The document describes CONFLuEnCE, a continuous workflow execution engine. It was developed to enable applications involving continuous data streams. CONFLuEnCE extends the Kepler workflow system with a new continuous workflow director, window operators, and push communication capabilities. It implements the continuous workflow model, which includes waves of events, window semantics, and continuously running activities. Two example applications developed with CONFLuEnCE are described: supply chain management and Astroshelf, a collaboration platform for astrophysicists.
This document discusses reuse contracts as a basis for investigating code reusability in Smalltalk. It covers problems with code reuse and evolution when requirements change. Reuse contracts are proposed as a way to formally document how classes can be reused through inheritance, composition, and other operators. The contracts make explicit the specialization interface and how components are reused. The document discusses how reuse contracts can help with tasks like estimating effort for customization, analyzing evolution impacts, and extracting reuse documentation from source code.
This presentation introduces the main features of Swing, an UI development library for the Java ecosystem. The main focus of the slides is to show the basic features of Swing, such as:
- Main components (JFrame, JPanel, ...)
- Layout management (FlowLayout, BorderLayout, GridLayout, ...)
- Event handling
The presentation is took from the Java course I run in the bachelor-level informatics curriculum at the University of Padova.
DejaVOO: A Regression Testing Tool for Java SoftwareManas Tungare
DejaVOO is a regression testing tool for Java that implements a safe regression test selection algorithm. The algorithm handles object-oriented features of Java like inheritance, polymorphism, and exceptions. It can select a subset of tests (T') from an original test suite (T) to validate a new version (P') of a program (P) in a way that ensures T' will expose any faults in P' while running faster than running all of T. DejaVOO analyzes programs using the Java Virtual Machine profiling interface and bytecode analysis to select only dangerous tests likely to fail. It has the potential for significant savings in regression testing time compared to re-running all tests.
Close Encounters in MDD: when models meet codelbergmans
“Close encounters in MDD: when Models meet Code”
Model-Driven Development (MDD) promises a number of advantages, which include the ability to work at higher abstraction levels, static reasoning about models, and generation of platform-specific code. To achieve this, generally a transformation-based approach is adopted, which generates code from models. In this presentation we discuss –in addition to the potential advantages– a number of possible misunderstandings and risks of MDD.
In particular, we address the risks of transformation-based software development, such as:
• It is rarely possible to generate the full functionality of a (sub-)system from models; as a result, it is necessary to either do additional ‘manual coding’ –a challenge to integrate with the generated code– or annotate the model with small or larger fragments of executable code, which has several restrictions and practical consequences: for instance it mingles abstraction levels, and reduces maintainability of code and models.
• MDD is particularly effective when various different models can be used, each optimized for a specific domain. However, when using transformation techniques, de combination of multiple models in an integrated application is far from trivial.
In this talk we propose –as a low-threshold approach–, ‘bottom-up’ model-driven development. This means that the focus on domain-specific abstractions remains, as well as the separation of platform-specific and platform-independent software. This approach, which is related to Domain-Driven Design and domain-specific languages (DSLs), aims to exploit the advantages of modeling in terms of abstractions, while at the same time reducing the gap between models and code. This can be achieved by specifying the models in code, while separating platform-specific code from the model code. An important issue is the capability to combine several different models, without getting into technical difficulties: we discuss existing as well as a novel approach, entitled Co-op, which aim to address this problem.
Finally, we discuss how the presented approach fits with the ‘scalable design’ approach for developing software that is scalable with respect to evolving requirements.
The document discusses software architecture patterns and principles. It provides examples of how to apply Model-View-Controller (MVC), client-server, and other patterns to Android and web application development. Key strategies mentioned include refactoring existing code, separating concerns, and using patterns like observer and strategy to reduce coupling between architectural components.
The document discusses the Abstract Window Toolkit (AWT) in Java. It describes AWT components like containers (Window and Panel), components (buttons, labels), and layout managers (BorderLayout, FlowLayout, GridLayout). It explains how containers, components, and layout managers work together to build a graphical user interface (GUI) in Java. It provides examples of creating frames and panels, adding components to containers, and using different layout managers.
Incremental pattern matching in the VIATRA2 model transformation frameworkIstvan Rath
This document discusses incremental pattern matching in the VIATRA2 model transformation framework. It introduces incremental pattern matching using the RETE algorithm as implemented in VIATRA2. The RETE algorithm caches pattern matches and incrementally updates them as the model changes. This allows pattern matching to be performed incrementally for efficient model transformations on evolving models. The document outlines how RETE networks are constructed from patterns and how they are updated based on model changes notified through the VIATRA framework. Initial performance analysis is discussed to compare incremental versus local search approaches.
This document discusses reuse contracts as a basis for investigating code reusability in Smalltalk. It covers problems with code reuse and evolution when requirements change. Reuse contracts are proposed as a way to formally document how classes can be reused through inheritance, composition, and other operators. The contracts make explicit the specialization interface and how components are reused. The document discusses how reuse contracts can help with tasks like estimating effort for customization, analyzing evolution impacts, and extracting reuse documentation from source code.
This presentation introduces the main features of Swing, an UI development library for the Java ecosystem. The main focus of the slides is to show the basic features of Swing, such as:
- Main components (JFrame, JPanel, ...)
- Layout management (FlowLayout, BorderLayout, GridLayout, ...)
- Event handling
The presentation is took from the Java course I run in the bachelor-level informatics curriculum at the University of Padova.
DejaVOO: A Regression Testing Tool for Java SoftwareManas Tungare
DejaVOO is a regression testing tool for Java that implements a safe regression test selection algorithm. The algorithm handles object-oriented features of Java like inheritance, polymorphism, and exceptions. It can select a subset of tests (T') from an original test suite (T) to validate a new version (P') of a program (P) in a way that ensures T' will expose any faults in P' while running faster than running all of T. DejaVOO analyzes programs using the Java Virtual Machine profiling interface and bytecode analysis to select only dangerous tests likely to fail. It has the potential for significant savings in regression testing time compared to re-running all tests.
Close Encounters in MDD: when models meet codelbergmans
“Close encounters in MDD: when Models meet Code”
Model-Driven Development (MDD) promises a number of advantages, which include the ability to work at higher abstraction levels, static reasoning about models, and generation of platform-specific code. To achieve this, generally a transformation-based approach is adopted, which generates code from models. In this presentation we discuss –in addition to the potential advantages– a number of possible misunderstandings and risks of MDD.
In particular, we address the risks of transformation-based software development, such as:
• It is rarely possible to generate the full functionality of a (sub-)system from models; as a result, it is necessary to either do additional ‘manual coding’ –a challenge to integrate with the generated code– or annotate the model with small or larger fragments of executable code, which has several restrictions and practical consequences: for instance it mingles abstraction levels, and reduces maintainability of code and models.
• MDD is particularly effective when various different models can be used, each optimized for a specific domain. However, when using transformation techniques, de combination of multiple models in an integrated application is far from trivial.
In this talk we propose –as a low-threshold approach–, ‘bottom-up’ model-driven development. This means that the focus on domain-specific abstractions remains, as well as the separation of platform-specific and platform-independent software. This approach, which is related to Domain-Driven Design and domain-specific languages (DSLs), aims to exploit the advantages of modeling in terms of abstractions, while at the same time reducing the gap between models and code. This can be achieved by specifying the models in code, while separating platform-specific code from the model code. An important issue is the capability to combine several different models, without getting into technical difficulties: we discuss existing as well as a novel approach, entitled Co-op, which aim to address this problem.
Finally, we discuss how the presented approach fits with the ‘scalable design’ approach for developing software that is scalable with respect to evolving requirements.
The document discusses software architecture patterns and principles. It provides examples of how to apply Model-View-Controller (MVC), client-server, and other patterns to Android and web application development. Key strategies mentioned include refactoring existing code, separating concerns, and using patterns like observer and strategy to reduce coupling between architectural components.
The document discusses the Abstract Window Toolkit (AWT) in Java. It describes AWT components like containers (Window and Panel), components (buttons, labels), and layout managers (BorderLayout, FlowLayout, GridLayout). It explains how containers, components, and layout managers work together to build a graphical user interface (GUI) in Java. It provides examples of creating frames and panels, adding components to containers, and using different layout managers.
Incremental pattern matching in the VIATRA2 model transformation frameworkIstvan Rath
This document discusses incremental pattern matching in the VIATRA2 model transformation framework. It introduces incremental pattern matching using the RETE algorithm as implemented in VIATRA2. The RETE algorithm caches pattern matches and incrementally updates them as the model changes. This allows pattern matching to be performed incrementally for efficient model transformations on evolving models. The document outlines how RETE networks are constructed from patterns and how they are updated based on model changes notified through the VIATRA framework. Initial performance analysis is discussed to compare incremental versus local search approaches.
Next generation of frontend architectures - Luca Mezzalira - Codemotion Milan...Codemotion
Will Reactive programming be the default choice for modern apps? When would you want to use event emitters as opposed to event streams with operators? In this session you'll find the answers to those questions and much more! If you want to learn more about Reactive Programming that's exactly the session for you!
This document outlines lab work assignments for an object-oriented programming course. The assignments include:
1) Creating a class to register student details and prevent duplicate entries.
2) Creating a banking account class to perform deposit, withdrawal, and statement printing transactions.
3) Creating a mobile phone class to store phone details and allow user login/selection of products to calculate total cost.
Caliburn.Micro is an MVVM framework that aims to simplify building WPF, Silverlight, and Windows Phone applications using common UI patterns like MVVM. It provides features like automatic view-viewmodel resolution through conventions, an event aggregator for loose coupling between components, window management, and coroutines for asynchronous programming. The framework handles common tasks like UI lifecycle management and removes much of the boilerplate code associated with building MVVM applications.
[Pilarczyk] Adrenaline programing implementing - SOA and BPM in your applicationjavablend
The document discusses implementing SOA and BPM in applications. It covers business requirements, common acronyms, using open source frameworks, and provides an example implementation. The presentation agenda includes SOA and BPM architectures, an ontology example, BPMN and BPEL standards, and a JBoss-based reference architecture with jBPM, JBoss ESB, and rules components.
This presentation discusses how to achieve continuous delivery, leveraging on docker containers, here used as universal application artifacts. It has been presented at Voxxed '15 Bucharest.
The document describes the design of iOS-Trello, an open-source iOS/Objective-C API wrapper for the Trello public API. It was created to enable collaborative planning and task management apps by providing a simple interface to the Trello API. The wrapper abstracts the API methods into objective-c classes and handles authentication, networking and JSON parsing to simplify making requests to the Trello API.
Integration and Batch Processing on Cloud FoundryJoshua Long
This talk explores the new possibilities for scale by using Spring Integration, Spring Batch and RabbitMQ on Cloud Foundry, the open source PaaS from VMWare.
Presentation for a talk given at University of Malta in relation to industry direction of Reactive Programming and its adoption in Java and Spring as of their latest releases.
Monitoring Cloud Native Applications with PrometheusJacopo Nardiello
This talk is a quick intro to Prometheus with an overview on all its components. The presentation points to a generally available demo so that you can see all its components in action.
Activiti is an open source BPM platform that is lightweight, collaborative, and standards-based using Java. It includes features like mobile clients, integration with frameworks like Spring and services like BPM, ECM, and optional connectivity. The camunda fox BPM platform is based on Activiti and includes additional components for monitoring, modeling, and development support on Java EE containers. Camunda provides training and support for both the open source and commercial editions of Activiti and fox.
This document discusses various design patterns used in Symfony2 frameworks such as Front Controller, Decorator, Factory Method, Abstract Factory, Builder, Proxy, Mediator, Strategy, Data Mapper, Visitor, and MVC. It also discusses anti-patterns like Design for the Sake of Design, Overengineering, The Blob, Reinventing the Wheel, and Spaghetti Code. The key principles discussed are inversion of control, dependency injection, and decoupling. References for further reading on design patterns, inversion of control, and anti-patterns are also provided.
OOP 2021 - Eventual Consistency - Du musst keine Angst habenSusanne Braun
Der Trend zu hochskalierenden Cloud-Anwendungen, die auf datengetriebene Features setzen, ist ungebrochen und immer mehr Anwendungen laufen nur noch unter Eventual Consistency. Nebenläufige Änderungen auf inkonsistenten Daten können zu Replikations-Anomalien wie Lost Updates führen, deren Behandlung selbst für erfahrene Software-Architekt:innen eine Herausforderung darstellt. Der Vortrag vereint die neuesten Forschungsergebnisse und Lessons Learned aus mehreren Case Studies mit konkreten Entwurfsmustern für Architekt:innen.
Windows Azure + PHP, Java, MySQL, LOLCODE?
This session explores the interop possiblities Windows Azure has to offer starting from the architecture that leverages The Freedom of Choice and ending up with relevant examples and usage scenarios.
Based on the results of Serenity project (Framework Programme, from EU), these slides present a security-aware software engineering process. It presents how security must be taken into account in the different phases of software development, including agile development approaches.
This document discusses event tracing using VampirTrace and Vampir. It provides an overview of event tracing, including instrumentation, run-time measurement, and visualization. Event tracing involves instrumenting code to record events, running the instrumented code to generate trace files, and using tools like Vampir to analyze and visualize the trace files.
Multi-Dimensional Context-Aware Adaptation of Service Front-endsJean Vanderdonckt
The Serenoa project aims to develop an open platform that enables context-sensitive service front-ends. The platform will provide user interfaces that are aware of the user, environment, and device context, and can automatically adapt to changes in context. The goal is to improve user satisfaction and performance over traditional static interfaces. The project is working with the W3C to develop standards for model-based user interface design, including meta-models for tasks and abstract user interfaces.
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
OpenID AuthZEN Interop Read Out - AuthorizationDavid Brossard
During Identiverse 2024 and EIC 2024, members of the OpenID AuthZEN WG got together and demoed their authorization endpoints conforming to the AuthZEN API
Next generation of frontend architectures - Luca Mezzalira - Codemotion Milan...Codemotion
Will Reactive programming be the default choice for modern apps? When would you want to use event emitters as opposed to event streams with operators? In this session you'll find the answers to those questions and much more! If you want to learn more about Reactive Programming that's exactly the session for you!
This document outlines lab work assignments for an object-oriented programming course. The assignments include:
1) Creating a class to register student details and prevent duplicate entries.
2) Creating a banking account class to perform deposit, withdrawal, and statement printing transactions.
3) Creating a mobile phone class to store phone details and allow user login/selection of products to calculate total cost.
Caliburn.Micro is an MVVM framework that aims to simplify building WPF, Silverlight, and Windows Phone applications using common UI patterns like MVVM. It provides features like automatic view-viewmodel resolution through conventions, an event aggregator for loose coupling between components, window management, and coroutines for asynchronous programming. The framework handles common tasks like UI lifecycle management and removes much of the boilerplate code associated with building MVVM applications.
[Pilarczyk] Adrenaline programing implementing - SOA and BPM in your applicationjavablend
The document discusses implementing SOA and BPM in applications. It covers business requirements, common acronyms, using open source frameworks, and provides an example implementation. The presentation agenda includes SOA and BPM architectures, an ontology example, BPMN and BPEL standards, and a JBoss-based reference architecture with jBPM, JBoss ESB, and rules components.
This presentation discusses how to achieve continuous delivery, leveraging on docker containers, here used as universal application artifacts. It has been presented at Voxxed '15 Bucharest.
The document describes the design of iOS-Trello, an open-source iOS/Objective-C API wrapper for the Trello public API. It was created to enable collaborative planning and task management apps by providing a simple interface to the Trello API. The wrapper abstracts the API methods into objective-c classes and handles authentication, networking and JSON parsing to simplify making requests to the Trello API.
Integration and Batch Processing on Cloud FoundryJoshua Long
This talk explores the new possibilities for scale by using Spring Integration, Spring Batch and RabbitMQ on Cloud Foundry, the open source PaaS from VMWare.
Presentation for a talk given at University of Malta in relation to industry direction of Reactive Programming and its adoption in Java and Spring as of their latest releases.
Monitoring Cloud Native Applications with PrometheusJacopo Nardiello
This talk is a quick intro to Prometheus with an overview on all its components. The presentation points to a generally available demo so that you can see all its components in action.
Activiti is an open source BPM platform that is lightweight, collaborative, and standards-based using Java. It includes features like mobile clients, integration with frameworks like Spring and services like BPM, ECM, and optional connectivity. The camunda fox BPM platform is based on Activiti and includes additional components for monitoring, modeling, and development support on Java EE containers. Camunda provides training and support for both the open source and commercial editions of Activiti and fox.
This document discusses various design patterns used in Symfony2 frameworks such as Front Controller, Decorator, Factory Method, Abstract Factory, Builder, Proxy, Mediator, Strategy, Data Mapper, Visitor, and MVC. It also discusses anti-patterns like Design for the Sake of Design, Overengineering, The Blob, Reinventing the Wheel, and Spaghetti Code. The key principles discussed are inversion of control, dependency injection, and decoupling. References for further reading on design patterns, inversion of control, and anti-patterns are also provided.
OOP 2021 - Eventual Consistency - Du musst keine Angst habenSusanne Braun
Der Trend zu hochskalierenden Cloud-Anwendungen, die auf datengetriebene Features setzen, ist ungebrochen und immer mehr Anwendungen laufen nur noch unter Eventual Consistency. Nebenläufige Änderungen auf inkonsistenten Daten können zu Replikations-Anomalien wie Lost Updates führen, deren Behandlung selbst für erfahrene Software-Architekt:innen eine Herausforderung darstellt. Der Vortrag vereint die neuesten Forschungsergebnisse und Lessons Learned aus mehreren Case Studies mit konkreten Entwurfsmustern für Architekt:innen.
Windows Azure + PHP, Java, MySQL, LOLCODE?
This session explores the interop possiblities Windows Azure has to offer starting from the architecture that leverages The Freedom of Choice and ending up with relevant examples and usage scenarios.
Based on the results of Serenity project (Framework Programme, from EU), these slides present a security-aware software engineering process. It presents how security must be taken into account in the different phases of software development, including agile development approaches.
This document discusses event tracing using VampirTrace and Vampir. It provides an overview of event tracing, including instrumentation, run-time measurement, and visualization. Event tracing involves instrumenting code to record events, running the instrumented code to generate trace files, and using tools like Vampir to analyze and visualize the trace files.
Multi-Dimensional Context-Aware Adaptation of Service Front-endsJean Vanderdonckt
The Serenoa project aims to develop an open platform that enables context-sensitive service front-ends. The platform will provide user interfaces that are aware of the user, environment, and device context, and can automatically adapt to changes in context. The goal is to improve user satisfaction and performance over traditional static interfaces. The project is working with the W3C to develop standards for model-based user interface design, including meta-models for tasks and abstract user interfaces.
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
OpenID AuthZEN Interop Read Out - AuthorizationDavid Brossard
During Identiverse 2024 and EIC 2024, members of the OpenID AuthZEN WG got together and demoed their authorization endpoints conforming to the AuthZEN API
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Webinar: Designing a schema for a Data WarehouseFederico Razzoli
Are you new to data warehouses (DWH)? Do you need to check whether your data warehouse follows the best practices for a good design? In both cases, this webinar is for you.
A data warehouse is a central relational database that contains all measurements about a business or an organisation. This data comes from a variety of heterogeneous data sources, which includes databases of any type that back the applications used by the company, data files exported by some applications, or APIs provided by internal or external services.
But designing a data warehouse correctly is a hard task, which requires gathering information about the business processes that need to be analysed in the first place. These processes must be translated into so-called star schemas, which means, denormalised databases where each table represents a dimension or facts.
We will discuss these topics:
- How to gather information about a business;
- Understanding dictionaries and how to identify business entities;
- Dimensions and facts;
- Setting a table granularity;
- Types of facts;
- Types of dimensions;
- Snowflakes and how to avoid them;
- Expanding existing dimensions and facts.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
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.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Project Management Semester Long Project - Acuityjpupo2018
Acuity is an innovative learning app designed to transform the way you engage with knowledge. Powered by AI technology, Acuity takes complex topics and distills them into concise, interactive summaries that are easy to read & understand. Whether you're exploring the depths of quantum mechanics or seeking insight into historical events, Acuity provides the key information you need without the burden of lengthy texts.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
1. CONtinuous workFLow ExeCution Engine
Panayiotis (Panickos) Neophytou
Panos K. Chrysanthis
Alexandros Labrinidis
CollaborateCom 2011
Advanced Data Management Technologies Lab
Computer Science Department
University of Pittsburgh
2. Workflows are GREAT!
Ability to automate processes
Integrate and orchestrate resources
(including humans) seamlessly and
effectively.
Service composition.
Process large data static sets
Keep track of things (provenance)
Re-usable
Easy to program (Visual Languages)
CONFLuEnCE: Implementation and Application Design 2
3. High data rates – Push model
New type of data sources (proactive): (unsupported)
Stock price ticker, twitter stream, DSMS tuple streams.
Polling: blocking, miss updates.
Data items participate in multiple interleaving WF
invocations.
CONFLuEnCE: Implementation and Application Design 3
4. Our approach
Goal: Enable monitoring and collaborative
applications that involve processing and integration of
continuous streams of data.
CONFLuEnCE: Continuous Workflow Execution
Engine
Define the model. [CollaborateCom 2008]
Develop the new constructs.
Window semantics, event waves, support backwards workflow
compatibility, enable push
Develop the new model of computation
Continuously running workflow activities.
Deadline driven scheduling.
Implement prototype. [Demo SIGMOD 2011]
CONFLuEnCE: Implementation and Application Design 4
5. Overview
Motivation
Continuous Workflow Model
Waves
Window Operator
Push communication
CONFLuEnCE
CWf Application Scenarios
Conclusions
CONFLuEnCE: Implementation and Application Design 5
6. Continuous Workflow Model
Includes all existing workflow constructs.
Waves of events to distinguish between event
contexts.
Window operators on queues.
Continuously running activities.
Ability to support push communications.
CONFLuEnCE: Implementation and Application Design 6
7. Wave of events
Distinguish events between multiple invocations of an
activity.
Waves expose provenance during design/execution.
Allows synchronization of events of the same lineage.
E.g., Customer order: multiple items, multiple handlers
CONFLuEnCE: Implementation and Application Design 7
8. Window Operator
Apply flexible bounds on unbounded stream of events
Size – Token, Time, Wave, Semantics
Step (period of recalculation) - Token, Time, Wave, Semantics
Delete_used_events flag (after activity has finished executing)
Triggers activities in combination with preconditions.
Window definition
Size=5min Activity preconditions
Step=1min if (window.length >= 2)
Delete_used_events=true fire activity
Out-of-stock
events 10
11
9
80
4
6
7
3
2
5
1 ∅
BD
C
B
A Notify
D C B A
11 8 6 0 Manager
Fired: ✔
✘
Expired If 2 events occur between 5 min
A events of each other, then notify the
manager.
CONFLuEnCE: Implementation and Application Design 8
10. Push Communication
Push communication patterns:
Broadcast
Publish/Subscribe
In->Out Out->In
Port
WF WF
Producer Producer
input input
Hybrid
Port
WF
Producer
input
Producer
Mediator
Producer
CONFLuEnCE: Implementation and Application Design 10
11. Overview
Motivation
Continuous Workflow Model
CONFLuEnCE
Kepler’s Actor Oriented Modeling
Continuous Workflow Director
Windowed Operator
Push Communication
CWf Application Scenarios
Conclusions
CONFLuEnCE: Implementation and Application Design 11
12. CONFLuEnCE: CONtinuous
workFLow ExeCution Engine
Implements our Continuous Workflow model, in
Java, as a module in Kepler
Kepler’s benefits
Open-source scientific workflow system
Actor-based workflow modeling
Built on top of PtolemyII
(modeling, simulating, designing concurrent, real-time
systems)
Well defined models of computation – extendible, pluggable
Large number of basic and specialized actors (task
components)
High-level visual language
CONFLuEnCE: Implementation and Application Design 12
13. Kepler’s Actor Oriented Modeling
Ports
each actor has a set of input and output ports
produce/consume data (a.k.a. tokens)
CONFLuEnCE: Implementation and Application Design 13
14. Kepler’s Actor Oriented Modeling
Dataflow Connections
unidirectional actor “communication” channels
connect output ports with input ports
CONFLuEnCE: Implementation and Application Design 14
16. Kepler’s Actor Oriented Modeling
PN Director
Directors
SDF Director
defines the execution and communication
semantics of workflow graphs
executes workflow graph (some schedule)
sub-workflows may have different directors
promotes reusability
CONFLuEnCE: Implementation and Application Design 16
17. Kepler Directors – Models of
Computation
Directors separate the concerns of orchestration and
scheduling from conceptual design
Synchronous Dataflow (SDF)
Process Networks (PN)
Dynamic Data Flow (DDF)
Continuous Time (CT)
Discrete Event (DE)
…
CONFLuEnCE: Implementation and Application Design 17
18. Continuous Workflow Director
CWfs require continuous execution of the actors
Stream data are events in time. Require timestamps
CWf director:
Extends the PN director
Add timestamps on events using TimeKeeper on each
actor.
Add Window Operators on buffer queues (receivers)
CONFLuEnCE: Implementation and Application Design 18
19. Windowed Receiver
Kepler extension to support window semantics
CWF Director
I/O Ports
Producer Consumer
windowed
receiver
CONFLuEnCE: Implementation and Application Design 19
20. Push Communication
Implemented JSON WebSocket Server Actor (Out->In)
Listens to predefined port
Converts JSON objects to RecordToken(s)
Enables continuous connectivity with web-browsers
Implemented HTTP Socket Stream Source Actor (In->Out)
Connects directly to an HTTP stream source (e.g., twitter) and
receives data continuously
Implemented the hybrid approach using PubSubHubbub
[http://code.google.com/apis/pubsubhubbub/]
CONFLuEnCE: Implementation and Application Design 20
24. Astroshelf
A collaboration platform for astrophysicists
Annotate sky objects and events.
CONFLuEnCE: Live annotations & Integration.
Astroshelf team:
• Liz Marai
• Timothy Luciani
• Rebecca Hachey
• Roxana Gheorghiu
• Boyu Sun
Astronomers:
• Arthur Kosowsky
• Jeffrey Newman
• Michael Wood-
Vasley
• Brian Cherinca
CONFLuEnCE: Implementation and Application Design • Anja Weyant 24
25. Astroshelf
CONFLuEnCE: Implementation and Application Design 25
26. Conclusions
The Continuous Workflow model
Foundation for CONFLuEnCE
CONtinuous workFLow ExeCution Engine
Built on top of Kepler
Includes a new director, windowed receiver and, source
actors enabling Push communication.
Two Monitoring and Collaborative Application
implementations.
Future: Design a director, which implements
scheduling, sensitive to QoS requirements.
CONFLuEnCE: Implementation and Application Design 26
27. Supported by NSF grants: IIS-0534531 and OIA-1028162
http://db.cs.pitt.edu/group/projects/confluence
http://db.cs.pitt.edu/group/projects/astroshelf
Special thanks to:
Astroshelf team: Astronomy
collaborators:
• Liz Marai,
• Arthur Kosowsky,
• Timothy Luciani, • Jeffrey Newman,
• Rebecca Hachey, • Michael Wood-
• Roxana Gheorghiu Vasley,
• Brian Cherinca,
• Anja Weyant.
CONFLuEnCE: Implementation and Application Design 27
28. Conclusions
The Continuous Workflow model
Foundation for CONFLuEnCE
CONtinuous workFLow ExeCution Engine
Built on top of Kepler
Includes a new director, windowed receiver and, source
actors enabling Push communication.
Two Monitoring and Collaborative Application
implementations.
Future: Design a director, which implements
scheduling, sensitive to QoS requirements.
http://db.cs.pitt.edu/group/projects/confluence
http://db.cs.pitt.edu/group/projects/astroshelf
28
29. Workflows vs. DSMS vs. CWfs
DSMS CWfs WFs
Static
configuration Flexibility
QoS/QoD General purpose
driven
Declarative &
Stream
Procedural
processing
Human
integration
Declarative Feedback
Loops
CONFLuEnCE: Implementation and Application Design 29
Editor's Notes
Support provenance: which is keeping track of processing and intermediate results
Unfortunately current workflows cannot support the new data types. What I’m referring to is data produced by stock price updates, sensors etcand also the current workflow model cannot integrate DSMSIf we rely on the existing model of polling data sources, we are missing updates and have blocking operations which are insufficient for this type of computation.What we envision is a workflow model where streaming sources feed the workflow with data in various input points.
Our approach to supporting data stream processing for enablingmonitoring and collaborative applications is [click] CONFLUENCEInterestingly this project first introduced in collaborate com in 2008 where I unveiled our model, right here in Orlando.Since then we have implemented confluence by developing new workflow constructs, a new model of computation and have demoed our prototype in SIGMOD 2011.-- And in fact in this presentation I will share with you my experience in implementing this prototype.
Following, I will describe 3 key constructs of the continuous workflow modelSome implementation detailsAnd present two representative apps from the business and scientific domains
Additionally a group-by clause can be defined on a windowed queue. Besides support of the standard group-by on simple data types we also support complexIn this case you need to specify what needs to be used as grouping element.
Finally a key requirement in enabling stream processing is the ability for workflows to receive push updates.We enable it using three techniques.Firstly from inside the workflow going out.
And now I’ll present details of how the key continuous workflow constructs were implemented.
In summary, confluence is built in Java on top of Kepler.We chose Kepler because of openness and wide deployment.It’s based upon PtelemyIIAnd it provides a wide range of basic as well as specialized actors.And workflows are composed using a high level visual language.
Each task in Kepler is modeled as an actor, defined with input and output ports to consume and produce data tokens.Effectively this is the visual interface.
Actors are interconnected in the workflow using channels.
And some complex actors can be composed by other actors, and are classified as sub-workflows forming hierarchies.
The execution and communication semantics are facilitated by an entity called the director.It executes the workflow using a scheduleand since directors define the communication and execution semantics, an actor configuration can be reused with a different director thus exhibiting different behavior.
Kepler provides a variety of directors but none of them meets the requirements of the continuous workflow model.
…so we have developed our own director which enables the continuous execution of actors by running each one in a separate thread (much like the PN director), --adds timestamps to events-- and adds the window operator to the input queues of actors as a new type of receiver.
The receivers are objects contained inside the input ports of any actor.We have also made modifications to the port configuration dialogue box to define the size and step of windows, delete_used_token, as well as the the group-by flag and expression.
Supporting push communications meant implementing new workflow data source actors:JSON:Javascript object notation
Two representative applications from the business and science domains
Here is the Kepler interface which defines the workflow.Only implemented the source actors. Everything else is off-the-shelf actors.
Our second example is from the scientific domain. It’s development was driven by real astronomer’s.
Astroshelf is the source of events and the feedback panel. Annotations engine records the meta-data.Confluence completes the feedback loop by processing the events and producing new meta-data.At this point our collaborators are considering to test this prototype in a classroom setting.Details of these interactions are described in the paper.
-- turns our Kepler has proven to be a good choice, that allowed us to realize our model within a reasonable time and without unnecessary complexity.--that allowed us to show the usability of our model
TODO: add pictures and animateB2B enables dynamic interactions by interpolating internal and external applicationsEstablish Virtual EnterprisesMiddleware infrastructure: “the Grid”Seamlessly bring together the power of resources to the desktop.