Universal Description Discovery and Integration (UDDI) is a framework for describing and discovering Web services. It defines data structures and APIs for publishing service descriptions in a registry and querying the registry. The UDDI specification was developed by major industry players and later handed over to OASIS. The goal of UDDI is to support service discovery through public registries containing service descriptions that can be accessed programmatically. UDDI defines entities like business, service, and binding templates that are used to describe services in the registry along with technical models (tModels) that define service interfaces and properties.
Universal Description, Discovery and Integration (UDDI) by ANIKET CHOUDHURYअनिकेत चौधरी
Universal Description, Discovery and Integration (UDDI) is a registry record or data base where publishers publish there service and consumers can search for the desired service.
This document provides an overview of the Wireless Application Protocol (WAP) and WAP 2.0 standard. It discusses what WAP is, its development and objectives, and the architectures of WAP 1.0 and WAP 2.0. Key features of WAP 2.0 are summarized, including WAP Push, user profiles, wireless telephony applications, and support for high-speed 3G technology. Examples of real-life WAP applications are given such as checking bank balances on the go and making reservations without calls.
How the Internet of Things (IoT) world can benefit from Data Distribution Service (DDS) middleware for device-to-device communication as well as device to server and cloud communication/messaging.
Mil-DDS IoT Suite
This document presents an overview of text mining. It discusses how text mining differs from data mining in that it involves natural language processing of unstructured or semi-structured text data rather than structured numeric data. The key steps of text mining include pre-processing text, applying techniques like summarization, classification, clustering and information extraction, and analyzing the results. Some common applications of text mining are market trend analysis and filtering of spam emails. While text mining allows extraction of information from diverse sources, it requires initial learning systems and suitable programs for knowledge discovery.
Metadata contains answers to questions about the data in a data warehouse. It is stored in a metadata repository and describes pertinent details about the data to users, developers, and the project team. Metadata is necessary for using, building, and administering the data warehouse as it provides information about data extraction, transformations, structure, refreshment, and more. It serves important roles for both business users and IT staff across the data acquisition, storage, and delivery processes.
The document discusses the Internet of Things (IoT) and the role of data in IoT systems. It covers the IoT ecosystem, including consumer and industrial applications. It then describes the IoT data flow from data capture by sensors, transmission through radio networks, storage and analysis in the cloud or data centers, and use by applications. Finally, it discusses some specific radio network technologies used for IoT, such as Sigfox, LoRa, and Narrowband IoT.
The document discusses database design, including transforming entity-relationship diagrams into normalized relations, integrating different user views, choosing data storage formats, designing efficient database tables, file organization, and indexes. It covers key database concepts such as relations, primary keys, normalization, foreign keys, and data types. The goal of database design is to structure data in stable, normalized tables that are efficient for storage and access.
Universal Description, Discovery and Integration (UDDI) by ANIKET CHOUDHURYअनिकेत चौधरी
Universal Description, Discovery and Integration (UDDI) is a registry record or data base where publishers publish there service and consumers can search for the desired service.
This document provides an overview of the Wireless Application Protocol (WAP) and WAP 2.0 standard. It discusses what WAP is, its development and objectives, and the architectures of WAP 1.0 and WAP 2.0. Key features of WAP 2.0 are summarized, including WAP Push, user profiles, wireless telephony applications, and support for high-speed 3G technology. Examples of real-life WAP applications are given such as checking bank balances on the go and making reservations without calls.
How the Internet of Things (IoT) world can benefit from Data Distribution Service (DDS) middleware for device-to-device communication as well as device to server and cloud communication/messaging.
Mil-DDS IoT Suite
This document presents an overview of text mining. It discusses how text mining differs from data mining in that it involves natural language processing of unstructured or semi-structured text data rather than structured numeric data. The key steps of text mining include pre-processing text, applying techniques like summarization, classification, clustering and information extraction, and analyzing the results. Some common applications of text mining are market trend analysis and filtering of spam emails. While text mining allows extraction of information from diverse sources, it requires initial learning systems and suitable programs for knowledge discovery.
Metadata contains answers to questions about the data in a data warehouse. It is stored in a metadata repository and describes pertinent details about the data to users, developers, and the project team. Metadata is necessary for using, building, and administering the data warehouse as it provides information about data extraction, transformations, structure, refreshment, and more. It serves important roles for both business users and IT staff across the data acquisition, storage, and delivery processes.
The document discusses the Internet of Things (IoT) and the role of data in IoT systems. It covers the IoT ecosystem, including consumer and industrial applications. It then describes the IoT data flow from data capture by sensors, transmission through radio networks, storage and analysis in the cloud or data centers, and use by applications. Finally, it discusses some specific radio network technologies used for IoT, such as Sigfox, LoRa, and Narrowband IoT.
The document discusses database design, including transforming entity-relationship diagrams into normalized relations, integrating different user views, choosing data storage formats, designing efficient database tables, file organization, and indexes. It covers key database concepts such as relations, primary keys, normalization, foreign keys, and data types. The goal of database design is to structure data in stable, normalized tables that are efficient for storage and access.
UDDI is a registry for Web services that allows services to be published and discovered. It defines a standard way to describe services so they can be found. UDDI uses a data structure of businessEntities, businessServices, bindingTemplates and tModels to classify businesses and their services. Services can be browsed, searched for, or details retrieved via the UDDI inquiry API using SOAP. Publishing new services requires restricted access to the publishing API. Effective search is an open issue being addressed through improved classification.
The document discusses several application layer protocols used in TCP/IP including HTTP, HTTPS, FTP, and Telnet. HTTP is used to access resources on the world wide web over port 80 and is stateless. HTTPS is a secure version of HTTP that encrypts communications over port 443. FTP is used to transfer files between hosts but sends data and passwords in clear text. Telnet allows users to access programs on remote computers.
The document discusses data modeling, which involves creating a conceptual model of the data required for an information system. There are three types of data models - conceptual, logical, and physical. A conceptual data model describes what the system contains, a logical model describes how the system will be implemented regardless of the database, and a physical model describes the implementation using a specific database. Common elements of a data model include entities, attributes, and relationships. Data modeling is used to standardize and communicate an organization's data requirements and establish business rules.
IP specifies the format of packets, also called #datagrams, and the addressing scheme. Most networks combine IP with a higher-level protocol called Transmission Control Protocol (TCP), which establishes a virtual connection between a destination and a source.
If you want to purchase the content e-mail me on dulith1989@gmail.com
Network Traffic Management also allows for the identification of network-intensive operations that can be incorporated into network planning and growth strategies. Network Traffic Management is used alongside other optimisation techniques like Application Traffic Management as part of an overall Application Delivery Network solution.
Computer networks a tanenbaum - 5th editioneepawan1809
This document is the front matter of a textbook on computer networks. It includes the title, copyright information, dedication, and table of contents. The textbook covers topics such as the physical layer, data link layer, network layer, transport layer, and examples of computer networks including the Internet, mobile networks, Ethernet, and wireless networks. It is intended to introduce students to the fundamental concepts and protocols of computer networking.
OLAP provides multidimensional analysis of large datasets to help solve business problems. It uses a multidimensional data model to allow for drilling down and across different dimensions like students, exams, departments, and colleges. OLAP tools are classified as MOLAP, ROLAP, or HOLAP based on how they store and access multidimensional data. MOLAP uses a multidimensional database for fast performance while ROLAP accesses relational databases through metadata. HOLAP provides some analysis directly on relational data or through intermediate MOLAP storage. Web-enabled OLAP allows interactive querying over the internet.
Overview of data communication and networkingSisir Ghosh
The document provides an overview of data communication and computer networks. It discusses the key components of data communication including senders, receivers, transmission media, messages, and protocols. It then describes different types of network connections and topologies including point-to-point, multipoint, bus, star, ring, mesh, and hybrid networks. Finally, it discusses network classification based on scale, including local area networks (LANs), metropolitan area networks (MANs), and wide area networks (WANs). The document also covers protocols, standards, and reference models like OSI and TCP/IP.
Encapsulation refers to the process of adding headers and trailers to data as it passes from higher to lower layers in a networking model. At each layer, additional headers are added containing information for that layer, and the data plus added headers are passed to the next lower layer. Decapsulation is the reverse process of removing these headers at each layer as data moves from lower to upper layers.
This document discusses data center networks. It describes how data centers contain large numbers of interconnected computing and storage nodes. It discusses challenges in data center network design including large scale, high energy consumption, and strict service requirements. It also describes different types of data center network infrastructures including intra and inter data center networks. For intra data center networks, it covers electrical, electrical/optical, and electrical/wireless topologies as well as traffic control methods.
This Presentation is about NoSQL which means Not Only SQL. This presentation covers the aspects of using NoSQL for Big Data and the differences from RDBMS.
Web services protocols allow for communication between organizations through shared standards like XML, SOAP, WSDL, and UDDI. Web services involve service providers that make services available through publishing, service registries for discovery, and service consumers that find and use services. Key aspects include describing services with WSDL, registering them in UDDI directories, and communicating requests and responses with SOAP messages over common protocols like HTTP.
Data warehousing involves assembling and managing data from various sources to provide an integrated view of enterprise information. A data warehouse contains consolidated, historical data used to support management decision making. It differs from operational databases by containing aggregated, non-volatile data optimized for queries rather than updates. The extract, transform, load (ETL) process migrates data from source systems to the warehouse, transforming it as needed. Process managers oversee loading, maintaining, and querying the warehouse data.
Circuit switching establishes a dedicated electrical path between source and destination before data transmission, but it wastes bandwidth if no data is being sent and has high initial delays. Store-and-forward switching breaks messages into packets that are transmitted independently between nodes, allowing more efficient use of bandwidth. Packet switching is commonly used as it offers better delay characteristics than message switching and requires less buffer storage than transmitting full messages.
The document discusses query processing and optimization. It describes the basic concepts including query processing, query optimization, and the phases of query processing. It also explains relational algebra operations like selection, projection, joins, and additional operations. The document then covers topics like query decomposition, analysis, normalization, simplification, and restructuring during query optimization. It discusses cost estimation and algorithms for implementing relational algebra operations and file organization.
This document provides an introduction to data warehousing. It defines key concepts like data, databases, information and metadata. It describes problems with heterogeneous data sources and fragmented data management in large enterprises. The solution is a data warehouse, which provides a unified view of data from various sources. A data warehouse is defined as a subject-oriented, integrated collection of historical data used for analysis and decision making. It differs from operational databases in aspects like data volume, volatility, and usage. The document outlines the extract-transform-load process and common architecture of data warehousing.
The document discusses multidimensional databases and data warehousing. It describes multidimensional databases as optimized for data warehousing and online analytical processing to enable interactive analysis of large amounts of data for decision making. It discusses key concepts like data cubes, dimensions, measures, and common data warehouse schemas including star schema, snowflake schema, and fact constellations.
The document discusses congestion control in computer networks. It defines congestion as occurring when the load on a network is greater than the network's capacity. Congestion control aims to control congestion and keep the load below capacity. The document outlines two categories of congestion control: open-loop control, which aims to prevent congestion; and closed-loop control, which detects congestion and takes corrective action using feedback from the network. Specific open-loop techniques discussed include admission control, traffic shaping using leaky bucket and token bucket algorithms, and traffic scheduling.
UDDI is a platform-independent framework for describing web services, discovering businesses, and integrating services over the Internet using a publicly available registry. It provides a standardized way to describe services, discover businesses, and view technical details through a registry implemented as a web service. Businesses can publish service descriptions to the registry to facilitate discovery and integration between services.
This document discusses web services and standards. It provides details on service descriptions using WSDL, service discovery with UDDI, and messaging with SOAP. WSDL is used to describe service interfaces and endpoints. UDDI allows services to be published and discovered in registries. SOAP defines the standard message format for web services communication, including envelopes, headers, and bodies. Common message exchange patterns like request-response are also covered.
UDDI is a registry for Web services that allows services to be published and discovered. It defines a standard way to describe services so they can be found. UDDI uses a data structure of businessEntities, businessServices, bindingTemplates and tModels to classify businesses and their services. Services can be browsed, searched for, or details retrieved via the UDDI inquiry API using SOAP. Publishing new services requires restricted access to the publishing API. Effective search is an open issue being addressed through improved classification.
The document discusses several application layer protocols used in TCP/IP including HTTP, HTTPS, FTP, and Telnet. HTTP is used to access resources on the world wide web over port 80 and is stateless. HTTPS is a secure version of HTTP that encrypts communications over port 443. FTP is used to transfer files between hosts but sends data and passwords in clear text. Telnet allows users to access programs on remote computers.
The document discusses data modeling, which involves creating a conceptual model of the data required for an information system. There are three types of data models - conceptual, logical, and physical. A conceptual data model describes what the system contains, a logical model describes how the system will be implemented regardless of the database, and a physical model describes the implementation using a specific database. Common elements of a data model include entities, attributes, and relationships. Data modeling is used to standardize and communicate an organization's data requirements and establish business rules.
IP specifies the format of packets, also called #datagrams, and the addressing scheme. Most networks combine IP with a higher-level protocol called Transmission Control Protocol (TCP), which establishes a virtual connection between a destination and a source.
If you want to purchase the content e-mail me on dulith1989@gmail.com
Network Traffic Management also allows for the identification of network-intensive operations that can be incorporated into network planning and growth strategies. Network Traffic Management is used alongside other optimisation techniques like Application Traffic Management as part of an overall Application Delivery Network solution.
Computer networks a tanenbaum - 5th editioneepawan1809
This document is the front matter of a textbook on computer networks. It includes the title, copyright information, dedication, and table of contents. The textbook covers topics such as the physical layer, data link layer, network layer, transport layer, and examples of computer networks including the Internet, mobile networks, Ethernet, and wireless networks. It is intended to introduce students to the fundamental concepts and protocols of computer networking.
OLAP provides multidimensional analysis of large datasets to help solve business problems. It uses a multidimensional data model to allow for drilling down and across different dimensions like students, exams, departments, and colleges. OLAP tools are classified as MOLAP, ROLAP, or HOLAP based on how they store and access multidimensional data. MOLAP uses a multidimensional database for fast performance while ROLAP accesses relational databases through metadata. HOLAP provides some analysis directly on relational data or through intermediate MOLAP storage. Web-enabled OLAP allows interactive querying over the internet.
Overview of data communication and networkingSisir Ghosh
The document provides an overview of data communication and computer networks. It discusses the key components of data communication including senders, receivers, transmission media, messages, and protocols. It then describes different types of network connections and topologies including point-to-point, multipoint, bus, star, ring, mesh, and hybrid networks. Finally, it discusses network classification based on scale, including local area networks (LANs), metropolitan area networks (MANs), and wide area networks (WANs). The document also covers protocols, standards, and reference models like OSI and TCP/IP.
Encapsulation refers to the process of adding headers and trailers to data as it passes from higher to lower layers in a networking model. At each layer, additional headers are added containing information for that layer, and the data plus added headers are passed to the next lower layer. Decapsulation is the reverse process of removing these headers at each layer as data moves from lower to upper layers.
This document discusses data center networks. It describes how data centers contain large numbers of interconnected computing and storage nodes. It discusses challenges in data center network design including large scale, high energy consumption, and strict service requirements. It also describes different types of data center network infrastructures including intra and inter data center networks. For intra data center networks, it covers electrical, electrical/optical, and electrical/wireless topologies as well as traffic control methods.
This Presentation is about NoSQL which means Not Only SQL. This presentation covers the aspects of using NoSQL for Big Data and the differences from RDBMS.
Web services protocols allow for communication between organizations through shared standards like XML, SOAP, WSDL, and UDDI. Web services involve service providers that make services available through publishing, service registries for discovery, and service consumers that find and use services. Key aspects include describing services with WSDL, registering them in UDDI directories, and communicating requests and responses with SOAP messages over common protocols like HTTP.
Data warehousing involves assembling and managing data from various sources to provide an integrated view of enterprise information. A data warehouse contains consolidated, historical data used to support management decision making. It differs from operational databases by containing aggregated, non-volatile data optimized for queries rather than updates. The extract, transform, load (ETL) process migrates data from source systems to the warehouse, transforming it as needed. Process managers oversee loading, maintaining, and querying the warehouse data.
Circuit switching establishes a dedicated electrical path between source and destination before data transmission, but it wastes bandwidth if no data is being sent and has high initial delays. Store-and-forward switching breaks messages into packets that are transmitted independently between nodes, allowing more efficient use of bandwidth. Packet switching is commonly used as it offers better delay characteristics than message switching and requires less buffer storage than transmitting full messages.
The document discusses query processing and optimization. It describes the basic concepts including query processing, query optimization, and the phases of query processing. It also explains relational algebra operations like selection, projection, joins, and additional operations. The document then covers topics like query decomposition, analysis, normalization, simplification, and restructuring during query optimization. It discusses cost estimation and algorithms for implementing relational algebra operations and file organization.
This document provides an introduction to data warehousing. It defines key concepts like data, databases, information and metadata. It describes problems with heterogeneous data sources and fragmented data management in large enterprises. The solution is a data warehouse, which provides a unified view of data from various sources. A data warehouse is defined as a subject-oriented, integrated collection of historical data used for analysis and decision making. It differs from operational databases in aspects like data volume, volatility, and usage. The document outlines the extract-transform-load process and common architecture of data warehousing.
The document discusses multidimensional databases and data warehousing. It describes multidimensional databases as optimized for data warehousing and online analytical processing to enable interactive analysis of large amounts of data for decision making. It discusses key concepts like data cubes, dimensions, measures, and common data warehouse schemas including star schema, snowflake schema, and fact constellations.
The document discusses congestion control in computer networks. It defines congestion as occurring when the load on a network is greater than the network's capacity. Congestion control aims to control congestion and keep the load below capacity. The document outlines two categories of congestion control: open-loop control, which aims to prevent congestion; and closed-loop control, which detects congestion and takes corrective action using feedback from the network. Specific open-loop techniques discussed include admission control, traffic shaping using leaky bucket and token bucket algorithms, and traffic scheduling.
UDDI is a platform-independent framework for describing web services, discovering businesses, and integrating services over the Internet using a publicly available registry. It provides a standardized way to describe services, discover businesses, and view technical details through a registry implemented as a web service. Businesses can publish service descriptions to the registry to facilitate discovery and integration between services.
This document discusses web services and standards. It provides details on service descriptions using WSDL, service discovery with UDDI, and messaging with SOAP. WSDL is used to describe service interfaces and endpoints. UDDI allows services to be published and discovered in registries. SOAP defines the standard message format for web services communication, including envelopes, headers, and bodies. Common message exchange patterns like request-response are also covered.
This document discusses UDDI (Universal Description, Discovery and Integration), which is a standard for web services description and discovery. It contains an agenda for multiple sessions on UDDI that will cover topics like UDDI overview, plug and play, metadata, programming SDK, integration with BizTalk and updating an architecture repository with UDDI deliverables. The document also provides information on key UDDI concepts like its data model, APIs, behaviors, taxonomy and typical applications.
This document discusses UDDI (Universal Description, Discovery and Integration), which is a standard for web services registries. It contains 6 sessions that cover topics like UDDI overview, plug and play, metadata, programming SDKs, BizTalk integration, and delivering UDDI architecture. The agenda introduces UDDI and discusses its key concepts like the data model, APIs, behaviors, and policy. It also explains how UDDI organizes information into white pages (basic company info), yellow pages (service classifications), and green pages (technical details).
- WSDL is an XML language used to define web services and describe how to access them. It contains information about the interface semantics and administrative details of calling a web service.
- When developing a web service, its WSDL description and link are published to a UDDI repository so potential users can discover it. Users request the WSDL to learn how to form SOAP requests to access the service.
- UDDI is an industry initiative that defines specifications for describing and discovering web services using XML standards like SOAP and WSDL. It allows businesses to publish service descriptions and be discovered through a public registry.
Introduction to Web Services, UDDI, SOAP, WSDL, Web Service Architecture, Developing and deploying web services.
Ajax – Improving web page performance using Ajax, Programming in Ajax.
This document discusses XML web services and their components. It defines XML web services as software services exposed on the web through the SOAP protocol and described with WSDL and registered in UDDI. It describes how SOAP is used for communication, WSDL describes service interfaces, and UDDI allows for service discovery. Examples of web services are provided. The architecture of web services is shown involving clients, services, and standards. Finally, it discusses how XML data can be transformed to HTML for display in web pages using XSLT transformation rules.
Universal Description, Discovery and IntegrationKishan Patel
UDDI is a platform-independent framework that allows businesses to publish details about their web services and discover information about other businesses and their services. It provides a directory for storing metadata about web services in a standardized format. UDDI is built on XML, HTTP, SOAP and other common web standards. It allows businesses to register information about themselves, their services, and technical details about how to access those services to facilitate easier integration between businesses over the web.
The document discusses key concepts related to web services including XML, WSDL, SOAP, and UDDI. It provides details on each component and how they work together to enable integration and communication between systems. Examples are given around publishing a company's inventory availability as a web service and how different vendor applications can interact using web services despite being on different platforms.
What is the purpose of a WSDL to UDDI mapping model-Solutionthe purpos.docxearleanp
What is the purpose of a WSDL to UDDI mapping model?
Solution
the purpose of the mapping is :
The web services description language is an extensible Markup language , which describes the web services that represented as group of web endpoints that perform functions on messages.
A wsdl provides the description for the services that includes definitions as the abstract model which provides group of actions on the messages and also the concrete set of protocols that binds the operations with the messages an d the binding contains specification for the network endpoints.
Universal Description Discovery and Integration (UDDI) describes the set of methods for publishing and discovering detailed information as the description for the services.
By using UDDI it is possible for the entities that are required to describe business information as well as the service information.
Usually the WSDL contains the description about the data that is defined in the group of services as the complementary for the data identified in the UDDI archive .
Many different kinds of descriptions of services are supported by the UDDI .
.
UDDI is a specification for a distributed registry of web services. It allows businesses to publish information about their web services and discover information about other businesses and web services. UDDI uses XML structures like businessEntity, businessService, and bindingTemplate to store information about businesses, services they offer, and how to access those services. It also uses tModels to describe abstract concepts and WSDL to define service interfaces. Businesses use UDDI to publish their information and other businesses can search the registry to find web services to use.
Service-Finder presentation at ESTC2008servicefinder
The document discusses the Service-Finder project, which aims to realize web service discovery at web scale. Service-Finder will create a semantic search engine for web services by aggregating information from various sources and automatically generating semantic service descriptions. It will provide an easy-to-use web portal for users to search for and browse web services. The project expects to overcome limitations of previous approaches like UDDI and revolutionize the market for discovering public web services.
The document provides information about UDDI (Universal Description, Discovery and Integration), which is an XML-based registry standard for publishing and discovering Web services. It discusses key aspects of UDDI including its core data structures like business entities, services and bindings; how it is accessed via APIs; its relationship to other Web service standards like WSDL; and how UDDI registries work. It also covers related topics like Web services conversations defined in WSCL (Web Services Conversation Language) and business process execution defined in BPEL (Business Process Execution Language).
Efficient retrieval of web services using prioritization and clusteringAlexander Decker
This document discusses efficient retrieval of web services using prioritization and clustering. It proposes determining dominance relationships among service advertisements that considers multiple parameter degree of match (PDM) criteria. It introduces methods for prioritizing and clustering web services based on similarity measures and efficient algorithms like Transaction Knowledge Data Discovery (TKDD). The implementation retrieves web service description files, captures input/output parameters, compares them using similarity measures like Cosine and Jaccard, computes dominance scores, and prioritizes and clusters the retrieved web services.
The document discusses the history and components of web services. It describes how web services originated from earlier technologies like EDI and RPC and gained popularity with the development of XML, HTTP, and standards like SOAP, WSDL, and UDDI. It defines WSDL as an XML language for describing network services and their communication endpoints. WSDL allows abstract definitions of messages, port types, and bindings to be reused and associated with concrete protocols and data formats. It also introduces bindings for specific protocols like SOAP and HTTP.
The document discusses UDDI (Universal Description, Discovery and Integration), which is an XML-based standard for describing, publishing, and finding web services. It provides a high-level overview of UDDI, including that it allows for a distributed registry of web services and uses WSDL to describe web service interfaces. It also discusses the UDDI Business Registry, major components of the UDDI specification, core UDDI data structures like business entities and technical models, and how applications can programmatically access and search UDDI registries.
Web services use open standards like XML, SOAP, WSDL and UDDI to allow applications to communicate over the web. SOAP defines how to structure XML messages for web services to exchange information. RESTful web services use HTTP requests to access web resources and support different data formats like XML and JSON. Reliable messaging ensures messages are received exactly once and in order through acknowledgements.
The Universal Description, Discovery and Integration (UDDI) specifications define a way for businesses to publish information about their web services in a common XML format in distributed registries. This allows other businesses to programmatically discover what web services a business offers. The UDDI specifications establish a framework that businesses can use to locate partners that offer particular web services, find technical details about how services are accessed, and understand how their systems can interface with a partner's systems. The document provides an overview of UDDI's role in enabling programmatic discovery of web services between businesses.
The Universal Description, Discovery and Integration (UDDI) specifications define a way to publish and discover information about Web services through a distributed registry. UDDI registries allow businesses to publish technical details about their Web services so that other businesses can discover and interact with those services. The UDDI specifications establish a common XML format for businesses to describe their services in terms of "white pages" contact information, "yellow pages" industry categorizations, and "green pages" technical details. After reading the document, readers will have a clearer understanding of UDDI registries and how they enable the discovery and use of Web services across organizations.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMSIJNSA Journal
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
ACEP Magazine edition 4th launched on 05.06.2024Rahul
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
2. Players
• Ariba, IBM, Microsoft.
• The first specifications appeared in September, 2000
• The project gained momentum, combining efforts of more
than 300 companies.
• After the release of version 3 of the specification (July,
2002), the control of the UDDI project was handed over to
OASIS, a formal, independent standards organization.
• OASIS will determine the next steps for the UDDI
specification.
3. Goals of UDDI
• The primary goal of UDDI is the specification of a
framework for describing and discovering Web services.
• The core of UDDI resolves around the notion of business
registry, which is essentially a sophisticated naming and
directory service.
• UDDI defines data structures and APIs for publishing
service descriptions in the registry and for querying the
registry to look for published descriptions.
• UDDI APIs are also specified in WSDL with SOAP
binding, so that the registry can itself be accessed as a Web
service, its characteristics can be described in the registry
itself, just like any other Web service.
4. Goals of UDDI
UDDI registry specifications have two main goals
with respect to service discovery:
• First, to support developers in finding information
about services, so that they know how to write
clients that interact with those services.
• Second, to enable dynamic binding, by allowing
clients to query to the registry and obtain
references to services of interest.
• UDDI leaves room for both structured and
unstructured information.
5. Goals of UDDI
• UDDI also addresses the notion of Universal Business
Registry (UBR). The initial goal of the consortium was
supporting worldwide directories where everybody could
publish service description (essentially for free) and where
everybody could query these directories to find services of
interest.
• The idea was that UBRs could contain every service ever
deployed in the world.
• With time, the specifications evolved in the direction of
also supporting private registry implementations, in
conjunction with the interaction of private and public
implementations.
6. Information in UDDI Registry
• A simple way of categorizing the information
contained in a UDDI registry is in terms of what
each type of information is used for. This
categorization is best understood by means of an
analogy with the telephone directory:
• White pages: They are listings of organizations,
of contact information (e.g., telephone or e-mail
address), and of the services these organizations
provide. Using the registry as a white pages
catalogues, UDDI clients can find Web services
provided by a given business.
7. Information in UDDI Registry
• Yellow pages: They are classifications of
both companies and Web services according
to taxonomies that can be either
standardized or user-defined.
• Through yellow pages, it is possible to
search for services based on the category
they belong to, according to a given
classification scheme.
8. Information in UDDI Registry
• Green pages: This information described
how a given Web service can be invoked. It
is provided by means of pointers to service
description documents, typically stored
outside the registry (e.g. at the service
provider’s site).
9. UDDI Data Structures
• In the UDDI registry, Web service
descriptions contain four types of
information:
1. Business information
2. Service information
3. Binding information and
4. Information about specifications of
services, described by several entities.
10. UDDI Data Structures
The four main entities of the registry:
• businessEntity: It describes an organization that provides
Web services. It lists the company’s name, address, and other
contact information
• businessServices: This element describes a group of related
Web services offered by a businessEntity. Typically, a
businessService will correspond actually to one kind of
services (such as procurement or a travel reservation service),
but provided at different addresses, in multiple versions, and
through different technologies (e.g. different protocol
bindings). Business services, like business entities, can also
include classification information.
• A businessEntity entry can include multiple businessService
elements, but a businesService belongs to one and only one
businessEntity.
13. UDDI Data Structures
• bindingTemplate: This element describes the technical
information necessary to use a particular Web service.
Essentially, it defines the address at which the Web service
is made available along with a set of detailed information,
such as references to documents (called tModels)
describing the Web service interface or other service
properties.
• It also defines how operation parameters should be set and
the default values for such parameters. A businessService
entry can include multiple bindingTemplate elements (one
for each interface or address), but a bindingTemplate
belongs to one and only one businessService.
14. UDDI Data Structures
• tModel: The cryptic name stands for “technical
model”, and it is a generic container for any kind
of specification. For example, it could represent a
WSDL service interface, a classification, or an
interaction protocol, or it could describe the
semantics of an operation. Unlike the previous
entities, tModels are not subject to parent-child
relationships, and can be referred to by other
entities to denote conformance to an interface, or
to classify businesses or services.
15. UDDI Data Structures
• In summary, if we want to publish one or more services in
a UDDI registry, we first need to define a set of tModels
describing the different characteristics of the services (such
as WSDL service interface or an informal description of
what the service does).
• Note that some of tModels may be pre-existing, for
example in those cases where our services implement
standardized interfaces, and the corresponding tModels
have been defined and published by the corresponding
standardization consortium.
16. UDDI Data Structures
• We then publish our company information (a
businessEntity), general information about the
services we provide (a set of businessServices),
and a set of detailed technical information for each
different implementation and access point we
make available for the service (a
bindingTemplate). The technical descriptions will
contain references to the previously published
tModels.
17. Understanding tModels
• The tModel and the way it is used by the businessEntity,
businessService, and bindingTemplate elements, is really at
the heart of the UDDI specification. The key information
about a service is specified as a reference to a tModel.
• The structure of tModel is shown in the next figure.
• It describes the UDDI API, and specifically the operations
provided to publishers in order to advertise their services.
UDDI is itself a Web service, and as such it can be described
in a UDDI registry and has a WSDL interface.
• The actual content (the service description) resides within a
document (the overviewDoc) to thich the tModel points, but
that is stored outside the registry, typically at the publishers’
site.
19. Understanding tModels
• In principle, a tModel (or, rather, the overviewDoc refers
to) can represent anything and can be written in any
language. For example, one could define a tModel that
describes an interface for procurement service, and could
do so by referring to an overviewDoc that contains
specifications in natural language, WSDL, or in any other
language for describing interfaces.
• In the context of Web services, of course, the idea is that
the service description is done in WSDL.
• The tModel in previous figure includes two overviewDocs,
one referring to the WSDL specifications and another
containing a textual description of the API.
20. Understanding tModels
• The content of the overviewDoc, being unstructured, is typically meant
to be read by human beings, and not by automated system.
• Once a tModel is published with a UDDI registry, it is assigned a
unique key.
• This simple feature, together with the fact that many UDDI entries,
possibly belonging to different services or businesses, may refer to the
same tModel, is crucial to supporting both developers (design-time
discovery) and clients (run-time binding).
• Users can browse a UDDI registry, find services, examine the
references to tModels (expressed through the unique keys embedded
into bindingTemplate elements), read the tModels, and gain insights on
what the service does, what is the interface, and whatever other
information is included in the tModel. In this way, developers can
understand how to develop client applications.
21. Understanding tModels
• Assume that a developer knows that a certain tModel, say
tModel number 327, describes an interface for supply
chain services, as defined by a supply chain
standardization consortium. Then, not only can the
developer read the tModel to figure out how to write the
client application, but he/she can also program the client so
that it dynamically binds to a service that supports this
standard interface; all that is needed is to program the
client so that it searches a UDDI registry for services
whose bindingTemplate references tModel 327.
• UDDI does not impose languages for describing interfaces,
properties, or semantics. This is left to other
standardization consortia, and is considered irrelevant from
a discovery and binding descriptions.
22. Understanding tModels
• Such an open approach enables flexibility and makes
UDDI robust to evolution in the Web services scenario. It
would simply be impossiblento “hardcode” into the UDDI
structure a collection of different standards there are too
many and they keep evolving.
• tModels can be used for more than just interfaces and
protocols. They ate used in UDDI for identification and
classification. In fact, trying to come up with a limited set
of classifications or identification schemes (e.g. assuming
that everybody has a PAN as unique identified) would be
too inflexible.
• A number of different schemes are used in different
industries and countries.
23. Understanding tModels
• Anyone can define a classification scheme in a tModel
(say, a geographical classification scheme that divides the
world into Europe, Asia, Australia, America, and Africa).
• A full description of the classification would be contained
in the overviewDoc pointed to by the tModel. Then, entries
in the registry can refer to this tModel and state that, with
respect to it, they are classified as “Europe”.
• Again if the unique key of the tModel defining the
classification is known (say, key number 441), then clients
can programmatically search for all businesses or services
that, with respect to tModel 441, are classified as “Europe”
or “Africa” or something else.
24. Understanding tModels
• Just like businesses and services, tModels can
themselves reference other tModels, for example
for classification purposes. This is also the case of
the tModel as shown in previous figure, which
refers to other tModels for classifying the
information it is providing.
• In addition to allowing custom taxonomies, UDDI
also defines a categorization scheme (a specific
tModel) that can be used to classify other tModels.
25. Understanding tModels
• This predefined classification scheme is
defined by a tModel called uddi-org:types,
and allows a developer to state, for
example, that a tModel defines a WSDL
interface or a SOAP message. In this way,
clients can search for all tModels that are
about WSDL descriptions or SOAP
messages.
26. UDDI Registry API
• UDDI registries have three main types of
users to whom they expose their API:
1. service providers that publish services,
2. requesters that look for services, and
3. Other registries that need to exchange
information.
• These clients can access the registry
through six sets of APIs:
27. UDDI Registry API
• The UDDI Inquiry API includes operation to
find registry entries that satisfy search criteria and
to get overview information about those entities
(find_business, find_service, find_binding,
find_tModel), and operations that provide details
about a specific entity (get_businessDetail,
get_serviceDetail, get_bindingDetail,
get_tModelDetail). This API is meant to be used
by UDDI browser tools that help developers find
information and by clients at run-time, for
dynamic binding.
28. UDDI Registry API
• The UDDI Publisher API is directed to service
providers. It enables them to add, modify, and
delete entries in the registry. Examples of
operations it supports are save_business,
save_service, save_binding and save_tModel for
creating or modifying entries and delete_business,
delete_service, delete_binding and delete_tModel
for removing entries. Upon publication, the
registry also assigns unique keys to the newly
added entries.
29. UDDI Registry API
• The UDDI Security API allows UDDI users to
get and discard authentication tokens to be used in
further communication with registry
(get_authToken, discard_authToken).
• The UDDI Custody and Ownership Transfer
API enable registries to transfer the “custody” of
information among themselves and to transfer
ownership of these structures from one publisher
to another. Messages exchanged in this API
include get_transferToken, transfer_entities, and
transfer_custody.
30. UDDI Registry API
• The UDDI Subscription API enables the
monitoring of changes in a registry by
subscribing to track new, modified, and
deleted entries. The Subscription API
includes the following operations: delete_
subscription, get_subscriptionResults,
get_subscriptions and save_subscriptions.
31. UDDI Registry API
• The UDDI Replication API supports
replication of information between
registries, so that different registries can be
kept synchronized.
• UDDI registries maintain different access
points (URIs) for requesters, publishers and
other registries.
33. UDDI Registry API
• Each of these registries exposes an Inquiry API
and a Publisher API for service requestors and
providers to use, and Subscription, Replication,
and Custody Transfer APIs for communicating
with other UDDI registries.
• One reason for access point separation is that
inquiries do not require authentication (they are
standard HTTP) while other invocations require
users to authenticate themselves with the registry
(thru HTTPS)
34. UDDI Registry API
• Interaction with a UDDI registry takes place as a
series of exchanges of XML documents, typically
using SOAP. UDDI specifies the possible message
exchanges in terms of requests and responses. It
also specifies the structure of the XML documents
included in the messages.
• These details are hidden from the developer and
user of Web services. Application servers today
provide facilities both for publishing services in a
UDDI registry and for searching the registry.
35. UDDI Registry API
• Interaction between registries is needed essentially for two
purposes: transferring the custody of an entry and
replicating information. Replication occurs according to
protocols defined by UDDI, and it is used to keep
registries synchronized on either a local or a global scale,
depending on the nature of the registry.
• Although the information is replicated, each entry is
“owned” by a single registry that, using UDDI
terminology, has the custody of the entry. The registry that
has the custody is the one the publisher has contarcted
when creating the new entry. Modifications to an entry can
only be made at the registry that has the custody.
36. UDDI Registry API
• In some cases, publishers may request to
transfer the custody to another registry,
perhaps because the previous custodian is
ceasing operations or because of contractual
agreements. This triggers an inter-registry
communication that occurs through Custody
Transfer API.
37. Searching the UDDI Registry
• From a user’s perspective, the most important of
these APIs is the Inquiry API, which is kept
simple.
• Registry providers may offer additional query
facilities, perhaps by charging a fee.
• Recently several proposals have appeared: to
extend UDDI to support discovery of resources
according to characteristics (expected search time)
that can change frequently and that are maintained
by the service provider.
38. Searching the UDDI Registry
• An initial proposal has been made for the UDDI
Search Markup Language (USML), an XML-
based protocol for carrying out a UDDI search
request, including multiple queries, keywords,
UDDI sources, and aggregation operators.
• UDDI does not propagate from one registry to
another. UDDI registries may replicate repository
data in a P2P fashion, UDDI queries are not
propagated between registries.
• Publisher often misinterpret the meaning of the
different fields in the UDDI data structures.
39. Public and Private Registries
• UDDI was launched to function Universal Business
Registry (UBR)
• Few key companies were declared to be UDDI
operators who would host public UBRs instaces,
e.g. IBM and Microsoft host UBRs.
• UBRs must comply with the rules defines by the
UDDI specification, and are supervised by OASIS.
• The content of registry must be kept consistent with
the content of other UBRs, and changes in
publications must be propagated to the other
registries.
40. Public and Private Registries
• Public registry: provides open and public access to
registry data.
• Private registry: an internal registry isolated
behind a firewall of a private intranet. An
enterprise might use such a registry to support the
integration of its own internal applications.
• Shared and semi-private registry: is deployed
within a controlled environment and is shared with
trusted partners.