PowerDesigner is a modeling tool that can be used to model various aspects of an enterprise data management system. It allows users to create conceptual data models, logical data models, physical data models, data movement models, and more. The presentation discussed how PowerDesigner can be used to model the migration of an OLTP database to a data warehouse, including reverse engineering the source database, generating models for the data warehouse, defining transformations, and generating scripts to move data. It concluded that PowerDesigner and a model-driven approach can accelerate development and increase productivity for data warehouse projects.
In a joint effort, the Brown County Planning Commission/MPO and Green Bay Metro created an online transit routing application that is powered by Google Maps. This application gives users the ability to search Green Bay Metro's existing transit routes, bus stops, and pick-up times to help plan bus trips from beginning to end using the internet or mobile technologies. The Brown County Planning Commission developed the Google
Transit Feeds (GTF) based on Google’s specifications by
incorporating tables and geospatial data within its existing
transportation geodatabase schema. The GTF was developed using GPS, ArcMap, ArcSDE, SQL Server, DTS, and Google Transit open source software. The Brown County Planning Commission/MPO GTF presentation will provide information on
how to get started in developing the GTF, advantages,
disadvantages, future obstacles, and lessons learned throughout the Google Transit development experience. A live demo of the application will be shown following the presentation.
Crash Introduction to Modern Java Data Access: Understanding JPA, Hibernate, ...Vladimir Bacvanski, PhD
This document summarizes a presentation on modern Java data access options. It introduces JDBC, object-relational mapping with JPA and Hibernate, MyBatis, and the pureQuery framework. The presentation outlines the benefits and drawbacks of each approach and how they map objects to databases. It also demonstrates code examples and the Optim Development Studio IDE for pureQuery.
The DEVS-Driven Modeling Language: Syntax and Semantics Definition by Meta-Mo...Daniele Gianni
Presentation at the 2nd International Workshop on Model-driven Approaches for Simulation Engineering
(held within the SCS/IEEE Symposium on Theory of Modeling and Simulation part of SpringSim 2012)
Please see: http://www.sel.uniroma2.it/mod4sim12/ for further details
The document discusses cost effectiveness analysis for maintainable products. It defines cost effectiveness as the ratio of successful missions to life cycle cost. It describes key parameters related to cost effectiveness including reliability, operational availability, and life cycle cost. Reliability is modeled using the Weibull distribution. Operational availability accounts for all downtime including maintenance. Life cycle cost includes development, investment, and operating costs. The cost effectiveness equation can be used to compare past, present, and future systems to understand trade-offs between number of successful missions and total cost.
Cloud computing is often referred to as a technology. However, it is actually a significant shift in the business and economic models for provisioning and consuming information technology (IT) that can lead to a significant cost savings.
Form 6781- Gains and Losses From Section 1256 Contracts and Straddles taxman taxman
This document is an IRS Form 6781 for reporting gains and losses from section 1256 contracts and straddle positions. It contains instructions for summarizing results from section 1256 contracts that are subject to mark-to-market rules, and for reporting gains and losses from straddle positions. The form has sections to make elections for mixed straddles, straddle-by-straddle identification, and carrying back net section 1256 contracts losses to prior tax years.
The document discusses proposed music and audio workflows including archival, supported, and generic workflows. It shows diagrams of the workflows which involve adding files and metadata, converting file formats, and grouping the files and metadata into a structured archive. It also proposes a new interface for submitting audio resources that allows selecting and labeling multiple related files.
PowerDesigner is a modeling tool that can be used to model various aspects of an enterprise data management system. It allows users to create conceptual data models, logical data models, physical data models, data movement models, and more. The presentation discussed how PowerDesigner can be used to model the migration of an OLTP database to a data warehouse, including reverse engineering the source database, generating models for the data warehouse, defining transformations, and generating scripts to move data. It concluded that PowerDesigner and a model-driven approach can accelerate development and increase productivity for data warehouse projects.
In a joint effort, the Brown County Planning Commission/MPO and Green Bay Metro created an online transit routing application that is powered by Google Maps. This application gives users the ability to search Green Bay Metro's existing transit routes, bus stops, and pick-up times to help plan bus trips from beginning to end using the internet or mobile technologies. The Brown County Planning Commission developed the Google
Transit Feeds (GTF) based on Google’s specifications by
incorporating tables and geospatial data within its existing
transportation geodatabase schema. The GTF was developed using GPS, ArcMap, ArcSDE, SQL Server, DTS, and Google Transit open source software. The Brown County Planning Commission/MPO GTF presentation will provide information on
how to get started in developing the GTF, advantages,
disadvantages, future obstacles, and lessons learned throughout the Google Transit development experience. A live demo of the application will be shown following the presentation.
Crash Introduction to Modern Java Data Access: Understanding JPA, Hibernate, ...Vladimir Bacvanski, PhD
This document summarizes a presentation on modern Java data access options. It introduces JDBC, object-relational mapping with JPA and Hibernate, MyBatis, and the pureQuery framework. The presentation outlines the benefits and drawbacks of each approach and how they map objects to databases. It also demonstrates code examples and the Optim Development Studio IDE for pureQuery.
The DEVS-Driven Modeling Language: Syntax and Semantics Definition by Meta-Mo...Daniele Gianni
Presentation at the 2nd International Workshop on Model-driven Approaches for Simulation Engineering
(held within the SCS/IEEE Symposium on Theory of Modeling and Simulation part of SpringSim 2012)
Please see: http://www.sel.uniroma2.it/mod4sim12/ for further details
The document discusses cost effectiveness analysis for maintainable products. It defines cost effectiveness as the ratio of successful missions to life cycle cost. It describes key parameters related to cost effectiveness including reliability, operational availability, and life cycle cost. Reliability is modeled using the Weibull distribution. Operational availability accounts for all downtime including maintenance. Life cycle cost includes development, investment, and operating costs. The cost effectiveness equation can be used to compare past, present, and future systems to understand trade-offs between number of successful missions and total cost.
Cloud computing is often referred to as a technology. However, it is actually a significant shift in the business and economic models for provisioning and consuming information technology (IT) that can lead to a significant cost savings.
Form 6781- Gains and Losses From Section 1256 Contracts and Straddles taxman taxman
This document is an IRS Form 6781 for reporting gains and losses from section 1256 contracts and straddle positions. It contains instructions for summarizing results from section 1256 contracts that are subject to mark-to-market rules, and for reporting gains and losses from straddle positions. The form has sections to make elections for mixed straddles, straddle-by-straddle identification, and carrying back net section 1256 contracts losses to prior tax years.
The document discusses proposed music and audio workflows including archival, supported, and generic workflows. It shows diagrams of the workflows which involve adding files and metadata, converting file formats, and grouping the files and metadata into a structured archive. It also proposes a new interface for submitting audio resources that allows selecting and labeling multiple related files.
This document provides a high-level overview of key components in telecom OSS/BSS systems. It discusses general concepts like numbering plans and call scenarios. It then summarizes the main components, including data collection, mediation, billing, SS7 monitoring, revenue assurance, and fulfillment/provisioning. The document provides brief explanations of the purpose and processes within each component.
Client/server computing is an architecture where thin client machines make requests to centralized servers for applications and data. A basic definition is that a client makes a request for data from a server, which then returns the results. The major focus in client/server systems is on software, with most application processing done on the client side and services like databases accessed from the server side. Common types of servers include file servers, data servers, compute servers, database servers, and communication servers.
Kakfa summit london 2019 - the art of the event-streaming appNeil Avery
Have you ever imagined what it would be like to build a massively scalable streaming application on Kafka, the challenges, the patterns and the thought process involved? How much of the application can be reused? What patterns will you discover? How does it all fit together? Depending upon your use case and business, this can mean many things. Starting out with a data pipeline is one thing, but evolving into a company-wide real-time application that is business critical and entirely dependent upon a streaming platform is a giant leap. Large-scale streaming applications are also called event streaming applications. They are classically different from other data systems; event streaming applications are viewed as a series of interconnected streams that are topologically defined using stream processors; they hold state that models your use case as events. Almost like a deconstructed real-time database.
In this talk, I step through the origins of event streaming systems, understanding how they are developed from raw events to evolve into something that can be adopted at an organizational scale. I start with event-first thinking, Domain Driven Design to build data models that work with the fundamentals of Streams, Kafka Streams, KSQL and Serverless (FaaS).
Building upon this, I explain how to build common business functionality by stepping through the patterns for: – Scalable payment processing – Run it on rails: Instrumentation and monitoring – Control flow patterns Finally, all of these concepts are combined in a solution architecture that can be used at an enterprise scale. I will introduce enterprise patterns such as events-as-a-backbone, events as APIs and methods for governance and self-service. You will leave talk with an understanding of how to model events with event-first thinking, how to work towards reusable streaming patterns and most importantly, how it all fits together at scale.
The Art of The Event Streaming Application: Streams, Stream Processors and Sc...confluent
1) The document discusses the art of building event streaming applications using various techniques like bounded contexts, stream processors, and architectural pillars.
2) Key aspects include modeling the application as a collection of loosely coupled bounded contexts, handling state using Kafka Streams, and building reusable stream processing patterns for instrumentation.
3) Composition patterns involve choreographing and orchestrating interactions between bounded contexts to capture business workflows and functions as event-driven data flows.
The document presents a semantic approach called SETS (Semantic eTendering System) for evaluating offers in electronic tendering (eTendering) systems. It discusses problems with current non-semantic eTendering evaluation and proposes using semantic web technologies like ontologies, RDF, and SBVR (Semantics of Business Vocabulary and Business Rules) to formally represent tender offers and requirements to enable automated semantic evaluation and ranking of offers. The SETS model, architecture, operational model, and mathematical model are described for performing this semantic evaluation of tender offers in eTendering systems.
This document proposes a generic data model for storing and sharing process models across different modeling languages in a process model repository. It defines a generic process description that captures the common elements and relationships between elements across languages. A partial data model is generated from the generic description and mapping specifications define how each language maps to the generic model. Process models can then be stored and retrieved by converting them to and from the generic representation. This approach allows process models to be shared and reused independent of the original modeling language.
There are four basic elements of data flow diagrams: data transforms, information sources and sinks, information stores, and information flows. Data transforms represent processes, sources and sinks represent inputs and outputs, stores represent data storage, and flows represent the movement of data. Data flow diagrams are refined by decomposing transforms into more detail. Heritage numbers are used to identify the hierarchical relationships between diagrams. A data dictionary defines the data elements. Structure charts show the control flow and relationships between processes represented in data flow diagrams.
Slash n: Tech Talk Track 2 – Distributed Transactions in SOA - Yogi Kulkarni,...slashn
This document discusses challenges in maintaining data consistency in a distributed system with multiple services and databases. It describes three approaches to handling distributed transactions: XA transactions using two-phase commit, stateless queued transactions, and stateful queued transactions. The document then details how the authors' company implemented stateless queued transactions using a messaging system called Restbus to ensure data consistency across their 20 microservices supply chain platform.
Python business intelligence (PyData 2012 talk)Stefan Urbanek
What is the state of business intelligence tools in Python in 2012? How Python is used for data processing and analysis? Different approaches for business data and scientific data.
Video: https://vimeo.com/53063944
A SIPOC diagram identifies all elements of a process improvement project before work begins. It helps define the scope of a complex project by answering questions about where the process starts and ends, its major steps, inputs and outputs, key customers and suppliers, and customer requirements. The diagram provides a deep understanding of the current process. It typically includes suppliers, inputs, process steps, outputs, and customers. Metrics may also be included to define quality, time, and cost of inputs, processes, and outputs. The diagram helps scope and plan a process improvement project.
Overcoming the Top Four Challenges to Real‐Time Performance in Large‐Scale, D...SL Corporation
The most critical large-scale applications today, regardless of industry, involve a demand for real-time data transfer and visualization of potentially large volumes of data. With this demand comes numerous challenges and limiting factors, especially if these applications are deployed in virtual or cloud environments. Attend this session and learn how to overcome the top four challenges to real-time application performance: database performance, network data transfer bandwidth limitations, processor performance and lack of real-time predictability. Solutions discussed will include design of the proper data model for the application data, along with design patterns that facilitate optimal and minimal data transfer across networks.
This document discusses various SOA patterns for addressing common challenges in service-oriented architectures, such as service availability, flexibility, management, reporting, and multi-tenancy. It describes patterns like parallel pipelines, inversion of communications, orchestration, sagas, aggregated reporting, and reservation that can help mitigate these challenges by distributing requests, decoupling services, coordinating workflows, collecting data from multiple sources, and allocating shared resources.
The document discusses various topics related to programming languages and frameworks including C, C++, Java, Android, HTML5, CSS3, and jQuery. It provides an overview of key concepts for each topic like data types, operators, object oriented programming, classes, inheritance, packages, exceptions, arrays, strings, collection frameworks, activities, intents, UI design, styles and themes, content providers, notifications, threads, and more. It also lists common elements, functions, and properties for languages like semantic elements and form elements in HTML5, borders and backgrounds in CSS3, and selecting and filtering content with jQuery.
Android is a product stage created by Google they move in the direction of making applications which can be effectively got to on handsets or cell phones, cell phones additionally are enhancing their highlights step by step to stay aware of the applications being created. Android classes in Pune train their understudies how to make new applications utilizing Android and also creating Android as a programming.
The document provides an agenda and overview for a presentation on data access layer patterns and options. It discusses considerations for keeping data entities consistent or managing differences between objects and schemas. It also covers common patterns for each approach, including row and table data gateways, active record, domain models, data mappers, repositories, and unit of work. The presentation will assess data access technologies and discuss additional challenges like domain model responsibilities. Attendees can contact the presenter with any other questions.
This document proposes an approach called RDB that can render databases intrusion resilient by tracking transaction dependencies and enabling selective transaction rollback. It discusses challenges in determining which transactions were malicious after a compromise and repairing databases. RDB inserts a proxy that intercepts SQL statements to track dependencies by adding transaction IDs to rows and logs. It then analyzes logs to reconstruct dependencies and generate compensating transactions to selectively rollback malicious transactions and repair the database. Experiments show the proxy overhead is between 6-13% for typical loads.
The document discusses software design patterns for distributed applications. It begins with introductions and definitions of patterns, then discusses specific patterns like Table Module, Table Data Gateway, and Active Record that address problems like representing business entities, data access, and application distribution. The document also provides examples of applying these patterns to a revenue recognition problem domain.
The document discusses software design patterns for distributed applications. It introduces common patterns like Model-View-Controller (MVC), layers (presentation, business, data), and data access patterns (table data gateway, active record). It also provides examples of applying these patterns to problems like representing business entities and data, handling distributed transactions, and implementing specific business logic like revenue recognition. The goal of patterns is to provide reusable solutions to common problems in software architecture and design.
Event-driven architecture (EDA) is a software architecture pattern promoting the production, detection, consumption of, and reaction to events.
This architectural pattern may be applied by the design and implementation of applications and systems which transmit events among loosely coupled software components and services.
In this session you’ll learn how to create a loosely coupled architecture for your business that has the domain at the core. You’ll learn the basics of EDA, and also learn how we are transforming our architecture at Unibet.com to become event driven, and what benefits it will bring to our business. The session will cover technologies such as JMS, XML, JSON, Google Protocol Buffers, ActiveMQ and Spring.
Defence: A multi-dimensional compositional approach for business process (sem...Ang Chen
This document proposes a multi-dimensional compositional approach for modeling business processes. It discusses several key dimensions for business process modeling including control flow, data model, and transactions. It introduces ID-nets as a formal notation for separating control flow and data dimensions. ID-nets allow dynamic synchronization between control flow and data. The document argues its approach provides contributions such as a synchronization mechanism for composing different dimensions and a formal notation (ID-nets) that separates control flow from data model while allowing their dynamic synchronization. It provides examples of how ID-nets can be used to model control flow, data, and transactions in business processes.
A Multi-Dimensional Compositional Approach for Business Process EngineeringAng Chen
This document is the thesis of Ang Chen submitted to the University of Geneva to obtain a Doctor of Science degree in computer science. The thesis proposes a multi-dimensional compositional approach for business process engineering using Concurrent Object-Oriented Petri Nets (CO-OPN). CO-OPN is a modeling language that can be used to model business processes and long-lasting transactional processes. It also allows generating prototypes from models. The thesis further presents ID-Net, an extension of Petri nets that supports data and encapsulation. ID-Net can be used to model complex systems in a modular way and its properties can be formally verified. Several case studies are discussed to demonstrate applying the proposed approaches to real-world problems
This document provides a high-level overview of key components in telecom OSS/BSS systems. It discusses general concepts like numbering plans and call scenarios. It then summarizes the main components, including data collection, mediation, billing, SS7 monitoring, revenue assurance, and fulfillment/provisioning. The document provides brief explanations of the purpose and processes within each component.
Client/server computing is an architecture where thin client machines make requests to centralized servers for applications and data. A basic definition is that a client makes a request for data from a server, which then returns the results. The major focus in client/server systems is on software, with most application processing done on the client side and services like databases accessed from the server side. Common types of servers include file servers, data servers, compute servers, database servers, and communication servers.
Kakfa summit london 2019 - the art of the event-streaming appNeil Avery
Have you ever imagined what it would be like to build a massively scalable streaming application on Kafka, the challenges, the patterns and the thought process involved? How much of the application can be reused? What patterns will you discover? How does it all fit together? Depending upon your use case and business, this can mean many things. Starting out with a data pipeline is one thing, but evolving into a company-wide real-time application that is business critical and entirely dependent upon a streaming platform is a giant leap. Large-scale streaming applications are also called event streaming applications. They are classically different from other data systems; event streaming applications are viewed as a series of interconnected streams that are topologically defined using stream processors; they hold state that models your use case as events. Almost like a deconstructed real-time database.
In this talk, I step through the origins of event streaming systems, understanding how they are developed from raw events to evolve into something that can be adopted at an organizational scale. I start with event-first thinking, Domain Driven Design to build data models that work with the fundamentals of Streams, Kafka Streams, KSQL and Serverless (FaaS).
Building upon this, I explain how to build common business functionality by stepping through the patterns for: – Scalable payment processing – Run it on rails: Instrumentation and monitoring – Control flow patterns Finally, all of these concepts are combined in a solution architecture that can be used at an enterprise scale. I will introduce enterprise patterns such as events-as-a-backbone, events as APIs and methods for governance and self-service. You will leave talk with an understanding of how to model events with event-first thinking, how to work towards reusable streaming patterns and most importantly, how it all fits together at scale.
The Art of The Event Streaming Application: Streams, Stream Processors and Sc...confluent
1) The document discusses the art of building event streaming applications using various techniques like bounded contexts, stream processors, and architectural pillars.
2) Key aspects include modeling the application as a collection of loosely coupled bounded contexts, handling state using Kafka Streams, and building reusable stream processing patterns for instrumentation.
3) Composition patterns involve choreographing and orchestrating interactions between bounded contexts to capture business workflows and functions as event-driven data flows.
The document presents a semantic approach called SETS (Semantic eTendering System) for evaluating offers in electronic tendering (eTendering) systems. It discusses problems with current non-semantic eTendering evaluation and proposes using semantic web technologies like ontologies, RDF, and SBVR (Semantics of Business Vocabulary and Business Rules) to formally represent tender offers and requirements to enable automated semantic evaluation and ranking of offers. The SETS model, architecture, operational model, and mathematical model are described for performing this semantic evaluation of tender offers in eTendering systems.
This document proposes a generic data model for storing and sharing process models across different modeling languages in a process model repository. It defines a generic process description that captures the common elements and relationships between elements across languages. A partial data model is generated from the generic description and mapping specifications define how each language maps to the generic model. Process models can then be stored and retrieved by converting them to and from the generic representation. This approach allows process models to be shared and reused independent of the original modeling language.
There are four basic elements of data flow diagrams: data transforms, information sources and sinks, information stores, and information flows. Data transforms represent processes, sources and sinks represent inputs and outputs, stores represent data storage, and flows represent the movement of data. Data flow diagrams are refined by decomposing transforms into more detail. Heritage numbers are used to identify the hierarchical relationships between diagrams. A data dictionary defines the data elements. Structure charts show the control flow and relationships between processes represented in data flow diagrams.
Slash n: Tech Talk Track 2 – Distributed Transactions in SOA - Yogi Kulkarni,...slashn
This document discusses challenges in maintaining data consistency in a distributed system with multiple services and databases. It describes three approaches to handling distributed transactions: XA transactions using two-phase commit, stateless queued transactions, and stateful queued transactions. The document then details how the authors' company implemented stateless queued transactions using a messaging system called Restbus to ensure data consistency across their 20 microservices supply chain platform.
Python business intelligence (PyData 2012 talk)Stefan Urbanek
What is the state of business intelligence tools in Python in 2012? How Python is used for data processing and analysis? Different approaches for business data and scientific data.
Video: https://vimeo.com/53063944
A SIPOC diagram identifies all elements of a process improvement project before work begins. It helps define the scope of a complex project by answering questions about where the process starts and ends, its major steps, inputs and outputs, key customers and suppliers, and customer requirements. The diagram provides a deep understanding of the current process. It typically includes suppliers, inputs, process steps, outputs, and customers. Metrics may also be included to define quality, time, and cost of inputs, processes, and outputs. The diagram helps scope and plan a process improvement project.
Overcoming the Top Four Challenges to Real‐Time Performance in Large‐Scale, D...SL Corporation
The most critical large-scale applications today, regardless of industry, involve a demand for real-time data transfer and visualization of potentially large volumes of data. With this demand comes numerous challenges and limiting factors, especially if these applications are deployed in virtual or cloud environments. Attend this session and learn how to overcome the top four challenges to real-time application performance: database performance, network data transfer bandwidth limitations, processor performance and lack of real-time predictability. Solutions discussed will include design of the proper data model for the application data, along with design patterns that facilitate optimal and minimal data transfer across networks.
This document discusses various SOA patterns for addressing common challenges in service-oriented architectures, such as service availability, flexibility, management, reporting, and multi-tenancy. It describes patterns like parallel pipelines, inversion of communications, orchestration, sagas, aggregated reporting, and reservation that can help mitigate these challenges by distributing requests, decoupling services, coordinating workflows, collecting data from multiple sources, and allocating shared resources.
The document discusses various topics related to programming languages and frameworks including C, C++, Java, Android, HTML5, CSS3, and jQuery. It provides an overview of key concepts for each topic like data types, operators, object oriented programming, classes, inheritance, packages, exceptions, arrays, strings, collection frameworks, activities, intents, UI design, styles and themes, content providers, notifications, threads, and more. It also lists common elements, functions, and properties for languages like semantic elements and form elements in HTML5, borders and backgrounds in CSS3, and selecting and filtering content with jQuery.
Android is a product stage created by Google they move in the direction of making applications which can be effectively got to on handsets or cell phones, cell phones additionally are enhancing their highlights step by step to stay aware of the applications being created. Android classes in Pune train their understudies how to make new applications utilizing Android and also creating Android as a programming.
The document provides an agenda and overview for a presentation on data access layer patterns and options. It discusses considerations for keeping data entities consistent or managing differences between objects and schemas. It also covers common patterns for each approach, including row and table data gateways, active record, domain models, data mappers, repositories, and unit of work. The presentation will assess data access technologies and discuss additional challenges like domain model responsibilities. Attendees can contact the presenter with any other questions.
This document proposes an approach called RDB that can render databases intrusion resilient by tracking transaction dependencies and enabling selective transaction rollback. It discusses challenges in determining which transactions were malicious after a compromise and repairing databases. RDB inserts a proxy that intercepts SQL statements to track dependencies by adding transaction IDs to rows and logs. It then analyzes logs to reconstruct dependencies and generate compensating transactions to selectively rollback malicious transactions and repair the database. Experiments show the proxy overhead is between 6-13% for typical loads.
The document discusses software design patterns for distributed applications. It begins with introductions and definitions of patterns, then discusses specific patterns like Table Module, Table Data Gateway, and Active Record that address problems like representing business entities, data access, and application distribution. The document also provides examples of applying these patterns to a revenue recognition problem domain.
The document discusses software design patterns for distributed applications. It introduces common patterns like Model-View-Controller (MVC), layers (presentation, business, data), and data access patterns (table data gateway, active record). It also provides examples of applying these patterns to problems like representing business entities and data, handling distributed transactions, and implementing specific business logic like revenue recognition. The goal of patterns is to provide reusable solutions to common problems in software architecture and design.
Event-driven architecture (EDA) is a software architecture pattern promoting the production, detection, consumption of, and reaction to events.
This architectural pattern may be applied by the design and implementation of applications and systems which transmit events among loosely coupled software components and services.
In this session you’ll learn how to create a loosely coupled architecture for your business that has the domain at the core. You’ll learn the basics of EDA, and also learn how we are transforming our architecture at Unibet.com to become event driven, and what benefits it will bring to our business. The session will cover technologies such as JMS, XML, JSON, Google Protocol Buffers, ActiveMQ and Spring.
Defence: A multi-dimensional compositional approach for business process (sem...Ang Chen
This document proposes a multi-dimensional compositional approach for modeling business processes. It discusses several key dimensions for business process modeling including control flow, data model, and transactions. It introduces ID-nets as a formal notation for separating control flow and data dimensions. ID-nets allow dynamic synchronization between control flow and data. The document argues its approach provides contributions such as a synchronization mechanism for composing different dimensions and a formal notation (ID-nets) that separates control flow from data model while allowing their dynamic synchronization. It provides examples of how ID-nets can be used to model control flow, data, and transactions in business processes.
A Multi-Dimensional Compositional Approach for Business Process EngineeringAng Chen
This document is the thesis of Ang Chen submitted to the University of Geneva to obtain a Doctor of Science degree in computer science. The thesis proposes a multi-dimensional compositional approach for business process engineering using Concurrent Object-Oriented Petri Nets (CO-OPN). CO-OPN is a modeling language that can be used to model business processes and long-lasting transactional processes. It also allows generating prototypes from models. The thesis further presents ID-Net, an extension of Petri nets that supports data and encapsulation. ID-Net can be used to model complex systems in a modular way and its properties can be formally verified. Several case studies are discussed to demonstrate applying the proposed approaches to real-world problems
A Proposition for Business Process ModelingAng Chen
The document proposes a graphical notation called BPMN+ for modeling business processes. It aims to be graphical and easy to use while also having formal semantics and being operational/executable. Key goals include being expressive, capable of distributed programming, and compatible with the existing BPMN standard. The notation is based on a Service Component Model and uses concepts like services, properties, and concurrent data objects. It also defines synchronization patterns like simultaneous, sequence, and alternative to model relationships between process steps.
The document provides an overview of HTTP, CGI, servlets, JSPs, and AJAX. It describes how HTTP works for client-server communication. It explains how CGI was used for web server and application integration but had performance and manageability issues. It introduces the servlet/JSP model and web application container as an improved approach. It also gives a brief introduction to using AJAX.
Semantics (requirements) of Business ProcessAng Chen
Discuss the semantics requirements of business process, mainly for the modeling of control-flow, dataflow, and transaction in business process modeling
This document provides an overview of business process modeling. It defines business processes in both real-world and IT domains. Common business process examples are also given. For process modeling, it discusses approaches like Petri nets and BPEL. It also covers modeling concepts like the Entity-Relationship model and properties of valid process models like being sound and deadlock-free.
Java Code Generation from Formal Models: The CO-OPN FrameworkAng Chen
This document presents a framework for generating Java code from formal models. It discusses managing concurrency with Petri nets, modeling transactional systems with Concurrent Object-Oriented Petri Nets (CO-OPN), and the CO-OPN code generation framework. The tutorial aims to demonstrate the advantages of model-based development using formal models like Petri nets, including precise semantics, platform independence, and automatic model checking, testing and code generation.
The document discusses business process modeling and composition using ID-Net. ID-Net is a Petri net extension that uses identifiers (IDs) as tokens to represent resources. IDs allow symbolic representation of resources in models and identification of concrete resources during implementation. The semantics of ID-Net transitions can be extended by composing other models. This allows modeling control flow and data manipulation together and developing business processes iteratively through model reconciliation and executable workflow composition.
How to Make a Field Mandatory in Odoo 17Celine George
In Odoo, making a field required can be done through both Python code and XML views. When you set the required attribute to True in Python code, it makes the field required across all views where it's used. Conversely, when you set the required attribute in XML views, it makes the field required only in the context of that particular view.
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
This document provides an overview of wound healing, its functions, stages, mechanisms, factors affecting it, and complications.
A wound is a break in the integrity of the skin or tissues, which may be associated with disruption of the structure and function.
Healing is the body’s response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
3. Context
Process-Oriented System in Service-Oriented Architecture
Domain Specific Languages (DSL)
Expressive Power, formal semantics
Semantics Basis: e.g. logic, Petri Nets, Register
Complexity of Verification
4. Prototyping: Target Environment
Environment
Distributed Systems (may be embedded)
Service Oriented Architecture (SOA)
Web Service, XML
Grid Computing
Target Languages: Java, .NET, BPEL (Business Process Execution
Language) etc.
9. Principe of BPM
Affect the software development process
Separate the development of
Business Processes and
Business Process Management System
Business Processes: The softwares to be developed
BPMS: The infrastructure
11. COOPN
Fire
Concurrent
ph_
Object-Oriented in1_:H
po_ out_:H2O
Petri Nets in2_:O
this=Self::Fire With this.out water::
H, O, H2O are Algebraic
ph h1, ph h1, po o1 ->
Abstract Data Types
variables
water is a value (generator)
h1,h2: H
of ADT H2O o1: O
12. COOPN Elements
Token ADT black token: @ place/transition nets
data ADTs: boolean, natural etc.
container ADTs: pair, list etc. colored Petri nets
ADTs
Objects
object nets
Object object reference reference nets
mobility of objects
Place Context
Transaction
Method Gate
can be contains
13. Algebraic Abstract Data Type
Generic Abstract Adt ListStructure(Elem);
...
Immutable entities Interface
Generators
Use generator and axiomatic [] : -> list;
_ ' _ : elem, list -> list;
rules to construct data type _ | _ : list, list -> list;
;; Specific elements
Axioms can be used to infer Operations
head _ : list -> elem;
properties on data, e.g. tail _ : list -> list;
commutativity and pick _ from _ : natural, list -> list;
drop _ from _ : natural, list -> list;
associativity rules reverse _ : list -> list;
...
End ListStructure;
14. COOPN: Transactions
T1, T2 ∈Trans, where Trans is the set
ACID Transactions of transactions in a COOPN system
with different rules Composition:
T1 With T2 ∈Trans
Parallel: //
Sequential: .. T1 // T2 ∈Trans
Alternative: | T1 .. T2 ∈Trans
T1 | T2 ∈Trans
15. COOPN: Overview
Declarative, formal specification based on Petri Net semantics
State computation uses logical inference
Forward chaining: firing transitions
Backtracking: transaction resolution
Separation of Data and Behavior
Context coordination, Transaction semantics
18. E-Shop: Service View I
Client
Acquisition Stock Admin Acquisition Stock Admin
Providers Sale CRM Sale CRM
Delivery Finance Banking Delivery Finance Banking
Sub-systems are connected via services
19. E-Shop: Service View II
Sale department
provides three
Sale •Order(...)
services to clients • Return(...) client
Department
•Query(...)
Each process is a service for clients
20. E-Shop: Service View III
client
Execution
Order Return Query process
environment: SOA deployment
process
The underlying BPMS execution
systems provide services
enactment
services to business interactions
process management Sale Stock CRM etc.
Underlying
systems
system
22. Patterns of control flow
A B B
sequence A MUL
C
B Multi-Choice
A AND
A
C
AND split DIS C
B
B
Discriminator
A XOR
C B
XOR Split
A A start C end E
AND C
B D
AND join
Interleaved parallel routing
A
B
XOR C
A XOR AND D
B
XOR join C
XOR Split AND join
process not well-formed
23. E-Shop: Control-Flow View
Activity : Payment by Credit Card
Check credit card
activity <id,accepted>
<id,payment>
XOR-SPLIT
<id,rejected>
order
request response
Payment Stock Delivery
Credit Card Checking
Process or Web Service
Send Money
Return RMA
Material Back
Query
RMA: Return Materials Authorization
24. Data Modeling
Implement XML algebra with ADT
Define data types representing XML structure: tree, set,
elements, attributes.
Operations on the data: add, modify, remove elements or
attributes
Operation on the structure: schema algebra and validation
25. E-Shop: Data View
Client ID
Payment Product IDs Shipping ID
Order Paid Shipping Shipped
Return
Request
Returned
state change used by (data dependence)
Can be modeled by Colored tokens, Automate, XML algebra
27. Process Verification
Advantages of formal and Petri nets based semantics
High-level properties can be mapped into Petri Nets properties
Several techniques are possibles: model checking, automatic test
generation, simulation.
28. Properties of Petri Nets
Liveness: of PN, of an initial marking
Deadlock free: of PN, of an initial marking
Soundness
29. Properties of BP
A BP instance FINALLY terminates (absence of deadlock in PN):
valid input tokens will FINALLY arrive the ending state. Multiple
ending states can exist in a BP definition.
30. Properties of BP
If a BP instance terminates, there should be no hanging tasks
for this instance (soundness): no dead tokens.
31. Properties of BP
When several BPs are connected, no cycle dependence should
exist.
E.g. to get a job, you must have work experiences; to have
work experiences, you must get a job.
32. Characteristics of Activity
A preliminary work for verification, basic classifications:
Source (creation point of instance or data)
Sink (end point of instance or data)
Filter/Join (mutation of instance or data)
Composition of these activities
33. Transactional BP
Modeling transaction coordinators which handle different
transactions by implementing transaction protocols
Building blocks
COOPN modules representing activities
COOPN modules encoding transaction states
With, //, .. , |
34. Properties of TBPs
Success guarantee: if a TBP succeeds, everything should have
done successfully.
Rollback and compensation guarantee: if it does not succeed,
rollback and compensation will be done, as “nothing happens”.
From one consistent state to another consistent state. e.g. the
philosopher problems.
35. Prototyping
BP COOPN Java
Process Java ADT
ADT
Instance impl. XML
message
External Java Data
Data
Data Type Type
Activity Class
JavaBean
Process Context
Services
Transaction Endpoint
Action Transaction
Object
Event Method Java
Method
Atomic
Gate Java Event
Transaction
configurable
modeling
transformation
36. Integrating Prototypes
Process controller prototype
Client delivery credit card Enactment
service service system Shopping Process
send <id, order>
in_
order
order
ask payement askPayment id
input credit card
out_
verify credit card <id, transaction>
in_
credit card valid validPayment id
transaction
ask delivery askDelivery id
out_
in_ <id, delivery>
confirm delivery confirmDelivery id
delivery
delivered id
37. The framework
Business Process
integration
Remote UI
Process instance system
ERP / user
Data Activity
IS
Atomic Transaction
Service Interface
Process Event
Executable model (PSM)
Action embedded
controller Java ADT impl.
modeling Java Data Type
JavaBeans Java Event
n
atio Transaction Object
COOPN model (PIM) rm
s fo Java Method
External Data Type n
tra web service
ADT Class
Context Gate
Method Configuration Class
Transaction (Mapping rules) Library
verification validation simulation
refinement
39. Conclusion
Most modeling work are done, e.g. perspectives:
Control
Data
Service
Transaction
Time to propose an XML-based Domain Specific Language
40. Future Works
Investigation on the constraints between the dimensions
Service Oriented Business Process Specifications (SO-BPS)
Verification and model checking techniques
Tools supports