The document discusses model-driven architecture and executable UML for code generation. It describes how translation-based processes using platform-independent models (PIMs) can generate platform-specific implementations (PSIs) automatically using mappings, avoiding manual coding and reducing maintenance costs compared to elaboration-based processes. The code generator itself is implemented as a set of domain models that embody rules for mapping PIM elements to target languages.
Model Driven Architecture and eXecutable UMLelliando dias
The document discusses Model Driven Architecture (MDA) and how executable UML models can support MDA. Key points include:
- MDA uses three primary model viewpoints: computation independent, platform independent, and platform specific models.
- Executable UML models can be used to validate platform independent models by executing acceptance tests on them.
- Model transformations allow automated mappings between models and generation of platform specific models.
Presented at the 2012 FAA ATIE Conference in Silver Spring, US. Ian Painter of Snowflake presented on the model driven techniques that could be use to unify the data modelling of the Aeronautical Information eXchange Model (AIXM), the Weather eXchange Model (WXXM) and the newly developed Flight Information eXchange Model (FIXM)
How to leverage the Functional Mock-up Interface (FMI) for Model Based System...Siemens PLM Software
This presentation focusses on the use cases and motivations behind FMI and provide some tips on when to use Model Exchange or Co-Simulation. It illustrates how FMI helps covering all the phases of product design in a scalable way by connecting LMS Imagine.Lab Amesim™ models with models of various levels of detail such as 3D/MBS tools or advanced FEA or CFD codes. Parallelized heterogeneous co-simulation of Functional Mock-up Units (FMUs) is described from MiL, through SiL, towards HiL applications, for instance on recent FMI compliant multiprocessor real-time targets. The use of “surrogate FMUs” for controls validation, or for evaluating global product performance attributes such as Vehicle Fuel Economy is discussed. Then it is explained why FMI enables the management of complex product architectures and their associated scenarios at high level, and how this can be achieved thanks to Siemens PLM Software's LMS Imagine.Lab product family. Lastly, Siemens PLM Software provides its view and perspectives on promising evolutions of the FMI standard.
Modelon’s FMI Composer offers users the ability to build system models, save in an open ssp format, export files as FMU, and simulate in their tool of choice. By leveraging the power of open standards users can connect FMUs, therefore optimizing the use of models across organizations and industries.
Model-Based Integration for FMI Co-Simulation and Heterogeneous Simulations o...Modelon
This document discusses model-based integration of heterogeneous simulations for cyber-physical systems. It presents the Command and Control Wind Tunnel (C2WT) approach, which uses models of interactions and shared data to integrate different simulation tools. C2WT supports the Functional Mock-up Interface standard to integrate Functional Mock-up Units as high-level architecture federates. A case study demonstrates integrating a vehicle thermal management system simulation partitioned across two Functional Mock-up Units using C2WT.
SysML for embedded system engineering - Academy Camp 2015Régis Castéran
Presentation held during the Berner and Mattner Academy Camp 2015 about SysML usage for requirement specification and architecture description applied to embedded system engineering
Præsentationen blev holdt ved InfinIT-konferencen SummIT 2013, der blev afholdt den 22. maj 2013 på Axelborg i København. Læs mere om konferencen her: http://www.infinit.dk/dk/arrangementer/tidligere_arrangementer/summit_2013.htm
Model Driven Architecture and eXecutable UMLelliando dias
The document discusses Model Driven Architecture (MDA) and how executable UML models can support MDA. Key points include:
- MDA uses three primary model viewpoints: computation independent, platform independent, and platform specific models.
- Executable UML models can be used to validate platform independent models by executing acceptance tests on them.
- Model transformations allow automated mappings between models and generation of platform specific models.
Presented at the 2012 FAA ATIE Conference in Silver Spring, US. Ian Painter of Snowflake presented on the model driven techniques that could be use to unify the data modelling of the Aeronautical Information eXchange Model (AIXM), the Weather eXchange Model (WXXM) and the newly developed Flight Information eXchange Model (FIXM)
How to leverage the Functional Mock-up Interface (FMI) for Model Based System...Siemens PLM Software
This presentation focusses on the use cases and motivations behind FMI and provide some tips on when to use Model Exchange or Co-Simulation. It illustrates how FMI helps covering all the phases of product design in a scalable way by connecting LMS Imagine.Lab Amesim™ models with models of various levels of detail such as 3D/MBS tools or advanced FEA or CFD codes. Parallelized heterogeneous co-simulation of Functional Mock-up Units (FMUs) is described from MiL, through SiL, towards HiL applications, for instance on recent FMI compliant multiprocessor real-time targets. The use of “surrogate FMUs” for controls validation, or for evaluating global product performance attributes such as Vehicle Fuel Economy is discussed. Then it is explained why FMI enables the management of complex product architectures and their associated scenarios at high level, and how this can be achieved thanks to Siemens PLM Software's LMS Imagine.Lab product family. Lastly, Siemens PLM Software provides its view and perspectives on promising evolutions of the FMI standard.
Modelon’s FMI Composer offers users the ability to build system models, save in an open ssp format, export files as FMU, and simulate in their tool of choice. By leveraging the power of open standards users can connect FMUs, therefore optimizing the use of models across organizations and industries.
Model-Based Integration for FMI Co-Simulation and Heterogeneous Simulations o...Modelon
This document discusses model-based integration of heterogeneous simulations for cyber-physical systems. It presents the Command and Control Wind Tunnel (C2WT) approach, which uses models of interactions and shared data to integrate different simulation tools. C2WT supports the Functional Mock-up Interface standard to integrate Functional Mock-up Units as high-level architecture federates. A case study demonstrates integrating a vehicle thermal management system simulation partitioned across two Functional Mock-up Units using C2WT.
SysML for embedded system engineering - Academy Camp 2015Régis Castéran
Presentation held during the Berner and Mattner Academy Camp 2015 about SysML usage for requirement specification and architecture description applied to embedded system engineering
Præsentationen blev holdt ved InfinIT-konferencen SummIT 2013, der blev afholdt den 22. maj 2013 på Axelborg i København. Læs mere om konferencen her: http://www.infinit.dk/dk/arrangementer/tidligere_arrangementer/summit_2013.htm
Executable UML (xUML) provides an executable version of UML with a precisely defined semantics for actions. xUML supports the separation of business logic from platform technology through platform independent models (PIMs) that can be automatically transformed into platform specific models (PSMs) through model mappings. Tools such as Kennedy Carter's iUML and Accelerated Technology's BridgePoint allow developers to simulate and test xUML models prior to translation into executable code.
This document discusses approaches for constructing domain-specific modeling languages (DSMLs). It presents both a top-down approach, which begins with defining a meta-model, and a bottom-up approach, which starts by drafting example models and then inducing a meta-model. The bottom-up approach aims to facilitate DSML construction by non-experts by allowing them to provide model fragments from which a meta-model is constructed. Annotations on the fragments can trigger refactorings to the meta-model. Open issues that arise are also recorded to aid resolution.
Rhapsody's model-driven development environment allows developers to work how they want through model and code synchronization. It supports software asset reuse and visualizing legacy code for clarity. Model-driven testing helps improve quality and productivity. Rhapsody provides an open environment to continue using existing tools.
This document presents a reusable test infrastructure for verifying RTL designs using a mixed-language and mixed-level integration approach based on the IP-XACT standard. The test infrastructure is implemented primarily in SystemC TLM2 with a small part in VHDL. It includes configurable components like a processor, memory, peripherals and bus. A case study is described where the infrastructure is used to verify a microcontroller design with interfaces like I2C, SPI and UART through randomized software verification. The infrastructure can be automatically generated from an IP-XACT description based on user-provided configuration values.
agile architecture - two hour presentation - two worked examplesMark Collins-Cope
The document describes an architectural reference model (ARM) for medium to large scale applications that need to undergo frequent changes. The ARM aims to ease refactoring under changing requirements by improving code factoring, separation of concerns, stability, and testability. It divides an application into layers including the interface layer, application layer, domain layer, infrastructure layer, and platform layer. The application layer provides a service-oriented architecture and acts as a coordinator. The domain layer represents domain abstractions and business logic. Examples are provided of how the ARM was implemented for banking and video rental applications.
Integrating Performance Modeling in Industrial Automation through AutomationM...Luca Berardinelli
Data exchange is a critical issue within the multi-disciplinary engineering process of cyber physical production systems (CPPS).
AutomationML (AML) is an emerging standard in the this field to represent and exchange artifacts between heterogeneous engineering tools used in different domains, such as mechanical, electrical, and software engineering. However, in addition, the interoperability of different exchange standards may be needed in order to integrate even further tools in current tool chains. For instance, the Performance Model Interchange Format (PMIF) is a common representation devised in the performance engineering domain for model-based system performance analysis and simulation based on Queueing Network Models (QNM). Of course, such aspects are also of particular interest when designing a CPPS.
This work investigates, with the help of a case study, the combination of AML and PMIF as an enabling step towards an early performance validation of CPPS. By this, we close the current gap between CPPS engineering and performance engineering standards.
The document describes the syllabus for the course EC8791 - Embedded and Real Time Systems. The objectives of the course are to understand embedded system design concepts, learn ARM processor architecture and programming, understand basic embedded programming concepts, and learn about real-time operating systems. The course covers topics such as introduction to embedded computing and ARM processors, embedded system design process, real-time operating systems, and performance analysis of embedded systems. It also discusses formalisms for embedded system design such as the Unified Modeling Language.
The document proposes a graphical model transformation framework (GMTF) to normalize heterogeneous domain models into a standard UML format. The framework involves first capturing business requirements in a computation independent model (CIM) using various specifications. The CIM is then converted into a platform independent model (PIM) using EMF. Finally, the PIM is translated into one or more platform-specific models (PSMs) using tools like Eclipse. Case studies demonstrate converting models from WSDL, Java code, and database schemas into UML-based PSMs using the GMTF approach.
The document discusses 3rd generation process simulation software that can be used for operator training and testing automation systems. It highlights benefits like reducing costs from issues found during testing and training, increased safety from practice scenarios, and maximized efficiency from optimized operator performance. The software integrates seamlessly with control systems, uses customizable interfaces and standardized components, and provides scalable solutions for projects of any size.
In the last several months, MLflow has introduced significant platform enhancements that simplify machine learning lifecycle management. Expanded autologging capabilities, including a new integration with scikit-learn, have streamlined the instrumentation and experimentation process in MLflow Tracking. Additionally, schema management functionality has been incorporated into MLflow Models, enabling users to seamlessly inspect and control model inference APIs for batch and real-time scoring. In this session, we will explore these new features. We will share MLflow’s development roadmap, providing an overview of near-term advancements in the platform.
IBM's SmartCloud Orchestrator provides end-to-end automation of cloud service delivery through workload orchestration, resource orchestration, and service orchestration. It integrates with existing data center tools and processes using open standards. The Orchestrator includes content types like software bundles, virtual images, and patterns to automate multi-tier application deployments. It also allows custom orchestration operations through actions, user interfaces, and service offerings.
How to Create Your Own Product-Modeling EnvironmentTim Geisler
This document discusses how to create a product modeling environment using domain-specific languages (DSLs) and Eclipse tools. It describes using DSLs to model products tailored to a company's needs, with an Eclipse-based IDE for editing. It provides examples of DSLs used at Nokia Siemens Networks for product modeling and integration with SAP, and discusses the various components involved in creating a customized product modeling environment, including the DSL grammar/metamodel, validation, code generation, and integration with other systems.
This document provides an overview of Watson Machine Learning Community Edition (WML-CE) and SnapML. WML-CE is an open source distribution of deep learning tools that enables enterprises to quickly deploy deep learning. It includes tools for data management, model management, visualization, and distributed execution. SnapML is a high performance machine learning library that can accelerate popular frameworks like scikit-learn. It provides capabilities like distributed training, GPU acceleration, and support for large datasets. The hands-on portions will demonstrate setting up WML-CE and doing experiments with SnapML.
Helixa uses serverless machine learning architectures to power an audience intelligence platform. It ingests large datasets and uses machine learning models to provide insights. Helixa's machine learning system is built on AWS serverless services like Lambda, Glue, Athena and S3. It features a data lake for storage, a feature store for preprocessed data, and uses techniques like map-reduce to parallelize tasks. Helixa aims to build scalable and cost-effective machine learning pipelines without having to manage servers.
The presentation provides an overview of behavioral synthesis and SystemC. It discusses what behavioral synthesis is, the synthesis process which includes data flow optimization, scheduling, clustering, allocation and binding, and control logic generation. It notes some limitations of behavioral synthesis. It then defines SystemC as a C++ library with HDL features that allows modeling concurrent processes using plain C++ syntax. It outlines some key features of SystemC like modules, ports, processes and channels.
PracticalExperiences Migrating Unified Modeling Language Models to IBM® Rati...Einar Karlsen
The presentation presents some experiences migrating UML models to Rational Software Architect. It covers the topics: Motivations and Mechanisms, Migration Process
Migration from Rational Rose and Rational XDE to RSA,
Migration from 3rd Party UML Tools, Basic Rules and Conclusions.
Dive into the realm of operating systems (OS) with Pravash Chandra Das, a seasoned Digital Forensic Analyst, as your guide. 🚀 This comprehensive presentation illuminates the core concepts, types, and evolution of OS, essential for understanding modern computing landscapes.
Beginning with the foundational definition, Das clarifies the pivotal role of OS as system software orchestrating hardware resources, software applications, and user interactions. Through succinct descriptions, he delineates the diverse types of OS, from single-user, single-task environments like early MS-DOS iterations, to multi-user, multi-tasking systems exemplified by modern Linux distributions.
Crucial components like the kernel and shell are dissected, highlighting their indispensable functions in resource management and user interface interaction. Das elucidates how the kernel acts as the central nervous system, orchestrating process scheduling, memory allocation, and device management. Meanwhile, the shell serves as the gateway for user commands, bridging the gap between human input and machine execution. 💻
The narrative then shifts to a captivating exploration of prominent desktop OSs, Windows, macOS, and Linux. Windows, with its globally ubiquitous presence and user-friendly interface, emerges as a cornerstone in personal computing history. macOS, lauded for its sleek design and seamless integration with Apple's ecosystem, stands as a beacon of stability and creativity. Linux, an open-source marvel, offers unparalleled flexibility and security, revolutionizing the computing landscape. 🖥️
Moving to the realm of mobile devices, Das unravels the dominance of Android and iOS. Android's open-source ethos fosters a vibrant ecosystem of customization and innovation, while iOS boasts a seamless user experience and robust security infrastructure. Meanwhile, discontinued platforms like Symbian and Palm OS evoke nostalgia for their pioneering roles in the smartphone revolution.
The journey concludes with a reflection on the ever-evolving landscape of OS, underscored by the emergence of real-time operating systems (RTOS) and the persistent quest for innovation and efficiency. As technology continues to shape our world, understanding the foundations and evolution of operating systems remains paramount. Join Pravash Chandra Das on this illuminating journey through the heart of computing. 🌟
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
Executable UML (xUML) provides an executable version of UML with a precisely defined semantics for actions. xUML supports the separation of business logic from platform technology through platform independent models (PIMs) that can be automatically transformed into platform specific models (PSMs) through model mappings. Tools such as Kennedy Carter's iUML and Accelerated Technology's BridgePoint allow developers to simulate and test xUML models prior to translation into executable code.
This document discusses approaches for constructing domain-specific modeling languages (DSMLs). It presents both a top-down approach, which begins with defining a meta-model, and a bottom-up approach, which starts by drafting example models and then inducing a meta-model. The bottom-up approach aims to facilitate DSML construction by non-experts by allowing them to provide model fragments from which a meta-model is constructed. Annotations on the fragments can trigger refactorings to the meta-model. Open issues that arise are also recorded to aid resolution.
Rhapsody's model-driven development environment allows developers to work how they want through model and code synchronization. It supports software asset reuse and visualizing legacy code for clarity. Model-driven testing helps improve quality and productivity. Rhapsody provides an open environment to continue using existing tools.
This document presents a reusable test infrastructure for verifying RTL designs using a mixed-language and mixed-level integration approach based on the IP-XACT standard. The test infrastructure is implemented primarily in SystemC TLM2 with a small part in VHDL. It includes configurable components like a processor, memory, peripherals and bus. A case study is described where the infrastructure is used to verify a microcontroller design with interfaces like I2C, SPI and UART through randomized software verification. The infrastructure can be automatically generated from an IP-XACT description based on user-provided configuration values.
agile architecture - two hour presentation - two worked examplesMark Collins-Cope
The document describes an architectural reference model (ARM) for medium to large scale applications that need to undergo frequent changes. The ARM aims to ease refactoring under changing requirements by improving code factoring, separation of concerns, stability, and testability. It divides an application into layers including the interface layer, application layer, domain layer, infrastructure layer, and platform layer. The application layer provides a service-oriented architecture and acts as a coordinator. The domain layer represents domain abstractions and business logic. Examples are provided of how the ARM was implemented for banking and video rental applications.
Integrating Performance Modeling in Industrial Automation through AutomationM...Luca Berardinelli
Data exchange is a critical issue within the multi-disciplinary engineering process of cyber physical production systems (CPPS).
AutomationML (AML) is an emerging standard in the this field to represent and exchange artifacts between heterogeneous engineering tools used in different domains, such as mechanical, electrical, and software engineering. However, in addition, the interoperability of different exchange standards may be needed in order to integrate even further tools in current tool chains. For instance, the Performance Model Interchange Format (PMIF) is a common representation devised in the performance engineering domain for model-based system performance analysis and simulation based on Queueing Network Models (QNM). Of course, such aspects are also of particular interest when designing a CPPS.
This work investigates, with the help of a case study, the combination of AML and PMIF as an enabling step towards an early performance validation of CPPS. By this, we close the current gap between CPPS engineering and performance engineering standards.
The document describes the syllabus for the course EC8791 - Embedded and Real Time Systems. The objectives of the course are to understand embedded system design concepts, learn ARM processor architecture and programming, understand basic embedded programming concepts, and learn about real-time operating systems. The course covers topics such as introduction to embedded computing and ARM processors, embedded system design process, real-time operating systems, and performance analysis of embedded systems. It also discusses formalisms for embedded system design such as the Unified Modeling Language.
The document proposes a graphical model transformation framework (GMTF) to normalize heterogeneous domain models into a standard UML format. The framework involves first capturing business requirements in a computation independent model (CIM) using various specifications. The CIM is then converted into a platform independent model (PIM) using EMF. Finally, the PIM is translated into one or more platform-specific models (PSMs) using tools like Eclipse. Case studies demonstrate converting models from WSDL, Java code, and database schemas into UML-based PSMs using the GMTF approach.
The document discusses 3rd generation process simulation software that can be used for operator training and testing automation systems. It highlights benefits like reducing costs from issues found during testing and training, increased safety from practice scenarios, and maximized efficiency from optimized operator performance. The software integrates seamlessly with control systems, uses customizable interfaces and standardized components, and provides scalable solutions for projects of any size.
In the last several months, MLflow has introduced significant platform enhancements that simplify machine learning lifecycle management. Expanded autologging capabilities, including a new integration with scikit-learn, have streamlined the instrumentation and experimentation process in MLflow Tracking. Additionally, schema management functionality has been incorporated into MLflow Models, enabling users to seamlessly inspect and control model inference APIs for batch and real-time scoring. In this session, we will explore these new features. We will share MLflow’s development roadmap, providing an overview of near-term advancements in the platform.
IBM's SmartCloud Orchestrator provides end-to-end automation of cloud service delivery through workload orchestration, resource orchestration, and service orchestration. It integrates with existing data center tools and processes using open standards. The Orchestrator includes content types like software bundles, virtual images, and patterns to automate multi-tier application deployments. It also allows custom orchestration operations through actions, user interfaces, and service offerings.
How to Create Your Own Product-Modeling EnvironmentTim Geisler
This document discusses how to create a product modeling environment using domain-specific languages (DSLs) and Eclipse tools. It describes using DSLs to model products tailored to a company's needs, with an Eclipse-based IDE for editing. It provides examples of DSLs used at Nokia Siemens Networks for product modeling and integration with SAP, and discusses the various components involved in creating a customized product modeling environment, including the DSL grammar/metamodel, validation, code generation, and integration with other systems.
This document provides an overview of Watson Machine Learning Community Edition (WML-CE) and SnapML. WML-CE is an open source distribution of deep learning tools that enables enterprises to quickly deploy deep learning. It includes tools for data management, model management, visualization, and distributed execution. SnapML is a high performance machine learning library that can accelerate popular frameworks like scikit-learn. It provides capabilities like distributed training, GPU acceleration, and support for large datasets. The hands-on portions will demonstrate setting up WML-CE and doing experiments with SnapML.
Helixa uses serverless machine learning architectures to power an audience intelligence platform. It ingests large datasets and uses machine learning models to provide insights. Helixa's machine learning system is built on AWS serverless services like Lambda, Glue, Athena and S3. It features a data lake for storage, a feature store for preprocessed data, and uses techniques like map-reduce to parallelize tasks. Helixa aims to build scalable and cost-effective machine learning pipelines without having to manage servers.
The presentation provides an overview of behavioral synthesis and SystemC. It discusses what behavioral synthesis is, the synthesis process which includes data flow optimization, scheduling, clustering, allocation and binding, and control logic generation. It notes some limitations of behavioral synthesis. It then defines SystemC as a C++ library with HDL features that allows modeling concurrent processes using plain C++ syntax. It outlines some key features of SystemC like modules, ports, processes and channels.
PracticalExperiences Migrating Unified Modeling Language Models to IBM® Rati...Einar Karlsen
The presentation presents some experiences migrating UML models to Rational Software Architect. It covers the topics: Motivations and Mechanisms, Migration Process
Migration from Rational Rose and Rational XDE to RSA,
Migration from 3rd Party UML Tools, Basic Rules and Conclusions.
Dive into the realm of operating systems (OS) with Pravash Chandra Das, a seasoned Digital Forensic Analyst, as your guide. 🚀 This comprehensive presentation illuminates the core concepts, types, and evolution of OS, essential for understanding modern computing landscapes.
Beginning with the foundational definition, Das clarifies the pivotal role of OS as system software orchestrating hardware resources, software applications, and user interactions. Through succinct descriptions, he delineates the diverse types of OS, from single-user, single-task environments like early MS-DOS iterations, to multi-user, multi-tasking systems exemplified by modern Linux distributions.
Crucial components like the kernel and shell are dissected, highlighting their indispensable functions in resource management and user interface interaction. Das elucidates how the kernel acts as the central nervous system, orchestrating process scheduling, memory allocation, and device management. Meanwhile, the shell serves as the gateway for user commands, bridging the gap between human input and machine execution. 💻
The narrative then shifts to a captivating exploration of prominent desktop OSs, Windows, macOS, and Linux. Windows, with its globally ubiquitous presence and user-friendly interface, emerges as a cornerstone in personal computing history. macOS, lauded for its sleek design and seamless integration with Apple's ecosystem, stands as a beacon of stability and creativity. Linux, an open-source marvel, offers unparalleled flexibility and security, revolutionizing the computing landscape. 🖥️
Moving to the realm of mobile devices, Das unravels the dominance of Android and iOS. Android's open-source ethos fosters a vibrant ecosystem of customization and innovation, while iOS boasts a seamless user experience and robust security infrastructure. Meanwhile, discontinued platforms like Symbian and Palm OS evoke nostalgia for their pioneering roles in the smartphone revolution.
The journey concludes with a reflection on the ever-evolving landscape of OS, underscored by the emergence of real-time operating systems (RTOS) and the persistent quest for innovation and efficiency. As technology continues to shape our world, understanding the foundations and evolution of operating systems remains paramount. Join Pravash Chandra Das on this illuminating journey through the heart of computing. 🌟
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...Tatiana Kojar
Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
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1. Welcome A Practical Guide to Code Generation using Model Driven Architecture and Executable UML 25 Jun 2008 Chris Raistrick, Kennedy Carter [email_address] KC.COM
5. Elaboration Based Process The deliverables are up to 300% redundant… … and maintenance costs are correspondingly high Requirements (Text / Use Cases) This must be changed… or become obsolete This must be changed… or become obsolete This must be changed When this changes manually build a Platform Specific Model … PSM (UML) manually code a Platform Specific Implementation PSI (Ada/C++) manually build a Platform Independent Model … PIM (UML) Process definition Design policies Imp’n rules
6. Elaboration vs. Translation PSM (UML) Process definition Design policies Coding rules manually code a Platform Specific Implementation PSI (Ada/C++) manually build a Platform Independent Model … PIM (UML) Elaborate Translate manually build a Platform Specific Model … PSI (Ada/C/C++) automatically generate a Platform Specific Implementation using PIM-PSI mappings PIM-PSI Mappings (xUML) manually specify mappings onto the platform … manually build a Platform Independent Model … PIM (xUML) Requirement Change impact Technology Change impact
7. Translation Based Process Translate The knowledge in the heads of developers is: - Formalized - Accessible - Reusable - Refinable Process definition Design policies Coding rules PSI (Ada/C/C++) automatically generate a Platform Specific Implementation using PIM-PSI mappings PIM-PSI Mappings (xUML) manually specify mappings onto the platform … manually build a Platform Independent Model … PIM (xUML)
8. Formalized Application and Software Design Expertise PIM-PSI Mappings (xUML) automatically generate a Platform Specific Implementation using PIM-PSI mappings manually specify mappings onto the platform … manually build a Platform Independent Model … PIM (xUML) Rules and policies for organising aircraft Process definition Design policies Coding rules PSI (Code) Rules and policies for organising software
14. The Code Generator: Domains Populate Generate System Model Code Generator Generated Code xUML Runtime Layer Generated System Adaptation Layer The code generator itself is a set of domain models expressed using xUML. The domains represent the various components of an xUML system. (Part of) Code Generator Domain Chart xUML Model (PIM) Platform-Specific Configuration xUML-Code Mappings iCCG Code Generator
15. The Code Generator: Classes and Methods (Part of) Configurable Code Generator Domain Chart iCCG Code Generator Code Generator xUML-Code Mappings (Part of) Executable UML Class Model the classes in each domain represent the elements that make up those components. Method to Generate Java Method to Generate Ada Method to Generate C++ Method to Generate C … $FORMAT header_file typedef struct C[I:this.class_ID]_struct { /* "[T:this.class_name]" Class Header */ struct s_object *next_instance; $ENDFORMAT … Each element contains operations which specify how to map that xUML element onto a specific target language.
16.
17. Instantiate the Formalism Metamodel Domain Instance Class Instances Attribute Instances Populated Executable UML Class Model When the Executable UML domain is populated with the PIM components, we see these instances… Populate xUML Model (PIM) Platform-Specific Configuration System Model xUML-Code Mappings iCCG Code Generator Code Generator
18. The Metamodels Embody the Code Generation Rules Domain.generateCode Class.generateCode Attribute.generateCode The task of translation involves iterating through these instances and generating suitable code from them. iCCG Code Generator Code Generator xUML-Code Mappings
19. Generate the Code Platform Independent Model : Class Diagram Generated C Code Generate Generate xUML-Code Mappings iCCG Code Generator Code Generator Generated Code xUML Runtime Layer Generated System Adaptation Layer
20. We have illustrated generation of data structures from the class model. The process of generating code from the action language is the same, and based upon populating and translating instances in the “Action Language” domain… Generating Code from Action Language Note that the “generateCode” operation of the “ASL Statement” class is polymorphic, allowing us to implement rival versions of this method for each type of ASL statement, represented as the subclasses “Create Statement”, “Delete Statement” and so on polymorphic operation with different polymorphic methods to generate code for each different ASL statement
21. Generate the Code Generator Project Code Generator Pre-Existing Code Generator Project Domain Models Project Code Code Generator PIM (part of) xUML Metamodel Domain Class Attribute xUML Metamodels xUML to Code Mappings in ASL
22. Code Generation Overview Populate Generate xUML Model (PIM) Platform-Specific Configuration System Model xUML-Code Mappings iCCG Code Generator Code Generator Generated Code xUML Runtime Layer Generated System Adaptation Layer PLATFORM SPECIFIC CONFIGURATION FILE PROCESS "Process One" ONE 1 127.0.0.1 1000 1600 PROCESS "Process Two" TWO 1 127.0.0.1 1001 1601 CLASS-PROCESS WM TGT ONE CLASS-PROCESS WM WPN TWO (part of) xUML Metamodel Domain Class Attribute owning_domain = this -> R2 $FORMAT header_file typedef struct D[I:owning_domain.domain_ID]_C[I:this.class_ID]_struct { /* "[T:this.class_name]" Class Header */ struct s_object *next_instance; /* Linked list of */ struct s_object *prev_instance; /* object instances */ struct s_object *rel_ptr; /* list of rel'ns */ struct s_object *cpr_ptr; /* list of cp rel'ns */ $ENDFORMAT {attributes_in_class} = this -> R3 for the_attribute in {attributes_in_class} do [] = ATT1:generateCode [header_file] on the_attribute endfor $FORMAT header_file }; $ENDFORMAT Multi-node multi-process runtime Windows Vista adaptation layer
28. Optimized Instance Handles The first element is a status indicator: 0 means “undefined”, 1 means “defined”. The second element (which is defined only if the first element is 1) is an index into the attribute arrays of the object it references, i.e. an object “pointer”. An instance handle can be realised as a 2-element array of integers. Instance attributes can be realised as fixed-length arrays, with a flag for each index to indicate whether that instance exists Customer custId custName custAddress
29. Optimized Associations note that creating and deleting objects and links does not involve any dynamic memory management… … even though there are ‘create’ and ‘delete’ statements in the PIM A binary association is implemented as two 2-dimensional arrays. Each array implements the association in one direction only. Customer End Account End Customer 0 owns Account 2 Account 6 is owned by Customer 2 accountId dateOpened balance ownerId status Account owns is owned by 1..* 0..1 R1 Customer custId custName custAddress
47. MDA Limits the Impact of Business Rule and Technology Changes UML Metamodel Platform & implementation environment changes impact only here PIM Instantiate Business rule & requirement changes impact only here Manual or Automated PSM Metamodel Define Mapping PSM Apply Mapping PSI Metamodel Define Mapping PSI Apply Mapping
48. Reusable Mappings Are Defined at the Metamodel Level (part of) UML Metamodel Class Attribute Signal PSM Metamodel PSI Metamodel Define Mapping xUML Metamodel Define Mapping (part of) PSM Metamodel (object-based) Class PrivateDatum PublicMethod (part of) Ada 83 Metamodel Package BodyVariable SpecSubprogram
49. Reusable Mappings Are Defined at the Metamodel Level (part of) UML Metamodel Class Attribute Signal PSM Metamodel PSI Metamodel Define Mapping xUML Metamodel Define Mapping (part of) PSM Metamodel (object-based) Class PrivateDatum PublicMethod (part of) Java Metamodel Class Attribute Operation
55. Maintainability vs. Executability PSM (UML) manually build a Platform Specific Model … manually code a Platform Specific Implementation PSI (Code) manually build a Platform Independent Model … PIM (UML) Elaborate Compromise between maintainability and executability In classic approaches, the PSI (code) must be built to be maintainable, typically by incorporating layering and encapsulation … …which have a detrimental effect on speed and size of the executing system PSI (Code) automatically generate a Platform Specific Implementation using PIM-PSI mappings manually build a Platform Independent Model … PIM (xUML) Translate Built for executability Built for maintainability In translation-based approaches, the maintained entity (the PIM) is built for maintainability with layering and encapsulation… … while the executable entity (the PSI) is optimized for execution efficiency
56. The End A Practical Guide to Code Generation using Model Driven Architecture and Executable UML 25 Jun 2008 Chris Raistrick, Kennedy Carter [email_address] KC.COM
Editor's Notes
Make a sign. There are a number of slides that contain what might be called tedious but relevant detail. These were included for reference. My reserves of time, and I suspect your reserves of alertness, preclude detailed examination of these slides.
Components are lovingly handcrafted Each is subjected to its own personal design and implementation process clearly nobody would build components like this. Look at all these tables…
Imagine these are software engineers – which is quite hard. What happens if we take the classic analyse-design-code process in the context of MDA? Hard to swim up a waterfall What happens when a requirement changes? What happens to the PIM and PSM?
Look how sunny it is on the right The more environmentally responsible among you will have noticed a problem with the right hand picture. It contains pollution. However, this is due to an inappropriately selected piece of tacky clip art. As we shall see, MDA embodies its own anti-pollution policy.
MDA is about formalisation of expertise…both application and technology expertise
We can formalise the rules and policies about how we organise our software… …in exactly the same way that we formalise rules about how we organise aircraft… by building executable UML models of those two domains Design is just a subject matter for analysis.
The primary deliverable in this approach to MDA is the PIM. It is here that all rules and policies are defined. It is here that requirement changes are reflected. The PSM and the PSI are merely derived products.
We build a PIM that is technology agnostic, but this can be accompanied by platform-specific configuration data to influence the code generation process. The xUML Runtime layer provides the xUML virtual machine. It may not be present in highly compact targets. The adaptation layer provides services to map onto the underlying platform – operating system, language and middleware.
This process is predicated on the need to build precise, executable models. This precludes use of highly complex, semantically ambiguous notations (such as UML 2.x) Executable UML is a precise proper subset of UML, composed of a small set of simple notations, organised in a predictable and simple way.
Much of the complexity of UML 2.x exists because of the need to build PSMs, in which we must concern ourselves with: different types of communication data structures code structures (e.g. friends) node boundaries sw engineers have a long track record of migrating to more abstract formalisms
The code generator is just a set of domains… …representing the components to be mapped… …with embedded mappings Let’s walk through the steps of this process
This is an executable model of our code generation rules. When we generate code from this model, we get a code generator!
So our PIM is now just data – even the code!
To generate code for a domain, we write a “generateCode” operation on the Domain class… …which iterates across all classes… etc
In the olden days, we used to pile all our data into a global area and systematically rape and plunder it at will. Not pretty, but very fast.
If we have a complex implementation architecture, we do what all modellers do with complex things… …we model them. Here we have a model of the PSM components.
All this extra complexity would typically end up in the model, but with this approach the model can be kept in its simnplest form.
Design is just another subject matter for analysis
What characteristics, what constraints? - select a paradigm.