A brief dive into polyglot micro-services architectures from the perspective of Wittgensteinian language-games.
TL;DR: Duckrabbit typing is our best bet for communicating between services.
The document discusses client-server communication and introduces several JavaScript libraries for facilitating this communication. It begins by outlining common methods for browsers to communicate (HTTP, WebSockets, WebRTC) and issues with existing approaches. It then introduces the rest.js, msgs.js, and SockJS libraries. Rest.js provides a thin wrapper for making requests that embraces HTTP. Msgs.js implements enterprise integration patterns for messaging. Examples show how these can be used to build scalable broadcast servers and integrate client-server communication.
JBoss Forge 2: Tornando sua IDE interessante de novoGeorge Gastaldi
George Gastaldi apresenta o JBoss Forge 2, que torna as IDEs mais interessantes ao automatizar tarefas comuns de desenvolvimento de forma independente da IDE. Ele demonstra como o Forge facilita a criação de projetos e permite estender suas funcionalidades de forma colaborativa através de plugins compartilhados.
Principles of Modern Application ArchitectureRajesh RV
The document outlines 5 principles of modern application architecture. The first principle is to develop an adaptive architecture that can easily replace parts to reduce replacement costs rather than building for 10 years of robust support. The second is to develop a system of records that acts as a platform for business innovation rather than focusing innovation only at the business level. The third is to develop a functional core focused on key responsibilities and leave non-functional aspects like performance to cloud providers. The fourth is to make technology changes irrelevant to overall success rather than using only proven technologies. The fifth is to design systems that fail and recover fast rather than attempting to design systems that never fail.
WildFly Swarm: Criando Microservices com Java EE 7George Gastaldi
O documento discute a criação de microserviços com Java EE 7. Apresenta microserviços como desacoplados e com ciclos de liberação independentes. Discutem como Java EE pode ser usado para criar microserviços através do WildFly Swarm, permitindo escolher apenas os serviços necessários e criar jars auto-contidos. Demonstra como frações podem definir dependências para subsistemas não incluídos ou desativados no WildFly.
Messaging For the Cloud and MicroservicesRob Davies
Utilising messaging in cloud deployments isn't straightforward, particularly if you want to take advantage of auto scaling. This talk covers the general problems of scaling for cloud deployments, and messaging for faster inter-service communication for Microservices
This document discusses integration in the age of DevOps. It describes how microservices help solve the problem of decoupling services and teams to move quickly at scale. Apache Camel is presented as a solution for integration that allows for reliable and distributed integration through mechanisms like messaging. Kubernetes and Docker are discussed as platforms that help develop and run microservices locally and at scale by providing automation, configuration, isolation and service discovery capabilities.
Microservices, DevOps, and Containers with OpenShift and Fabric8Christian Posta
The document discusses microservices, DevOps, and containers. It introduces the speaker, Christian Posta, and his background working with microservices at a large company. It then asks questions about the organization's motivations for considering microservices and discusses challenges with keeping up with change. The document promotes OpenShift and Fabric8 as open-source platforms that can help automate build, deployment, and integration processes in a cloud-native way. It highlights features like CI/CD, management tools, and libraries to simplify developing microservices applications.
The document discusses the evolution of continuous integration and delivery workflows at Red Hat's Fabric8 project. It describes how the workflows have scaled from initially having 4 main Java repositories and 15 Jenkins jobs to now having over 80 repositories and 143 Jenkins jobs. The document outlines the key tools used in their workflows including Jenkins, Kubernetes, Kibana, Grafana and others and demonstrates how automation is applied across the entire software development lifecycle from app creation to continuous improvement. It encourages adopting similar practices to help deliver value to customers faster.
The document discusses client-server communication and introduces several JavaScript libraries for facilitating this communication. It begins by outlining common methods for browsers to communicate (HTTP, WebSockets, WebRTC) and issues with existing approaches. It then introduces the rest.js, msgs.js, and SockJS libraries. Rest.js provides a thin wrapper for making requests that embraces HTTP. Msgs.js implements enterprise integration patterns for messaging. Examples show how these can be used to build scalable broadcast servers and integrate client-server communication.
JBoss Forge 2: Tornando sua IDE interessante de novoGeorge Gastaldi
George Gastaldi apresenta o JBoss Forge 2, que torna as IDEs mais interessantes ao automatizar tarefas comuns de desenvolvimento de forma independente da IDE. Ele demonstra como o Forge facilita a criação de projetos e permite estender suas funcionalidades de forma colaborativa através de plugins compartilhados.
Principles of Modern Application ArchitectureRajesh RV
The document outlines 5 principles of modern application architecture. The first principle is to develop an adaptive architecture that can easily replace parts to reduce replacement costs rather than building for 10 years of robust support. The second is to develop a system of records that acts as a platform for business innovation rather than focusing innovation only at the business level. The third is to develop a functional core focused on key responsibilities and leave non-functional aspects like performance to cloud providers. The fourth is to make technology changes irrelevant to overall success rather than using only proven technologies. The fifth is to design systems that fail and recover fast rather than attempting to design systems that never fail.
WildFly Swarm: Criando Microservices com Java EE 7George Gastaldi
O documento discute a criação de microserviços com Java EE 7. Apresenta microserviços como desacoplados e com ciclos de liberação independentes. Discutem como Java EE pode ser usado para criar microserviços através do WildFly Swarm, permitindo escolher apenas os serviços necessários e criar jars auto-contidos. Demonstra como frações podem definir dependências para subsistemas não incluídos ou desativados no WildFly.
Messaging For the Cloud and MicroservicesRob Davies
Utilising messaging in cloud deployments isn't straightforward, particularly if you want to take advantage of auto scaling. This talk covers the general problems of scaling for cloud deployments, and messaging for faster inter-service communication for Microservices
This document discusses integration in the age of DevOps. It describes how microservices help solve the problem of decoupling services and teams to move quickly at scale. Apache Camel is presented as a solution for integration that allows for reliable and distributed integration through mechanisms like messaging. Kubernetes and Docker are discussed as platforms that help develop and run microservices locally and at scale by providing automation, configuration, isolation and service discovery capabilities.
Microservices, DevOps, and Containers with OpenShift and Fabric8Christian Posta
The document discusses microservices, DevOps, and containers. It introduces the speaker, Christian Posta, and his background working with microservices at a large company. It then asks questions about the organization's motivations for considering microservices and discusses challenges with keeping up with change. The document promotes OpenShift and Fabric8 as open-source platforms that can help automate build, deployment, and integration processes in a cloud-native way. It highlights features like CI/CD, management tools, and libraries to simplify developing microservices applications.
The document discusses the evolution of continuous integration and delivery workflows at Red Hat's Fabric8 project. It describes how the workflows have scaled from initially having 4 main Java repositories and 15 Jenkins jobs to now having over 80 repositories and 143 Jenkins jobs. The document outlines the key tools used in their workflows including Jenkins, Kubernetes, Kibana, Grafana and others and demonstrates how automation is applied across the entire software development lifecycle from app creation to continuous improvement. It encourages adopting similar practices to help deliver value to customers faster.
Developing Microservices with Apache Camel, by Claus IbsenJudy Breedlove
Claus Ibsen's presentation during Red Hat's "Microservices Journey with Apache Camel" events that took place in Atlanta on Oct 4th and Minneapolis on Oct 6th.
Microservices with Apache Camel, DDD, and KubernetesChristian Posta
Building microservices requires more than just infrastructure, but infrastructure does have a role. In this talk we look at microservices from an enterprise perspective and talk about DDD, Docker, Kubernetes and how established open-source projects in the integration space fits a microservices architecture
Refactor your Java EE application using Microservices and Containers - Arun G...Codemotion
Codemotion Rome 2015 - This talk will provide a quick introduction to Docker images (build time), containers (run time), and registry (distribution). It shows how to take an existing Java EE application and package it as a monolithic application as a single Docker image. The application will then be refactored in to multiple microservices and assembled together using orchestration. Unit and integration testing of such applications will be discussed and shown as well. Design patterns and anti-patterns that show how to create cluster of such applications will be demonstrated and discussed.
Java EE microservices architecture - evolving the monolithMarkus Eisele
With the ascent of DevOps, microservices, containers, and cloud-based development platforms, the gap between state-of-the-art solutions and the technology that enterprises typically support has greatly increased. But some enterprises are now looking to bridge that gap by building microservices-based architectures on top of Java EE.
In this webcast, Red Hat Developer Advocate Markus Eisele explores the possibilities for enterprises that want to move ahead with this architecture. However, the issue is complex: Java EE wasn't built with the distributed application approach in mind, but rather as one monolithic server runtime or cluster hosting many different applications. If you're part of an enterprise development team investigating the use of microservices with Java EE, this webcast will guide you to answers for getting started.
This presentation explains the new challenges to be resolved with a Microservices Architecture and how the WildFly Swarm container & OpenShift/Kubernetes can address some of the patterns like running a lightweight JavaEE container, discover and load balance the services, inject the configuration of the services.
10 yrs ago, SOA promised a lot of the same things Microservices promise use today. So where did we go wrong? What makes microservices different? In this talk, we discussed from an architectural view how we went sideways with SOA, why we must embrace things like Domain Driven Design and scaled-out architectures, and how microservices can be built with enterprises in mind. We also cover a step-by-step, in-depth tutorial that covers these concepts.
DevOps, Microservices and containers - a high level overviewBarton George
DevOps, microservices, and containers enable digital transformation by allowing organizations to develop software faster and deploy it more reliably. This is achieved through a DevOps methodology and culture that emphasizes automation, continuous integration and delivery, and monitoring. Microservices break applications into independently deployable components that can be developed and scaled independently. Containers package applications and dependencies to ensure consistency between development, testing, and production. Dell is adopting these approaches internally and offering related services and technologies like OpenShift to help customers with their digital transformations.
How microservices are redefining modern application architectureDonnie Berkholz
Slides from a joint webinar with Treasure Data:
This webinar will provide a crash course on microservices, focusing on high-level architectural and strategic concerns. We’ll explore best practices and architectural considerations and show you how to deliver microservices-powered applications today.
DevOps, containers & microservices: Separating the hype from the realityDonnie Berkholz
In this talk, Donnie shared what he's seen and what he predicts for the future of how we build and deploy applications to generate business value. You'll hear buzzwords like DevOps, Docker, and microservices used in ways that actually make sense (for a change), see real-world examples of companies that have succeeded at the leading edge, and learn how approaches like the one taken by HashiCorp's Terraform (by the authors of Vagrant) will be critical to the future of how we build software.
Microservices with Apache Camel, Docker and Fabric8 v2Christian Posta
My talk from Red Hat Summit 2015 about the pros/cons of microservices, how integration is a strong requirement for doing distributed systems designs, and how open source projects like Apache Camel, Docker, Kubernetes, OpenShift and Fabric8 can help simplify and manage microservice environments
Java one kubernetes, jenkins and microservicesChristian Posta
This document discusses microservices with Docker, Kubernetes and Jenkins. It provides an overview of Kubernetes concepts like pods, replication controllers, services and labels. It also discusses how Kubernetes can help manage containers across multiple hosts and address challenges of scaling, avoiding port conflicts and keeping containers running. The document promotes using Jenkins and Kubernetes for continuous integration and delivery of containerized microservices applications. It recommends Fabric8 as a tool that can help create and deploy microservices on Kubernetes.
The document discusses microservices and APIs. It covers how microservices optimize for speed by shedding dependencies and having dependencies on demand through services and APIs. It discusses consumer contracts for APIs and service versioning. It also discusses using an API gateway pattern for scalability, security, monitoring and more. It promotes API management for benefits like access control, analytics, and monetization of microservices.
The document discusses Christian Posta's journey with microservices architectures. It begins by explaining why organizations are moving to microservices and defines microservices. It then covers related topics like cloud platforms, container technologies like Kubernetes and OpenShift, benefits and drawbacks of microservices, and tools for developing microservices like Docker, Kubernetes, OpenShift, and Camel.
Facebook uses a distributed systems architecture with services like Memcache, Scribe, Thrift, and Hip Hop to handle large data volumes and high concurrency. Key components include the Haystack photo storage system, BigPipe for faster page loading, and a PHP front-end optimized using Hip Hop. Data is partitioned horizontally and services communicate using lightweight protocols like Thrift.
Apache Camel is a very popular integration library that works very well with microservice architecture.
This talk introduces you to Apache Camel and how you can easily get started with Camel on your computer.
Then we cover how to create new Camel projects from scratch as micro services which you can boot using Camel or Spring Boot, or other micro containers such as Jetty or fat JARs. We then take a look at what options you have for monitoring and managing your Camel microservices
using tooling such as Jolokia, and hawtio web console.
The second part of this talk is about running Camel in the cloud. We start by showing you how you can use the Maven Docker Plugin to create a docker image of your Camel application and run it using docker on a single host. Then kubernetes enters the stage and we take a look at how you can deploy your docker images on a kubernetes cloud platform, and how thenfabric8 tooling can make this much easier for the Java developers.
At the end of this talk you will have learned about and seen in practice how to take a Java Camel project from scratch, turn that into a docker image, and how you can deploy those docker images in a scalable cloud platform based on Google's kubernetes.
Developing Microservices with Apache CamelClaus Ibsen
Red Hat Microservices Architecture Day - New York, November 2015. Presented by Claus Ibsen.
Apache Camel is a very popular integration library that works very well with microservice architecture. This talk introduces you to Apache Camel and how you can easily get started with Camel on your computer. Then we cover how to create new Camel projects from scratch as microservices, which you can boot using Camel or Spring Boot, or other micro containers such as Jetty or fat JARs. We then take a look at what options you have for monitoring and managing your Camel microservices using tooling such as Jolokia, and hawtio web console.
The document discusses the typical 7 stages of scaling a web application as it grows in popularity and usage. Stage 1 involves a simple initial architecture. Stage 2 adds more redundant components to improve performance and availability as usage grows. Stages 3-5 involve significant pain as the application is pushed to its limits, requiring re-architecting and partitioning of databases and services. Stages 6-7 enter more unknown territory as major bottlenecks are addressed and capabilities are expanded to replicate data across geographies. Key practices for scaling include designing for it from the start, isolating services, optimizing after stability is ensured, and establishing processes for releases and change management.
Kenneth P. Fishkin proposes a taxonomy for analyzing tangible user interfaces (TUIs) using the axes of embodiment and metaphor. For embodiment, he identifies a scale from full to distant to describe how closely the output is tied to input. For metaphor, he examines whether the system effect matches real-world actions (verb metaphor) or objects (noun metaphor). Examples like I/O Brush and metaDESK demonstrate nearby embodiment, while TooTown shows environmental embodiment. The taxonomy allows comparison of TUI designs and understanding of the design space.
The document discusses object-oriented programming and data abstraction. It argues that encapsulation of data and operations within objects is the essence of OOP, rather than inheritance. Data abstraction alone, through defining abstract data types, can achieve many of the benefits of OOP such as resilience. OOP can be viewed as an evolution of the technique of abstract data types, with the added characteristic of protection of individual objects from one another.
Developing Microservices with Apache Camel, by Claus IbsenJudy Breedlove
Claus Ibsen's presentation during Red Hat's "Microservices Journey with Apache Camel" events that took place in Atlanta on Oct 4th and Minneapolis on Oct 6th.
Microservices with Apache Camel, DDD, and KubernetesChristian Posta
Building microservices requires more than just infrastructure, but infrastructure does have a role. In this talk we look at microservices from an enterprise perspective and talk about DDD, Docker, Kubernetes and how established open-source projects in the integration space fits a microservices architecture
Refactor your Java EE application using Microservices and Containers - Arun G...Codemotion
Codemotion Rome 2015 - This talk will provide a quick introduction to Docker images (build time), containers (run time), and registry (distribution). It shows how to take an existing Java EE application and package it as a monolithic application as a single Docker image. The application will then be refactored in to multiple microservices and assembled together using orchestration. Unit and integration testing of such applications will be discussed and shown as well. Design patterns and anti-patterns that show how to create cluster of such applications will be demonstrated and discussed.
Java EE microservices architecture - evolving the monolithMarkus Eisele
With the ascent of DevOps, microservices, containers, and cloud-based development platforms, the gap between state-of-the-art solutions and the technology that enterprises typically support has greatly increased. But some enterprises are now looking to bridge that gap by building microservices-based architectures on top of Java EE.
In this webcast, Red Hat Developer Advocate Markus Eisele explores the possibilities for enterprises that want to move ahead with this architecture. However, the issue is complex: Java EE wasn't built with the distributed application approach in mind, but rather as one monolithic server runtime or cluster hosting many different applications. If you're part of an enterprise development team investigating the use of microservices with Java EE, this webcast will guide you to answers for getting started.
This presentation explains the new challenges to be resolved with a Microservices Architecture and how the WildFly Swarm container & OpenShift/Kubernetes can address some of the patterns like running a lightweight JavaEE container, discover and load balance the services, inject the configuration of the services.
10 yrs ago, SOA promised a lot of the same things Microservices promise use today. So where did we go wrong? What makes microservices different? In this talk, we discussed from an architectural view how we went sideways with SOA, why we must embrace things like Domain Driven Design and scaled-out architectures, and how microservices can be built with enterprises in mind. We also cover a step-by-step, in-depth tutorial that covers these concepts.
DevOps, Microservices and containers - a high level overviewBarton George
DevOps, microservices, and containers enable digital transformation by allowing organizations to develop software faster and deploy it more reliably. This is achieved through a DevOps methodology and culture that emphasizes automation, continuous integration and delivery, and monitoring. Microservices break applications into independently deployable components that can be developed and scaled independently. Containers package applications and dependencies to ensure consistency between development, testing, and production. Dell is adopting these approaches internally and offering related services and technologies like OpenShift to help customers with their digital transformations.
How microservices are redefining modern application architectureDonnie Berkholz
Slides from a joint webinar with Treasure Data:
This webinar will provide a crash course on microservices, focusing on high-level architectural and strategic concerns. We’ll explore best practices and architectural considerations and show you how to deliver microservices-powered applications today.
DevOps, containers & microservices: Separating the hype from the realityDonnie Berkholz
In this talk, Donnie shared what he's seen and what he predicts for the future of how we build and deploy applications to generate business value. You'll hear buzzwords like DevOps, Docker, and microservices used in ways that actually make sense (for a change), see real-world examples of companies that have succeeded at the leading edge, and learn how approaches like the one taken by HashiCorp's Terraform (by the authors of Vagrant) will be critical to the future of how we build software.
Microservices with Apache Camel, Docker and Fabric8 v2Christian Posta
My talk from Red Hat Summit 2015 about the pros/cons of microservices, how integration is a strong requirement for doing distributed systems designs, and how open source projects like Apache Camel, Docker, Kubernetes, OpenShift and Fabric8 can help simplify and manage microservice environments
Java one kubernetes, jenkins and microservicesChristian Posta
This document discusses microservices with Docker, Kubernetes and Jenkins. It provides an overview of Kubernetes concepts like pods, replication controllers, services and labels. It also discusses how Kubernetes can help manage containers across multiple hosts and address challenges of scaling, avoiding port conflicts and keeping containers running. The document promotes using Jenkins and Kubernetes for continuous integration and delivery of containerized microservices applications. It recommends Fabric8 as a tool that can help create and deploy microservices on Kubernetes.
The document discusses microservices and APIs. It covers how microservices optimize for speed by shedding dependencies and having dependencies on demand through services and APIs. It discusses consumer contracts for APIs and service versioning. It also discusses using an API gateway pattern for scalability, security, monitoring and more. It promotes API management for benefits like access control, analytics, and monetization of microservices.
The document discusses Christian Posta's journey with microservices architectures. It begins by explaining why organizations are moving to microservices and defines microservices. It then covers related topics like cloud platforms, container technologies like Kubernetes and OpenShift, benefits and drawbacks of microservices, and tools for developing microservices like Docker, Kubernetes, OpenShift, and Camel.
Facebook uses a distributed systems architecture with services like Memcache, Scribe, Thrift, and Hip Hop to handle large data volumes and high concurrency. Key components include the Haystack photo storage system, BigPipe for faster page loading, and a PHP front-end optimized using Hip Hop. Data is partitioned horizontally and services communicate using lightweight protocols like Thrift.
Apache Camel is a very popular integration library that works very well with microservice architecture.
This talk introduces you to Apache Camel and how you can easily get started with Camel on your computer.
Then we cover how to create new Camel projects from scratch as micro services which you can boot using Camel or Spring Boot, or other micro containers such as Jetty or fat JARs. We then take a look at what options you have for monitoring and managing your Camel microservices
using tooling such as Jolokia, and hawtio web console.
The second part of this talk is about running Camel in the cloud. We start by showing you how you can use the Maven Docker Plugin to create a docker image of your Camel application and run it using docker on a single host. Then kubernetes enters the stage and we take a look at how you can deploy your docker images on a kubernetes cloud platform, and how thenfabric8 tooling can make this much easier for the Java developers.
At the end of this talk you will have learned about and seen in practice how to take a Java Camel project from scratch, turn that into a docker image, and how you can deploy those docker images in a scalable cloud platform based on Google's kubernetes.
Developing Microservices with Apache CamelClaus Ibsen
Red Hat Microservices Architecture Day - New York, November 2015. Presented by Claus Ibsen.
Apache Camel is a very popular integration library that works very well with microservice architecture. This talk introduces you to Apache Camel and how you can easily get started with Camel on your computer. Then we cover how to create new Camel projects from scratch as microservices, which you can boot using Camel or Spring Boot, or other micro containers such as Jetty or fat JARs. We then take a look at what options you have for monitoring and managing your Camel microservices using tooling such as Jolokia, and hawtio web console.
The document discusses the typical 7 stages of scaling a web application as it grows in popularity and usage. Stage 1 involves a simple initial architecture. Stage 2 adds more redundant components to improve performance and availability as usage grows. Stages 3-5 involve significant pain as the application is pushed to its limits, requiring re-architecting and partitioning of databases and services. Stages 6-7 enter more unknown territory as major bottlenecks are addressed and capabilities are expanded to replicate data across geographies. Key practices for scaling include designing for it from the start, isolating services, optimizing after stability is ensured, and establishing processes for releases and change management.
Kenneth P. Fishkin proposes a taxonomy for analyzing tangible user interfaces (TUIs) using the axes of embodiment and metaphor. For embodiment, he identifies a scale from full to distant to describe how closely the output is tied to input. For metaphor, he examines whether the system effect matches real-world actions (verb metaphor) or objects (noun metaphor). Examples like I/O Brush and metaDESK demonstrate nearby embodiment, while TooTown shows environmental embodiment. The taxonomy allows comparison of TUI designs and understanding of the design space.
The document discusses object-oriented programming and data abstraction. It argues that encapsulation of data and operations within objects is the essence of OOP, rather than inheritance. Data abstraction alone, through defining abstract data types, can achieve many of the benefits of OOP such as resilience. OOP can be viewed as an evolution of the technique of abstract data types, with the added characteristic of protection of individual objects from one another.
It Is Possible to Do Object-Oriented Programming in JavaKevlin Henney
Presented at GeeCON (18th May 2012)
Video available on Vimeo: https://vimeo.com/56748054
OO means different things to different people, but they normally focus on defining terms such as encapsulation, polymorphism and inheritance, and talk about data abstraction, abstract data types and so on. In this talk we take a brief look at what one particular theory of OO suggests and what it means for regular Java programmers and their practice.
20100420 Methods Of Multilingual Interoperability Of Art & Architecture Thesa...AAT Taiwan
The document discusses the methods used for developing a multilingual Art & Architecture Thesaurus (AAT) between Taiwan and the Getty Research Institute (GRI). It covers the key issues in cross-lingual thesaurus development such as differences in scope, structure, language and culture between source and target languages. The methodology involves collaboratively translating AAT concepts and terms from English to Chinese, and integrating the multilingual thesaurus with digital collections to enable semantic, multilingual search and browsing.
Beyond the Metaverse: XV (eXtended meta/uni/Verse)Steve Mann
Beyond the Metaverse: XV (eXtended meta/uni/Verse)
Abstract: We propose the term and concept XV (eXtended meta/omni/uni/Verse) as an alternative to, and generalization of, the shared/social virtual reality widely known as ``metaverse''. XV is shared/social XR. We, and many others, use XR (eXtended Reality) as a broad umbrella term and concept to encompass all the other realities, where X is an ``anything'' variable, like in mathematics, to denote any reality, X ∈ {physical, virtual, augmented, ...} ℝeality. Therefore XV inherits this generality from XR. We begin with a very simple organized taxonomy of all these realities in terms of two simple building blocks: (1) physical reality (PR) as made of ``atoms'', and (2) virtual reality (VR) as made of ``bits''. Next we introduce XV as combining all these realities with extended society as a three-dimensional space and taxonomy of (1) ``atoms'' (physical reality), (2) ``bits'' (virtuality), and (3) ``genes'' (sociality). Thus those working in the liminal space between Virtual Reality (VR), Augmented Reality (AR), metaverse, and their various extensions, can describe their work and research as existing in the new field of XV. XV includes the metaverse along with extensions of reality itself like shared seeing in the infrared, ultraviolet, and shared seeing of electromagnetic radio waves, sound waves, and electric currents in motors. For example, workers in a mechanical room can look at a pump and see a superimposed time-varying waveform of the actual rotating magnetic field inside its motor, in real time, while sharing this vision across multiple sites.
2212.07960.pdf
Index Terms—Metaverse, Omniverse, eXtendiverse, XR, eXtended
Reality, VR, Virtual Reality, AR, Augmented Reality
Authors:
Steve Mann...
Yu Yuan (President-Elect, IEEE Standards Association)
Thomas Furness (“Grandfather of Virtual Reality”)
Joseph Paradiso (Alexander W Dreyfoos Professor and Associate Academic Head of Program in Media Arts and Sciences, MIT Media Lab)
Thomas Coughlin (IEEE President-Elect 2023 / IEEE President 2024)
Argument Structure And State CompositionAmy Cernava
This document discusses previous accounts of how objects affect the interpretation of events and states. It aims to draw an analogy between events and states, and argue that quantization of objects distinguishes types of states, as with events. The document presents two main previous approaches:
1) The "Event Composition" approach argues that telicity in events arises from the composition of the verb and its object. Quantized objects license telic interpretations while homogeneous objects do not.
2) The "Requiring Topics" approach claims that existential interpretation of subjects in states is linked to a requirement that every clause has a topic. Only strong, discourse-given objects can be topics.
The document raises questions about the range of
This document provides an exegesis of Wittgenstein's Tractatus Logico-Philosophicus focusing on the term 'proposition.' It analyzes Wittgenstein's use and conceptualization of 'proposition' across the seven main propositions in the Tractatus. The analysis shows that Wittgenstein develops a multifaceted understanding of 'proposition' - from a basic binary statement of facts, to a pictorial representation in thought, to the expression of thoughts through language. Propositions are seen to have a generative dimension, producing new states of affairs through expression. They operate as truth-functions, confirming or denying possibilities of facts.
The document discusses the development of self through personal and self-development. Personal development provides clarity of vision and life goals, improves existing skills, helps identify true potential, and drives motivation. It allows one to take control and look at the bigger picture. Self-development complements personal development by focusing on constant improvement in various aspects of life through skills, knowledge, and self-fulfillment. Both processes are important for lifelong learning and growth.
This document provides an introduction to object-oriented analysis and design (OOAD). It discusses why the OO approach was developed, including to address issues with communication and managing complexity. It then defines key OO concepts like objects, classes, encapsulation, inheritance, polymorphism, and the use of UML. It also briefly outlines the object modeling technique (OMT) methodology and some popular OO development processes.
A quantum framework for likelihood ratiosRachael Bond
The ability to calculate precise likelihood ratios is fundamental to science, from Quantum Information Theory through to Quantum State Estimation. However, there is no assumption-free statistical methodology to achieve this. For instance, in the absence of data relating to covariate overlap, the widely used Bayes’ theorem either defaults to the marginal probability driven “naive Bayes’ classifier”, or requires the use of compensatory expectation-maximization techniques. This paper takes an information-theoretic approach in developing a new statistical formula for the calculation of likelihood ratios based on the principles of quantum entanglement, and demonstrates that Bayes’ theorem is a special case of a more general quantum mechanical expression.
Read More: http://www.worldscientific.com/doi/abs/10.1142/S0219749918500028
This document presents a framework for representing identity using situations and the semantic web. It discusses situation theory and how situations can represent identity-related information. The framework uses semantic web standards like RDF, RDFS and OWL to encode situations and relationships between situations. This allows querying across situations and using rules to classify situations. The goal is to capture evidence and provenance around identity assertions in a structured way using situations.
University of California, Berkeley: iSchool Nov, 2009Tom Moritz
The document discusses different definitions and understandings of the term "data". It begins by exploring data in its technological sense as digital information that can be stored and accessed electronically. It then examines data from an epistemic perspective as measurements, observations or descriptions created through human interpretation. Finally, it analyzes philosophical definitions of data, including the "Diaphoric Definition of Data" which defines a datum as a putative fact regarding some difference or lack of uniformity within a context. The document explores data at the levels of real-world lacks of uniformity, physical states, and symbolic differences.
The document describes the OntoClean methodology for developing ontologies. It discusses the key components of OntoClean including formal criteria, a top-level ontology, ontology of universals, development guidelines, and applications. Some examples of how OntoClean has been applied include medical terminologies and product ontologies.
The process of language learning involves the mastery of countless tasks: making the constituent sounds of
the language being learned, learning the grammatical patterns, and acquiring the requisite vocabulary for
reception and production.
While a plethora of computational tools exist to facilitate the first and second of these tasks, a number of
challenges arise with respect to enabling the third. This paper describes a tool that has been designed to
support language learners with the challenge of understanding the use of ‘closed-class’ lexical items.
The process of learning the Arabic for ‘office’ is (mktb) is relatively simple and should be possible by
means of simple repetition of the word. However, it is much more difficult to learn and correctly use the
Arabic equivalent of the word ‘on’. The current paper describes a mechanism for the delivery of diagnostic
information regarding specific lexical examples, with the aim of clearly demonstrating why a particular
translation of a given closed-class item may be appropriate in certain situations but not others, thereby
helping learners to understand and use the term correctly.
Prove asymptotic upper and lower hounds for each of the following sp.pdfwasemanivytreenrco51
Prove asymptotic upper and lower hounds for each of the following specified otherwise, assume
that in each case, T(n) = 1 (or any small constant) for small value You may assume that n = c^k
for some constant c that you choose. Make your bounds as tight as (No need to specify the
origin of your guess.) T(n0 = 8T(n/3) + n^1.83838383... T(n) = T(n - 1) = 1/n T(n) = 16T(n/2)
+ (n log n)^4. T(n) = 2T(n/2) + n/lg n. T(n) = T(n - 1) + T(n - 2) + 1 with base case of T(1) = 1
and T(2) = 2
Solution
A statement are often outlined as a declaratory sentence, or a part of a sentence, that\'s capable of
getting a truth-value, like being true or false. So, as an example, the subsequent area unit
statements:
George W. Bush is that the forty third President of the us.
Paris is that the capital of France.
Everyone born on Monday has purple hair.
Sometimes, a press release will contain one or a lot of alternative statements as elements.
contemplate as an example, the subsequent statement:
Either Ganymede may be a moon of Jupiter or Ganymede may be a moon of Saturn.
While the on top of sentence is itself a press release, as a result of it\'s true, the 2 elements,
\"Ganymede may be a moon of Jupiter\" and \"Ganymede may be a moon of Saturn\", area unit
themselves statements, as a result of the primary is true and therefore the second is fake.
The term proposition is typically used synonymously with statement. However, it\'s typically
accustomed name one thing abstract that 2 totally different statements with an equivalent which
means area unit each aforementioned to \"express\". during this usage, nation sentence, \"It is
raining\", and therefore the French sentence \"Il pleut\", would be thought-about to specific an
equivalent proposition; equally, the 2 English sentences, \"Callisto orbits Jupiter\" and \"Jupiter
is orbitted by Callisto\" would even be thought-about to specific an equivalent proposition.
However, the character or existence of propositions as abstract meanings continues to be a matter
of philosophical dispute, and for the needs of this text, the phrases \"statement\" and
\"proposition\" area unit used interchangeably.
Propositional logic, conjointly referred to as linguistic string logic, is that branch of logic that
studies ways that of mixing or neutering statements or propositions to create a lot of difficult
statements or propositions. change of integrity 2 easier propositions with the word \"and\" is one
common approach of mixing statements. once 2 statements area unit joined along side \"and\",
the advanced statement fashioned by them is true if and as long as each the element statements
area unit true. owing to this, associate argument of the subsequent kind is logically valid:
Paris is that the capital of France and Paris contains a population of over 2 million.
Therefore, Paris contains a population of over 2 million.
Propositional logic for the most part involves learning logical connectives like the words \"and\"
and \"or\" and therefo.
Semiotics, Semantics, and The Linguistic Turn in Philosophycognitiveron
This document provides an overview of semantics and theories of meaning. It discusses semantics as the study of linguistic meaning, and notes its importance to linguistics and computer science. Several theories of meaning are examined, including the denotational theory which views words as naming objects, and problems with this view. Wittgenstein's early work in the Tractatus is summarized, followed by his later rejection of some of these views in Philosophical Investigations, where he introduced the concept of language games. The document also briefly discusses the work of Frege, Russell, and Peirce in relation to theories of meaning and semantics.
This document discusses different approaches to defining the coreference-like relation that Binding Theory conditions were originally meant to constrain.
[1] Early approaches tried to define "coreference" precisely but faced problems distinguishing between binding and coreference. Later approaches treated Binding Theory as a purely syntactic concept not necessarily matching semantic relations.
[2] The author proposes revisiting the definition of "covaluation", which replaces "coreference" in Binding Theory formulations. A first definition generalizes over binding and coreference but rules out too little and too much. Contingent identity statements are correctly allowed under a revised definition using a "subjective" context.
[3] However, the system still allows "code
Seven Ineffective Coding Habits of Many ProgrammersKevlin Henney
The document discusses seven ineffective coding habits: noisy code with unnecessary comments, unsustainable spacing that reduces readability, underabstraction, lego naming conventions that are difficult to understand, unencapsulated state, getters and setters that expose implementation details, and uncohesive tests that do not clearly specify requirements. It provides examples of clearer, more effective alternatives for each habit.
Similar to Polyglot Micro-Services with a Dash of Wittgenstein - PolyConf 2015 (20)
3. A is building with building stones: there are
blocks, pillars, slabs, and beams. B has to pass
him the stones and to do so in the order in which
A needs them. For this purpose they make use of
a language consisting of the words “block,”
“pillar,” “slab,” “beam.” A calls them out; B brings
the stone which he has learnt to bring at such-
and-such a call. — Conceive of this as a
complete primitive language.
(Wittgenstein, PI, §2)
5. 1. How does data’s meaning change from one context
to another?
2. How do we figure out what data means in a given
context?
3. What can we do about it?
6. 1. Data’s meaning changes from context to context.
2. We can describe data in a given context
3. There are tools and techniques at our disposal to
mitigate confusion.
7. • Chuck Pletcher
• Software Engineering at Assembly (https://
assembly.com)
• Not a philosopher
8. When they (grown-ups) named some object and at the same
time turned towards it, I perceived this, and I grasped that the
thing was signified by the sound they uttered, since they meant
to point it out. This, however, I gathered from their gestures, the
natural language of all peoples, the language that by means of
facial expression and the play of eyes, of the movements of the
limbs and the tone of voice, indicates the affections of the soul
when it desires, or clings to, or rejects, or recoils from,
something. In this way, little by little, I learnt to understand what
things the words, which I heard uttered in their respective
places in various sentences, signified. And once I got my
tongue around these signs, I used them to express my wishes.
(Augustine, Confessions I. 8)
9. 2.1 We make to ourselves pictures of facts.
2.11 The picture presents the facts in logical space, the existence
and non-existence of atomic facts.
2.12 The picture is a model of reality.
2.13 To the objects correspond in the picture the elements of the
picture.
2.131 The elements of the picture stand, in the picture, for the
objects.
2.14 The picture consists in the fact that its elements are combined
with one another in a definite way.
2.141 The picture is a fact.
(Wittgenstein, Tractatus Logico-Philosophocus)
10.
11. Someone suddenly sees something which he
does not recognize (it may be a familiar object,
but in an unusual position or lighting); the lack of
recognition perhaps lasts only a few seconds.
(Wittgenstein, PI, Part II, §141)
12.
13. Is it correct to say that he has a different visual experience
from someone who recognized the object straightaway?
Couldn’t someone describe an unfamiliar shape that
appeared before him just as accurately as I, to whom it is
familiar? And isn’t that the answer?
(Wittgenstein, PI, Part II, §§141-142)
17. import React from 'react'
export default function connectToStores(...stores) {
return function(Component) {
return class StoreConnection extends React.Component {
static willTransitionTo(transition, params, query) {
Component.willTransitionTo &&
Component.willTransitionTo(transition, params, query)
}
constructor(props) {
super(props)
this.state = Component.getPropsFromStores(props)
this.handleStoresChanged = this.handleStoresChanged.bind(this)
}
render() {
return <Component {...this.props} {...this.state} ref="component" />;
}
componentDidMount() {
stores.forEach(store =>
store.addChangeListener(this.handleStoresChanged)
);
}
componentWillUnmount() {
stores.forEach(store =>
store.removeChangeListener(this.handleStoresChanged)
);
}
handleStoresChanged() {
this.setState(Component.getPropsFromStores(this.props))
}
// for testing
static get Component() {
return Component
}
}
}
}
https://medium.com/@dan_abramov/mixins-are-dead-long-live-higher-order-components-94a0d2f9e750
Render the target Component
along with any props and state
Attach listeners to each of the
Component’s stores (declared
in the call to this decorator)
Think of this as ReactRouter
sugar — it’s not super
important for our purposes, but
I’ll explain it if you want
18. import AvailableUsernameInputActions from 'actions/AvailableUsernameInputActions'
import AvailableUsernameInputStore from 'stores/AvailableUsernameInputStore'
import classnames from 'classnames'
import connectToStores from 'lib/connectToStores.jsx'
import React from 'react'
@connectToStores(AvailableUsernameInputStore)
export default class AvailableUsernameInput extends React.Component {
static getPropsFromStores(props) {
return { valid: AvailableUsernameInputStore.isValid(props.id) }
}
static defaultProps = {
id: 'available-input'
}
componentDidMount() {
AvailableUsernameInputActions.validate(this.props.id, this.props.value)
}
constructor(props) {
super(props)
this.handleChange = this._handleChange.bind(this)
}
render() {
const classes = classnames(this.props.className, {
'is-error': this.props.valid === false
})
return (
<div className="clearfix">
<input {...this.props}
className={classes}
onChange={this.handleChange} />
{this.renderMessage()}
</div>
)
}
renderMessage() {
const { valid, value } = this.props
// `valid` can be `null`, in which case we do nothing
if (valid === false) {
return (
<small className="red left mt1">
{value} is taken. Try again!
</small>
)
}
return null
}
_handleChange(e) {
AvailableUsernameInputActions.validate(this.props.id, e.target.value)
this.props.onChange && this.props.onChange(e)
}
}
Pass any changes off to
action creators.
`valid` is ultimately the prop
that we care about
21. [T]he language-games stand there as objects of
comparison which, through similarities and dissimilarities,
are meant to throw light on features of our language.
For we can avoid unfairness or vacuity in our assertions
only by presenting the model as what it is, as an object of
comparison — as a sort of yardstick; not as a
preconception to which reality must correspond. (The
dogmatism into which we fall so easily when doing
philosophy.)
(Wittgenstein, PI, §§130-131)
22. [T]he language-games stand there as objects of
comparison which, through similarities and dissimilarities,
are meant to throw light on features of our language.
For we can avoid unfairness or vacuity in our assertions
only by presenting the model as what it is, as an object of
comparison — as a sort of yardstick; not as a
preconception to which reality must correspond. (The
dogmatism into which we fall so easily when doing
philosophy computer science.)
(Wittgenstein, PI, §§130-131)
24. Can there be a clash between the picture [our data]
and application? Well, they can clash in so far as the
picture makes us expect a different use; because
people in general apply this picture like this.
I want to say: we have here a normal case and
abnormal cases.
(Wittgenstein, PI, §141)
25. Thanks
•
• Wittgenstein, Ludwig. Philosophical Investigations.
Translated by G. E. M. Anscombe, P. M. S. Hacker,
and Joachim Schulte. Fourth Edition. Blackwell
Publishers, Malden, MA: 2009. (Originally
published 1953)
• Wittgenstein, Ludwig. Tractatus Logico-
Philosophicus. Translated by C. K. Ogden. Kegan
Paul, Trench, Trubner and Co., Ltd., London: 1922.