things content. The evaluation of the IoT-Radar, built on top of our library, shows that web-based hyper-reality can still achieve a unique user experience 15 years after the first implementations. This presentation introduces the library, showcases our physical browser - the IoT Compass, and presents the results of our usability study. It was presented the Web of Things Workshop within the International Conference on the Internet of Things 2015 in Seoul, South Korea. Web presence: https://indianajs.github.io Visit our research in general on: http://www.teco.edu

IndianaJS - Building spatially aware web sites for the Web of Things

TECO Research Group

Presentation evrythng

Andreas Ruppen

Service Integration in the Web of Things

Simon Mayer

Thesis Defence: A Model Driven Architecture for the Web of Things

Andreas Ruppen

IoT and Maker Crossover (IMCO) Conference 2015

Jollen Chen

The Internet of Things took its first steps at the Auto ID Center. Since then, it has evolved to integrate smart devices (sensors and actuators) in pervasive systems able to sense the environment or to act on it. Finally, the adoption of HTTP as a fully-fledged application protocol for the Internet of Things led to the Web of Things. Yet, this is not sufficient to guarantee interoperable, reusable and deployable smart devices and avoid a “things crisis”. Therefore, we investigated how the situation can be enhanced by adopting a Model Driven Architecture for the Web of Things. Its core elements are a meta-model and specialized tools turning instances of the meta-model into executable code (skeletons). With the help of this meta-model we were able to build models to simultaneously take care of the physical and virtual aspects of smart devices as well as of an architecture for events. Compiled into code, these models become components. Since the emphasis is the reusability, the model compilers take special care to divide the Entity of Interest into smaller, reusable parts, forming the building blocks of the Web of Things. Furthermore, the combination of the meta-model and its associated tools provide a methodology guiding the developer throughout the process.

A Model-Driven, Component Generation Approach for the Web of Things

Andreas Ruppen

Maker of Things - the open IoT cloud for makers chapter.

Jollen Chen

WoT 2016 - Seventh International Workshop on the Web of Things

Simon Mayer

Open IoT Cloud Architecture, Web of Things, Shenzhen, China.

Jollen Chen

Viewers also liked (17)

Enabling reactive cities with the iFLUX middleware

Towards constrained semantic web

Always-On Web of Things Infrastructure Dynamic Software Updating

Hypermedia-driven Socio-technical Networks for Goal-driven Discovery in the W...

Distributed Data Flow for the Web of Things: Distributed Node-RED

5 Years of Web of Things Workshops

WOTS2E: A Search Engine for a Semantic Web of Things

Enabling High Level Application Development In The Internet Of Things

IndianaJS - Building spatially aware web sites for the Web of Things

Presentation evrythng

Service Integration in the Web of Things

Thesis Defence: A Model Driven Architecture for the Web of Things

IoT and Maker Crossover (IMCO) Conference 2015

A Model-Driven, Component Generation Approach for the Web of Things

Maker of Things - the open IoT cloud for makers chapter.

WoT 2016 - Seventh International Workshop on the Web of Things

Open IoT Cloud Architecture, Web of Things, Shenzhen, China.

Similar to Towards an industrial Web of Things

IoT Quality Challenges - Testing & Engineering

Qualitest

L’Internet delle cose (IoT) è la manifestazione che la materia prima di questa nuova era sono i dati. I dati sono la nuova fonte d’innovazione e possono dare un nuovo slancio di competitività e sostenibilità alle imprese. Estraendo ed elaborando i dati da infrastrutture, macchinari, processi e prodotti, le aziende potranno diventare molto più efficienti e aumentare la soddisfazione dei clienti, perché saranno messe nelle condizioni di poter ridisegnare le catene di valore, i processi e i modelli di business. Per poter cogliere a pieno i vantaggi della trasformazione digitale che l’IoT produce, le organizzazioni avranno bisogno di raccogliere i dati provenienti dal mondo operativo (mondo OT) in cui i dati vengono generati e connetterli al mondo IT, ovvero la da dove i dati verranno usati. Per far sì che i tempi ed i costi di un’implementazioni IoT siano contenuti, l’architettura del sistema va, rispetto al passato, drasticamente semplificata e l'integrazione OT-IT va realizzata attraverso componenti software e standard industriali che garantiscano la scalabilità e l’interoperabilità. Durante la presentazione verrà illustrata l’architettura di riferimento alla base di tutte le applicazioni IoT ed alcuni casi implementativi reali.

L’IoT industriale e i vantaggi competitivi della trasformazione digitale

Eurotech

RA TechED 2019 - IN02 - Empower Your Connected Enterprise with FactoryTalk In...

Rockwell Automation

Little.story.it.architecture

Éric Grall

Today’s Internet of Things (IoT) is enabling companies to blend together the physical and digital worlds, creating new business models and generating insights that increase productivity at once unimaginable levels. However, managing the ever growing volume of heterogeneous IoT data from disparate devices, systems and applications both on premise and in the cloud can be a challenging endeavour without a scalable and reliable IoT platform. In this webinar, we will explore why and how companies are leveraging HiveMQ and MongoDB to build exactly that: a scalable and reliable IoT platform. Based upon a sample fleet management scenario, we will explain how telematics data can be routed via MQTT and efficiently stored to provide analytics and insights into the data. Key Learnings - Common challenges and pitfalls of IoT projects - Required components for effectively handling data with an IoT platform - HiveMQ for MQTT to enable bi-directional device communication over unstable networks - MongoDB as the flexible and scalable modern data platform combining data from different sources and powering your applications - Why MongoDB and HiveMQ is such a great combination

Building a reliable and scalable IoT platform with MongoDB and HiveMQ

Dominik Obermaier

New Opportunities for Industry Growth (NXP)

COMPUTEX TAIPEI

IoT Business Perspectives

Eurotech

THE INTERNET OF THINGS AND HOW TO CONNECT IT This presentation, delivered to the Denver Google Developer's Group on April 28 by Laurie Lamberth, has three parts. A. IoT Overview. What it is, how it's connected, how big is the market, how fast is it growing B. Not Your Father's Network. Overview of the new generation of machine-ceentric networks coming to market, why they are needed, what they look like and how they perform. Plus profiles of three new IOT networks (SIGFOX, LoRa, Weightless-N) C. Not Your Father's Platform. Overview of the new generation of platforms cfour oming to market that blur the previous "bright line" between device and application management platforms. Plus profiles of three new IOT platforms (machineshop.io, Xively, Kii, ThingWorx)

Self-Driving Cars, Smart Watches and Heads-Up Displays... Oh My!

Laurie Lamberth

PIF2019 - A06 - Rodrigo M Tutilo - Advantech

Evandro Gama (Prof. Dr.)

Blog for iot equipment & machinery final

AdityaAdapaa

Connecting the dots - introducing IoT Innovation Centre in Taiwan

Ling Yi Chang

Business Transformation through Data with an Open IoT Architecture

Roberto Siagri

Software panel

MassTLC

Meetup 19/01/2017 - Meet LoRa, a gamechanger in Antwerp?

Digipolis Antwerpen

Session 2023-11.pptx

AndreeaTom

智慧市政大未來主題一

Mavis CHU

Globant FlipThinking April 2014 - Internet of Things / Wearable / Mobile Trends

Pablo Vittori

Solving Enteprise Mobility Considerations with Telerik Mobile Platform

Lohith Goudagere Nagaraj

The IoT is the manifestation that the raw material of the information age is datum. Data are the new source of innovation and the lever to achieve business sustainability. By extracting data from assets and products, companies can become more efficient through a strategic rethinking of their value chains and business processes. In so doing, companies will add the required readiness to shift from products to services, and eventually enter in the outcome economy. To truly embrace the digital transformation, organizations need to collect actionable data from their assets, processes, and products and then connect the OT (Operational Technology) world where data are generated to IT (Information Technology) world where data are consumed. Beside predictive maintenance and asset usage maximization/optimization the benefits are huge: the transformation of any business into a smart business, increasing competitiveness also in mature markets; the creation of new innovative products and services; and the enablement of service prosumerization. To make this happen there are some key technology factors to consider during the implementation of an IoT architecture.

Reshaping Business Through IoT: Key Technology Factors to Consider

Eurotech

meet2016: Reshaping Business Through IoT: Key Technology Factors to Consider

Roberto Siagri

Similar to Towards an industrial Web of Things (20)

IoT Quality Challenges - Testing & Engineering

L’IoT industriale e i vantaggi competitivi della trasformazione digitale

RA TechED 2019 - IN02 - Empower Your Connected Enterprise with FactoryTalk In...

Little.story.it.architecture

Building a reliable and scalable IoT platform with MongoDB and HiveMQ

New Opportunities for Industry Growth (NXP)

IoT Business Perspectives

Self-Driving Cars, Smart Watches and Heads-Up Displays... Oh My!

PIF2019 - A06 - Rodrigo M Tutilo - Advantech

Blog for iot equipment & machinery final

Connecting the dots - introducing IoT Innovation Centre in Taiwan

Business Transformation through Data with an Open IoT Architecture

Software panel

Meetup 19/01/2017 - Meet LoRa, a gamechanger in Antwerp?

Session 2023-11.pptx

智慧市政大未來主題一

Globant FlipThinking April 2014 - Internet of Things / Wearable / Mobile Trends

Solving Enteprise Mobility Considerations with Telerik Mobile Platform

Reshaping Business Through IoT: Key Technology Factors to Consider

meet2016: Reshaping Business Through IoT: Key Technology Factors to Consider

Recently uploaded

Discover the numerous advantages of utilizing employee monitoring software in your organization with our comprehensive PDF guide. Learn how this technology can enhance productivity, streamline operations, and improve overall efficiency in the workplace. Explore the benefits of employee monitoring software and unlock its potential to drive success for your business. Download our PDF to gain valuable insights into maximizing the benefits of this powerful tool.

Benefits of Employee Monitoring Software

Mera Monitor

Breaking the Code : A Guide to WhatsApp Business API.pdf

Meon Technology

Into the Box 2024 - Keynote Day 2 Slides.pdf

Ortus Solutions, Corp

Agnieszka Andrzejewska - BIM School Course in Kraków

bim.edu.pl

How to install and activate eGrabber JobGrabber

eGrabber

Top Mobile App Development Companies 2024

XongoLab Technologies LLP

A Comprehensive Appium Guide for Hybrid App Automation Testing.pdf

kalichargn70th171

Using IESVE for Room Loads Analysis - Australia & New Zealand

IES VE

Crafting the Perfect Measurement Sheet with PLM Integration

Wave PLM

Secure Software Ecosystem Teqnation 2024

Soroosh Khodami

GraphSummit Stockholm - Neo4j - Knowledge Graphs and Product Updates

Neo4j

How Does XfilesPro Ensure Security While Sharing Documents in Salesforce?

XfilesPro

Facemoji Keyboard released its 2023 State of Emoji report, outlining the most...

rajkumar669520

WSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital Transformation

WSO2

AI/ML Infra Meetup May. 23, 2024 Organized by Alluxio For more Alluxio Events: https://www.alluxio.io/events/ Speaker: - Lu Qiu (Data & AI Platform Tech Lead, @Alluxio) - Siyuan Sheng (Senior Software Engineer, @Alluxio) Speed and efficiency are two requirements for the underlying infrastructure for machine learning model development. Data access can bottleneck end-to-end machine learning pipelines as training data volume grows and when large model files are more commonly used for serving. For instance, data loading can constitute nearly 80% of the total model training time, resulting in less than 30% GPU utilization. Also, loading large model files for deployment to production can be slow because of slow network or storage read operations. These challenges are prevalent when using popular frameworks like PyTorch, Ray, or HuggingFace, paired with cloud object storage solutions like S3 or GCS, or downloading models from the HuggingFace model hub. In this presentation, Lu and Siyuan will offer comprehensive insights into improving speed and GPU utilization for model training and serving. You will learn: - The data loading challenges hindering GPU utilization - The reference architecture for running PyTorch and Ray jobs while reading data from S3, with benchmark results of training ResNet50 and BERT - Real-world examples of boosting model performance and GPU utilization through optimized data access

AI/ML Infra Meetup | Improve Speed and GPU Utilization for Model Training & S...

Alluxio, Inc.

Even though at surface level ‘java.lang.OutOfMemoryError’ appears as one single error; underlyingly there are 9 types of OutOfMemoryError. Each type of OutOfMemoryError has different causes, diagnosis approaches and solutions. This session equips you with the knowledge, tools, and techniques needed to troubleshoot and conquer OutOfMemoryError in all its forms, ensuring smoother, more efficient Java applications.

TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERROR

Tier1 app

Abortion ^Clinic ^%[+971588192166''] Abortion Pill Al Ain (?@?) Abortion Pill...

Abortion Clinic

Implementing KPIs and Right Metrics for Agile Delivery Teams.pdf

Victor Lopez

Advanced Flow Concepts Every Developer Should Know

Peter Caitens

Skilrock is an igaming technology platform & lottery software provider to the Global Lottery & Gaming Industry with a strong presence across continents. As part of the $2.4 billion SUGAL & DAMANI GROUP, Skilrock leverages the group's extensive domain experience to offer the INFINITI gaming platform - a true Omni-Channel, Omni-Gaming Platform that can serve any lottery or gaming operator anywhere in the world. INFINITI serves Retail, iGaming & Self Service Channels with equal ease and at the same time supports a wide variety of games like Lotto, Keno, Bingo, Instant, Sports, Poker, Rummy, Casino and Slots. Our popular solutions are Scratch Lottery, Retail Lottery, Instant Lottery and other igaming and lottery solutions.

iGaming Platform & Lottery Solutions by Skilrock

Skilrock Technologies

Recently uploaded (20)

Benefits of Employee Monitoring Software

Breaking the Code : A Guide to WhatsApp Business API.pdf

Into the Box 2024 - Keynote Day 2 Slides.pdf

Agnieszka Andrzejewska - BIM School Course in Kraków

How to install and activate eGrabber JobGrabber

Top Mobile App Development Companies 2024

A Comprehensive Appium Guide for Hybrid App Automation Testing.pdf

Using IESVE for Room Loads Analysis - Australia & New Zealand

Crafting the Perfect Measurement Sheet with PLM Integration

Secure Software Ecosystem Teqnation 2024

GraphSummit Stockholm - Neo4j - Knowledge Graphs and Product Updates

How Does XfilesPro Ensure Security While Sharing Documents in Salesforce?

Facemoji Keyboard released its 2023 State of Emoji report, outlining the most...

WSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital Transformation

AI/ML Infra Meetup | Improve Speed and GPU Utilization for Model Training & S...

TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERROR

Abortion ^Clinic ^%[+971588192166''] Abortion Pill Al Ain (?@?) Abortion Pill...

Implementing KPIs and Right Metrics for Agile Delivery Teams.pdf

Advanced Flow Concepts Every Developer Should Know

iGaming Platform & Lottery Solutions by Skilrock

Towards an industrial Web of Things

1. industrial.WoT Olivier Liechti, University of Applied Sciences of Western Switzerland

2. industrial.WoT IoT WoT IIoT M2M cyber-physical sensorsactuators big data semanticswireless mesh low power scalability security APIs network -ilities Do we really need another buzzword?

3. Background

4. Ubicomp Software engineering Applied R&D

5. Facets of the Web 1995 Documents 2000 2005 2010 2015 Enterprise apps Social apps REST APIs Web of Things Mobile apps App Gateways

6. Web Platforms 1995 2000 2005 2010 2015

7. Web Engineering 1995 2000 2005 2010 2015 systemic qualities continuous delivery continous integration XPUnified Process Scrum enterprise architecture patterns Lean agile testing unit testing mobile testing load testing micro-services devopson-demand testing

8. Is it about... 1 application domains? 2 development stage (beyond prototyping)? 3 non-functional requirements? 4 development methodologies, processes and tools? industrial.WoT

9. (Consumer) WoT Industrial WoT?vs Application domains?

10. (Fun) WoT (Boring) Industrial WoT?vs Application domains?

11. Development stage?

12.

13. Prototype P Open Lightweight Free Human-actionable Interactive

14. Industrialize I Robust EfficientCollaborative High quality Automated

15. Non-functional requirements?

16. IoT WoT?vs

17. Dom Guinard 2014: http://www.slideshare.net/EVRYTHNG/web-of-things-platforms-tutorial IoT WoT?vs

18. The 8 Fallacies of Distributed Computing 1 The network is reliable 2 3 Latency is zero Bandwidth is infinite 4 The network is secure 5 Topology doesn't change 6 There is one administrator 7 Transport cost is zero 8 The network is homogeneous

19. (Maker) WoT Industrial WoT?vs Methodologies, processes, tools?

20. Continous Delivery

21.

22.

23. DevOps & Automation

24. Containers

25. On-demand Device Testing

26. The application of modern software engineering practices to the physical web, with the goal to build innovative services iteratively, swiftly and efficiently, on top of high-quality systems. industrial.WoT

27. Towards Continuous Delivery for the WoT Physical Infrastructure as Code On-demand physical testing environments industrial.WoT

28. Containers for managing Things data

29. Containers embedded in Things

30.

31. On-demand urban test network

32.

33. On-demand mall test network

34.

35. Push Build Test

36. The Web has managed to remain an accessible prototyping platform, while evolving to become a robust platform for demanding applications. industrial.WoT It fosters creativity and enables quality. The same will apply for the Web of Things, with new challenges to address.

Towards an industrial Web of Things

Recommended

Recommended

More Related Content

What's hot

What's hot (19)

Viewers also liked

Viewers also liked (17)

Similar to Towards an industrial Web of Things

Similar to Towards an industrial Web of Things (20)

Recently uploaded

Recently uploaded (20)

Towards an industrial Web of Things