This document discusses approaches for achieving interoperability between coalition systems. It defines a system of systems as a collection of independent systems that pool resources to achieve greater functionality. Interoperability is identified as the key requirement for a system of systems. Different levels of interoperability are described from no interoperability to conceptual interoperability. The document advocates using a formal language and rigorous process for data modeling to define data in a system of systems. This would allow different systems to exchange data unambiguously and achieve semantic interoperability. It presents RTI's data-centric integration solution as an approach that provides technical, syntactic and semantic interoperability between legacy and new systems using common data definitions.
This document describes a project to interface an application with a master product database. It discusses functional and technical overviews of change requests, cancellation requests, approval/routing processes, and generating NOPC reports. It also covers testing plans and provides information on using AngularJS to develop a single page application for the NOPC report. Diagrams illustrate the technical processes and flowcharts depict the functional workflows. The project aims to integrate an application with a centralized product database to support change management.
Modelled and Analysed the watershed Dynamics in Mahanadi River Basin. Finally came up with watershed Management Plan to minimise the future LUCC in Mahanadi River Basin
Sirius Web Advanced : Customize and Extend the PlatformObeo
Beyond the no code approach, Sirius Web is an open and extensible platform that you can customize in order to support your needs. Discover how to develop specific features in Sirius Web and integrate your modeler with other web applications.
Stéphane Bégaudeau, Obeo
Stéphane Bégaudeau graduated from the Nantes University of Sciences and Technology and is currently working as an Eclipse Modeling consultant at Obeo in France.
This document provides guidance on assessing the strength of members and connections for lattice towers and masts. It defines key terms and describes common structural configurations for lattice towers and masts. It also provides methods for determining the effective length and slenderness of members based on their end conditions and bracing patterns. Design strengths are determined using characteristic strengths and appropriate partial safety factors.
Taking Advantage of a Spatial Database with MapInfo ProfessionalPeter Horsbøll Møller
The MapInfo tab file is a great storage for your spatial data, but you can also find a number of advantages by using a spatial database such as SQL Server 2008, Oracle or PostGIS.
In this session we will take a look at how you can take advantage of a spatial database with MapInfo Professional.
Offshore pile design according to international practiceWeb2Present
In this webinar, industry leading organizations present:
- Learnings from project Borkum West 2, one of German´s most advanced offshore wind projects
- The challenges of the piling design and results of the geotechnical investigation
- Recommendations and observations about potential hazards or obstruction during the foundation installation
Register for free here:
http://www.web2present.com/upcoming-webinars-details.php?id=116
Reinforced Concrete - understanding Rebar notations and bending schedulesDaleWarburton1
The document discusses how to understand reinforced concrete drawings. It explains that the first step is to understand the drawings by learning how to read the plans and member rebar schedules. It then breaks down rebar notations, providing examples of notation breakdown and explaining shape codes. Dimensional details for rebar bending are also shown and described.
A common need in system architecture design is to verify that if the architect is correct and can satisfy its requirements.
Execution of system architect model means to interact with state machines to test system’s control logic. It can verify if the logical sequences of functions and interfaces in different scenarios are desired.
However, only sequence itself is not enough to verify its consequence or output. So we need each function to do what it is supposed to do during model execution to verify its output, and that is what we called “simulation”.
This presentation introduced how to embed Python or MATLAB® codes inside functions to do “simulation” within Capella.
This document describes a project to interface an application with a master product database. It discusses functional and technical overviews of change requests, cancellation requests, approval/routing processes, and generating NOPC reports. It also covers testing plans and provides information on using AngularJS to develop a single page application for the NOPC report. Diagrams illustrate the technical processes and flowcharts depict the functional workflows. The project aims to integrate an application with a centralized product database to support change management.
Modelled and Analysed the watershed Dynamics in Mahanadi River Basin. Finally came up with watershed Management Plan to minimise the future LUCC in Mahanadi River Basin
Sirius Web Advanced : Customize and Extend the PlatformObeo
Beyond the no code approach, Sirius Web is an open and extensible platform that you can customize in order to support your needs. Discover how to develop specific features in Sirius Web and integrate your modeler with other web applications.
Stéphane Bégaudeau, Obeo
Stéphane Bégaudeau graduated from the Nantes University of Sciences and Technology and is currently working as an Eclipse Modeling consultant at Obeo in France.
This document provides guidance on assessing the strength of members and connections for lattice towers and masts. It defines key terms and describes common structural configurations for lattice towers and masts. It also provides methods for determining the effective length and slenderness of members based on their end conditions and bracing patterns. Design strengths are determined using characteristic strengths and appropriate partial safety factors.
Taking Advantage of a Spatial Database with MapInfo ProfessionalPeter Horsbøll Møller
The MapInfo tab file is a great storage for your spatial data, but you can also find a number of advantages by using a spatial database such as SQL Server 2008, Oracle or PostGIS.
In this session we will take a look at how you can take advantage of a spatial database with MapInfo Professional.
Offshore pile design according to international practiceWeb2Present
In this webinar, industry leading organizations present:
- Learnings from project Borkum West 2, one of German´s most advanced offshore wind projects
- The challenges of the piling design and results of the geotechnical investigation
- Recommendations and observations about potential hazards or obstruction during the foundation installation
Register for free here:
http://www.web2present.com/upcoming-webinars-details.php?id=116
Reinforced Concrete - understanding Rebar notations and bending schedulesDaleWarburton1
The document discusses how to understand reinforced concrete drawings. It explains that the first step is to understand the drawings by learning how to read the plans and member rebar schedules. It then breaks down rebar notations, providing examples of notation breakdown and explaining shape codes. Dimensional details for rebar bending are also shown and described.
A common need in system architecture design is to verify that if the architect is correct and can satisfy its requirements.
Execution of system architect model means to interact with state machines to test system’s control logic. It can verify if the logical sequences of functions and interfaces in different scenarios are desired.
However, only sequence itself is not enough to verify its consequence or output. So we need each function to do what it is supposed to do during model execution to verify its output, and that is what we called “simulation”.
This presentation introduced how to embed Python or MATLAB® codes inside functions to do “simulation” within Capella.
AVEVA Diagrams 12.0 allows for the easy creation of piping and instrumentation diagrams (P&IDs) and HVAC diagrams that fully integrate with the model database. It provides a fast and efficient solution for creating diagrams. As the diagrams are constructed, design information is created in a schematic model database that can be effectively managed and accessed. The diagrams integrate with the 3D modeling applications AVEVA PDMS and AVEVA Outfitting, allowing consistency between the schematic design and 3D model.
Connecting Textual Requirements with Capella Models Obeo
This document provides information about a webinar hosted by The REUSE Company in 2022. It introduces the two presenters, José Fuentes and Jose Pereira, and provides details about their backgrounds and qualifications. It also outlines the contents of the webinar, which will include an introduction to The REUSE Company, a demonstration of using textual requirements with Capella, and a question and answer session.
The Microsoft Azure and Oracle Cloud Interconnect Everything You Need to KnowRevelation Technologies
Bank in 2019, Microsoft and Oracle announced a partnership enabling customers to migrate and run mission-critical enterprise workloads across Microsoft Azure and Oracle Cloud.
This extremely low-latency, private connection can distribute workload, and it opens a world of possibilities including deploying applications using the best of Oracle Cloud and Microsoft Azure. Scenarios such as running Oracle E-Business Suite in Azure with its databases operating in Oracle Cloud are now entirely possible.
Highlights on the current offerings, support and licensing models, details on performance, and a list of pitfalls are covered in this presentation. Join this presentation to learn more about what the Oracle and Microsoft partnership is all about, how it works, and what this means for cloud interoperability.
The document presents a presentation on Geographic Information Systems (GIS). It includes sections on what GIS is, its capabilities and components. GIS is a computer system for capturing, storing, analyzing and managing geographic information and spatial data. The key components of a GIS include hardware, software, data and people. GIS has many applications and uses spatial data and analysis to solve problems across many different domains.
This document outlines the syllabus for a course on Geographic Information Systems (GIS). It is divided into 5 units that cover fundamentals of GIS, spatial data models, data input and topology, data analysis, and applications of GIS. The objectives of the course are to introduce students to the basic concepts of GIS and provide an understanding of spatial data structures, management processes, and analysis tools.
LES Energy Services Ltd. is a Nigerian Indigenous Company founded in 2007. With a Corporate office in Lagos and an Operational Base in Port Harcourt, we specialize in the provision of Operations and Maintenance of Oil and Gas Facilities, Engineering, Fabrication, Emergency Response Services, Valve Maintenance and Safety Systems, Civil Works, Procurement, Marine and Offshore Services, Training and Specialized Recruitment Services.
The document discusses real-time data and the PI System for managing it. The PI System collects real-time data from various sources, historizes large volumes of data reliably over long periods, and allows users to find, analyze, deliver, and visualize the data. It provides a comprehensive view of operational information through intuitive visuals to help users make informed decisions.
This document discusses key concepts related to data in GIS systems. It describes the different types of spatial and attribute data as well as vector and raster data formats. It explains how data is organized into layers and how those layers can be queried and overlaid to integrate information from different sources and analyze spatial patterns in the data.
This document provides an overview and agenda for the Interoperable Open Architecture (IOA) USA 2013 event. It discusses how IOA aims to address budget cuts in defense markets by rethinking procurement strategies to reduce integration costs and allow for more affordable and interoperable systems. It provides background on proof points showing a shift towards more open and interoperable architectures and explains how IOA differs from traditional Open Architecture approaches by ensuring systems can inherently interoperate at the architectural level.
SSTRM - StrategicReviewGroup.ca - Comtois C4I Montreal March 2010Phil Carr
The document outlines future requirements for C4I (command, control, communications, computers, and intelligence) capabilities for soldiers over the next 5-15 years. It discusses the need for accurate geo-location of friendly forces, secure communication between soldiers and between soldiers and vehicles/command centers, and integrated displays and interfaces that provide relevant information without overloading soldiers. The goal is to increase soldiers' situational awareness and fighting capabilities while minimizing additional weight, volume, power needs, and cognitive burden.
This document summarizes technology needs and gaps for satellite communications, tactical communications, and navigation systems. It identifies needs such as improved antennas with better gain-to-temperature ratios and reduced side lobes, more efficient amplifiers, and jam-resistant modems. It also outlines gaps including alternatives to space-based satellites, RF interference mitigation, and dynamic bandwidth interfaces. Additionally, it describes several Small Business Innovation Research projects aimed at addressing these needs, such as a cryogenic analog RF module to increase receive rates and a bandwidth analysis toolkit to model bandwidth demand. It provides points of contact for science and technology issues.
IDCC Workshop: Analysing DMPs to inform research data services: lessons from ...Amanda Whitmire
A workshop as part of the International Digital Curation Conference 2016 on DMP development and support. This presentation demonstrates how we can use data management plans as a source of information to better understand researcher data stewardship practices and how to support them. Be sure to see the slide notes to better understand the presentation (most slides are just photos/icons).
Interoperability for Intelligence Applications using Data-Centric MiddlewareGerardo Pardo-Castellote
Presentation at the May 2012 Intelligence Workshop held in Rome Italy.
Interoperability is key to reducing cost in the development and maintenance of applications that span multiple providers or must be supported over long periods of time. This presentation describes the role of network middleware technologies in such systems and how the use of a data-centric middleware, such as OMG DDS, makes developing such systems easier and more cost-effective.
Towards Enterprise Interoperability Service UtilitiesBrian Elvesæter
This document discusses the development of baseline enterprise interoperability (EI) services as part of the COIN project. It provides an overview of EI challenges and proposes an EI services framework. A state-of-the-art analysis of existing EI tools from FP6 projects is presented. Based on this, 11 proposed baseline EI services across various categories like model-driven, semantic mediation, and data interoperability are described. The benefits of these services for reducing integration costs and enabling collaboration are highlighted. The conclusions discuss positioning the COIN platform to offer these EI services as utilities according to the Software-as-a-Service model.
Web Services Presentation - Introduction, Vulnerabilities, & CountermeasuresPraetorian
The concept of web services has become ubiquitous over the last few years. Frameworks are now available across many platforms and languages to greatly ease and expedite the development of web services, often with a vast amount of existing code reuse. Software companies are taking advantage of this by integrating this technology into their products giving increased power and interoperability to their customers. However, the power web services enables also introduces new risks to an environment. As with web applications, development has outpaced the understanding and mitigation of vulnerabilities that arise from this emerging technology. This presentation will first aim to identify the risks associated with web services. We will describe the existing security standards and technologies which target web services (i.e., WS-Security) including its history, pros and cons, and current status. Finally we will attempt to extrapolate the future of this space to determine what changes must be made going forward.
Praetorian's goal is to help our clients understand minimize their overall security exposure and liability. Through our services, your organization can obtain an accurate, independent security assessment.
Semantic interoperability courses training module 1 - introductory overview...Semic.eu
This document provides an introduction and overview of semantic interoperability and existing initiatives. It defines key terms like interoperability and semantic interoperability. It explains that semantic interoperability ensures the precise meaning of exchanged information is preserved. It also discusses potential conflicts like data-level conflicts due to different representations of data and schema-level conflicts due to different logical structures. The document outlines existing initiatives to achieve semantic interoperability like the ISA Programme, INSPIRE Data Models, UN/CEFACT, and NIEM.
PragmaticWeb 4.0 - Towards an active and interactive Semantic Media WebAdrian Paschke
Keynote at W3C Regional Event - Aspects of Semantic Technologies; Fachtagung Semantische Technologien26.-27. September 2013 | HU Berlin
http://semantic-media-web.de/referenten/?detail=33
2010 ea conf ra track presentation 20100506Andy Maes
The document provides an overview of a presentation on reference architecture tracks at the 2010 EA Conference. It includes an agenda that covers an Enterprise Reference Architecture Cell overview, reference architecture principles and patterns, the Enterprise-wide Access to Network and Collaboration Services reference architecture, and the DoD Information Enterprise Architecture. The presentation describes the purpose and process for developing reference architectures to provide guidance for architectures and solutions across the Department of Defense. It then provides more details on the Enterprise-wide Access to Network and Collaboration Services reference architecture as an example.
This document discusses using an Enterprise Service Bus (ESB) architecture as an interoperability and resource sharing platform in the cloud. It describes the need for cloud interoperability and discusses current challenges and efforts related to data/semantic interoperability and customer lock-in. The document proposes using a service bus with light-weight bindings to provide location decoupling and integration of applications and platforms across different cloud providers in a standardized way. Key aspects of the proposed architecture include a virtualization layer, service repository/registry, and composable middleware.
The document discusses the concept of "Hotspots" where creativity and collaboration flourish. It describes Hotspots as having four key elements - Mindset, Boundary Spanning, Igniting Purpose, and Execution. These elements are further defined as certain attitudes and practices, willingness to work across boundaries, an energizing vision and tasks, and signature practices that enable implementation. The presentation provides examples of how these elements could be assessed and leveraged within an organization to promote innovation.
AVEVA Diagrams 12.0 allows for the easy creation of piping and instrumentation diagrams (P&IDs) and HVAC diagrams that fully integrate with the model database. It provides a fast and efficient solution for creating diagrams. As the diagrams are constructed, design information is created in a schematic model database that can be effectively managed and accessed. The diagrams integrate with the 3D modeling applications AVEVA PDMS and AVEVA Outfitting, allowing consistency between the schematic design and 3D model.
Connecting Textual Requirements with Capella Models Obeo
This document provides information about a webinar hosted by The REUSE Company in 2022. It introduces the two presenters, José Fuentes and Jose Pereira, and provides details about their backgrounds and qualifications. It also outlines the contents of the webinar, which will include an introduction to The REUSE Company, a demonstration of using textual requirements with Capella, and a question and answer session.
The Microsoft Azure and Oracle Cloud Interconnect Everything You Need to KnowRevelation Technologies
Bank in 2019, Microsoft and Oracle announced a partnership enabling customers to migrate and run mission-critical enterprise workloads across Microsoft Azure and Oracle Cloud.
This extremely low-latency, private connection can distribute workload, and it opens a world of possibilities including deploying applications using the best of Oracle Cloud and Microsoft Azure. Scenarios such as running Oracle E-Business Suite in Azure with its databases operating in Oracle Cloud are now entirely possible.
Highlights on the current offerings, support and licensing models, details on performance, and a list of pitfalls are covered in this presentation. Join this presentation to learn more about what the Oracle and Microsoft partnership is all about, how it works, and what this means for cloud interoperability.
The document presents a presentation on Geographic Information Systems (GIS). It includes sections on what GIS is, its capabilities and components. GIS is a computer system for capturing, storing, analyzing and managing geographic information and spatial data. The key components of a GIS include hardware, software, data and people. GIS has many applications and uses spatial data and analysis to solve problems across many different domains.
This document outlines the syllabus for a course on Geographic Information Systems (GIS). It is divided into 5 units that cover fundamentals of GIS, spatial data models, data input and topology, data analysis, and applications of GIS. The objectives of the course are to introduce students to the basic concepts of GIS and provide an understanding of spatial data structures, management processes, and analysis tools.
LES Energy Services Ltd. is a Nigerian Indigenous Company founded in 2007. With a Corporate office in Lagos and an Operational Base in Port Harcourt, we specialize in the provision of Operations and Maintenance of Oil and Gas Facilities, Engineering, Fabrication, Emergency Response Services, Valve Maintenance and Safety Systems, Civil Works, Procurement, Marine and Offshore Services, Training and Specialized Recruitment Services.
The document discusses real-time data and the PI System for managing it. The PI System collects real-time data from various sources, historizes large volumes of data reliably over long periods, and allows users to find, analyze, deliver, and visualize the data. It provides a comprehensive view of operational information through intuitive visuals to help users make informed decisions.
This document discusses key concepts related to data in GIS systems. It describes the different types of spatial and attribute data as well as vector and raster data formats. It explains how data is organized into layers and how those layers can be queried and overlaid to integrate information from different sources and analyze spatial patterns in the data.
This document provides an overview and agenda for the Interoperable Open Architecture (IOA) USA 2013 event. It discusses how IOA aims to address budget cuts in defense markets by rethinking procurement strategies to reduce integration costs and allow for more affordable and interoperable systems. It provides background on proof points showing a shift towards more open and interoperable architectures and explains how IOA differs from traditional Open Architecture approaches by ensuring systems can inherently interoperate at the architectural level.
SSTRM - StrategicReviewGroup.ca - Comtois C4I Montreal March 2010Phil Carr
The document outlines future requirements for C4I (command, control, communications, computers, and intelligence) capabilities for soldiers over the next 5-15 years. It discusses the need for accurate geo-location of friendly forces, secure communication between soldiers and between soldiers and vehicles/command centers, and integrated displays and interfaces that provide relevant information without overloading soldiers. The goal is to increase soldiers' situational awareness and fighting capabilities while minimizing additional weight, volume, power needs, and cognitive burden.
This document summarizes technology needs and gaps for satellite communications, tactical communications, and navigation systems. It identifies needs such as improved antennas with better gain-to-temperature ratios and reduced side lobes, more efficient amplifiers, and jam-resistant modems. It also outlines gaps including alternatives to space-based satellites, RF interference mitigation, and dynamic bandwidth interfaces. Additionally, it describes several Small Business Innovation Research projects aimed at addressing these needs, such as a cryogenic analog RF module to increase receive rates and a bandwidth analysis toolkit to model bandwidth demand. It provides points of contact for science and technology issues.
IDCC Workshop: Analysing DMPs to inform research data services: lessons from ...Amanda Whitmire
A workshop as part of the International Digital Curation Conference 2016 on DMP development and support. This presentation demonstrates how we can use data management plans as a source of information to better understand researcher data stewardship practices and how to support them. Be sure to see the slide notes to better understand the presentation (most slides are just photos/icons).
Interoperability for Intelligence Applications using Data-Centric MiddlewareGerardo Pardo-Castellote
Presentation at the May 2012 Intelligence Workshop held in Rome Italy.
Interoperability is key to reducing cost in the development and maintenance of applications that span multiple providers or must be supported over long periods of time. This presentation describes the role of network middleware technologies in such systems and how the use of a data-centric middleware, such as OMG DDS, makes developing such systems easier and more cost-effective.
Towards Enterprise Interoperability Service UtilitiesBrian Elvesæter
This document discusses the development of baseline enterprise interoperability (EI) services as part of the COIN project. It provides an overview of EI challenges and proposes an EI services framework. A state-of-the-art analysis of existing EI tools from FP6 projects is presented. Based on this, 11 proposed baseline EI services across various categories like model-driven, semantic mediation, and data interoperability are described. The benefits of these services for reducing integration costs and enabling collaboration are highlighted. The conclusions discuss positioning the COIN platform to offer these EI services as utilities according to the Software-as-a-Service model.
Web Services Presentation - Introduction, Vulnerabilities, & CountermeasuresPraetorian
The concept of web services has become ubiquitous over the last few years. Frameworks are now available across many platforms and languages to greatly ease and expedite the development of web services, often with a vast amount of existing code reuse. Software companies are taking advantage of this by integrating this technology into their products giving increased power and interoperability to their customers. However, the power web services enables also introduces new risks to an environment. As with web applications, development has outpaced the understanding and mitigation of vulnerabilities that arise from this emerging technology. This presentation will first aim to identify the risks associated with web services. We will describe the existing security standards and technologies which target web services (i.e., WS-Security) including its history, pros and cons, and current status. Finally we will attempt to extrapolate the future of this space to determine what changes must be made going forward.
Praetorian's goal is to help our clients understand minimize their overall security exposure and liability. Through our services, your organization can obtain an accurate, independent security assessment.
Semantic interoperability courses training module 1 - introductory overview...Semic.eu
This document provides an introduction and overview of semantic interoperability and existing initiatives. It defines key terms like interoperability and semantic interoperability. It explains that semantic interoperability ensures the precise meaning of exchanged information is preserved. It also discusses potential conflicts like data-level conflicts due to different representations of data and schema-level conflicts due to different logical structures. The document outlines existing initiatives to achieve semantic interoperability like the ISA Programme, INSPIRE Data Models, UN/CEFACT, and NIEM.
PragmaticWeb 4.0 - Towards an active and interactive Semantic Media WebAdrian Paschke
Keynote at W3C Regional Event - Aspects of Semantic Technologies; Fachtagung Semantische Technologien26.-27. September 2013 | HU Berlin
http://semantic-media-web.de/referenten/?detail=33
2010 ea conf ra track presentation 20100506Andy Maes
The document provides an overview of a presentation on reference architecture tracks at the 2010 EA Conference. It includes an agenda that covers an Enterprise Reference Architecture Cell overview, reference architecture principles and patterns, the Enterprise-wide Access to Network and Collaboration Services reference architecture, and the DoD Information Enterprise Architecture. The presentation describes the purpose and process for developing reference architectures to provide guidance for architectures and solutions across the Department of Defense. It then provides more details on the Enterprise-wide Access to Network and Collaboration Services reference architecture as an example.
This document discusses using an Enterprise Service Bus (ESB) architecture as an interoperability and resource sharing platform in the cloud. It describes the need for cloud interoperability and discusses current challenges and efforts related to data/semantic interoperability and customer lock-in. The document proposes using a service bus with light-weight bindings to provide location decoupling and integration of applications and platforms across different cloud providers in a standardized way. Key aspects of the proposed architecture include a virtualization layer, service repository/registry, and composable middleware.
The document discusses the concept of "Hotspots" where creativity and collaboration flourish. It describes Hotspots as having four key elements - Mindset, Boundary Spanning, Igniting Purpose, and Execution. These elements are further defined as certain attitudes and practices, willingness to work across boundaries, an energizing vision and tasks, and signature practices that enable implementation. The presentation provides examples of how these elements could be assessed and leveraged within an organization to promote innovation.
The document discusses building an innovation ecosystem within the public sector. It describes Christian Bason's framework of the 4Cs - Co-creation, Consciousness, Courage, and Capability. For each C, it asks questions organizations should consider to develop their innovation culture and processes. It also outlines Deloitte's three horizons framework to align innovation challenges and strategies over different time periods. Finally, it examines internal elements organizations can focus on to strengthen the four aspects of an innovation ecosystem.
El documento describe C4ISR (Command, Control, Communications, Computers, Inteligence, Surveillance, Reconnaissance), una arquitectura militar para la integración de sistemas de información entre las ramas del ejército de los Estados Unidos. Explica que C4ISR incluye tres vistas (sistemas, operacional y técnica) y muestra las etapas para su diseño e implementación.
While swarming has been successfully demonstrated in unmanned vehicles, the underlying assumption was that the swarm was made up of UVs of the same type from the same developer. The next challenge is Air Vehicle (AV) Teaming; Co-ordinated AV’s of different types, potentially from different manufacturers, manned and unmanned, working together. This session covers recent advances in system and system-of-system architecture theory & practice, and demonstrates how common data architecture enables interoperable & dynamic implementation of teaming. The key advance is the data-centric architecture detailing the semantic context of information exchanged over AV system-interface boundaries. The definition of interoperable data architecture, and how to build in semantics for auto-discovery of AV capability, is covered along with examples of how to create a context-based (semantic) architecture. As a summary, current industry initiatives towards interoperable architectures will be highlighted.
Watch the replay: http://event.on24.com/r.htm?e=830086&s=1&k=BF6DC01D4350A4D22655D80CBED9B3C5&partnerref=rti
Economic realities dictate that "new" distributed systems are almost never entirely new creations. Existing capabilities which cannot be readily duplicated at minimal cost are often necessary and even critical components of otherwise new systems. How we address achieving interoperability with these legacy systems – whose data and interfaces are often less than completely defined – can be a critical cost and schedule risk item.
Open standards such as the DoD's UAS Control Segment (UCS) Architecure and the Open Group's Future Airborne Capability Environment (FACE) provide architecture and data design standards which support new development and provide a means of rigorously capturing the data semantics of information in existing interfaces. At the protocol and implementation level, the OMG's Data Distribution Service (DDS) standard provides proven, cost effective design patterns which support the bridging and/or the migration of existing systems with new, open architectures.
Speaker: Mark Swick, Principal Applications Engineer, RTI
The Role of the Architect in ERP and PDM System DeploymentGlen Alleman
The architect’s role in the development of an ERP or PDM system is to maintain the integrity of the vision statement produced by the owners, users, and funders of the system.
How do we integrate agile delivery with the complexities of the legacy enterprise environment?
Agile is fast moving and takes no prisoners, yet in an enterprise system delivery context the agile delivery could be be dependent on the legacy un-agile enterprise that holds the data and business processing logic.
How are these diverse elements integrated?
This is one person's point of view...
The document discusses foundational practices for achieving effective observability in serverless solutions. It recommends centralizing telemetry data to allow correlation across distributed systems. It also suggests leveraging native metrics from cloud services and taking a holistic view across all components involved in requests. Key practices include using structured metadata, pushing data rather than scraping, looking for patterns to define alerts, and using observability insights to automate limits and quotas. Tracing is identified as critically important for serverless applications.
This document discusses the importance of architecture and standards for e-government projects. It explains that enterprise architecture helps align different components of e-government to meet business needs and promote interoperability. Open standards are also emphasized as they optimize options, reduce costs and risks, and enable interoperability. The document outlines target areas for standard-setting like technology, data, processes and quality. It presents a functional model for an e-government standards institution to develop and approve standards, guidelines and specifications to achieve notable success in large e-government programs.
Agility is the tool gilb vilnius 9 dec 2013tom gilb
Build Stuff 13, 9.12.2013 Monday 1600-1700,
Vilnius, Lithuania, #BuildStuffLT
‘Agility is the TOOL, not the Master’ : Practical Agile Systems Engineering Tools including My Ten Key Agile Principles and several case studies
Scaling Application Development & Delivery across the EnterpriseCollabNet
Software and applications are core to your business. Agile project planning and management have gone mainstream and the rest of the delivery chain has yet to catch up. According to Forrester 87% of organizations have not connected their Agile project planning to their downstream delivery processes. Organizations who are successful at the workgroup level are further challenged with scaling these successes across an entire enterprise.
Automate Yourself Out of a Job: Safely Delegate the Management of your Azure...Rundeck
Running Operations is not an easy job, especially these days. Ops teams have to ensure excellent user experiences, resolve incidents quickly and help developers stay productive. Yet at the same time, there is also the need to maintain systems security and keep downtime to a minimum - goals which many struggle with at scale.
While advances in cloud computing have helped address some of these challenges, many organizations find it difficult to leverage the cloud at scale because of bottlenecks that form around repetitive tasks, such as developers having to wait for provisioning infrastructure. Despite having access to abundant cloud resources, these speedbumps often make it difficult or impossible to achieve team objectives.
Join this talk to learn:
-How to safely delegate the management of your Azure deployment (to developers and other colleagues) with self-service operations.
-How to create powerful runbooks with guardrails that leverage existing scripting languages (including PowerShell), infrastructure, and tools to remove the human from the bottleneck that forms around repetitive tasks.
-Strategies for getting started
-And how to create an Easy Button to handle the repetitive tasks that are interrupting your flow of work.
As presented by Jesse Houldsworth at PowerShell + DevOps Global Summit 2021
This webinar will provide you with a better understanding of digital engineering and a "digital thread." Your host, Dr. Steven Dam, discusses how tool integration plays a role in the path to digital engineering and what SPEC Innovations is doing with Innoslate to foster that role. Often overlooked are the potential issues with creating a full digital twin. Dr. Dam discusses these issues and how systems engineers can combat them.
Watch the full webinar here: https://youtu.be/PID-1v9ZAMw
Intranet governance and information managementGabrieleSani3
A presentation on how to define the roles and responsibilities of people across multiple departments. The challeneg is how to define shared processes to manage tools, information and policies in the common intranet.
This document discusses moving from a data-centric to a knowledge-centric approach for geospatial data and services. It proposes using core geospatial ontologies and semantic technologies like OWL and SPARQL to encode conceptual models, business rules, and formal semantics. This would allow automated reasoning and flexible integration of data as knowledge is shared through a semantic layer. Example applications like semantic gazetteers are presented to illustrate how existing services could be enhanced by adding semantics. The document outlines next steps like standardizing core ontologies and developing semantic profiles and services. The overall approach aims to reduce costs and burdens on users by making geospatial data and knowledge more accessible and interpretable through shared formal representations.
To view this webinar:
http://ecast.opensystemsmedia.com/320
Suppliers of C4I, C2, Cyber, ISR and sensor and weapons platforms are challenged to meet commercial pressure from defense procurement for more capability at lower cost, and from acquisition officials for increasing interoperability across their combat systems in order to be able to enable new system capability through Information Dominance (ID).
RTI will present an architecture and its Connext solution, designed to meet these twin imperatives. Built upon proven open technology, Connext is a foundational system architecture that delivers significant productivity gains in integration, while also enabling discovery and rapid assimilation of existing system entities, potentially from 3rd party suppliers or already deployed in the field of operation.
Given the unique requirements of tactical system-of-systems, the architecture must support both real-time combat systems as well as brigade and command HQ enterprise style systems, bringing them together in a scalable, dynamic, and flexible framework. Connext addresses the performance and scale impedance mismatch between these disparate systems types, and delivers the ability to develop a common infrastructure that runs over DIL (Disconnected Intermittent Loss) communications as well as it does over Ethernet, putting minimal strain on the communications interfaces and maximizing information exchange.
The Connext foundation is in use in over 400 defense programs globally with over 350,000 licensed deployments. It has been approved by the US DoD to TRL9 (Technology Readiness Level).
The document discusses design-time governance for SOA (service-oriented architecture). It provides examples of policy rules for different types of services, including human-to-application (H2A), application-to-application (A2A), aggregated core services (ACS), and core services (CS). It also presents a case study example of how to address new requirements within the constraints of existing policy rules. The document emphasizes that governance is important for SOA to avoid losing track of components and preventing undesired side effects between services. It stresses starting small with governance and establishing rules before deploying services.
Integrated Analysis of Traditional Requirements Engineering Process with Agil...zillesubhan
In the past few years, agile software development approach has emerged as a most attractive software development approach. A typical CASE environment consists of a number of CASE tools operating on a common hardware and software platform and note that there are a number of different classes of users of a CASE environment. In fact, some users such as software developers and managers wish to make use of CASE tools to support them in developing application systems and monitoring the progress of a project. This development approach has quickly caught the attention of a large number of software development firms. However, this approach particularly pays attention to development side of software development project while neglects critical aspects of requirements engineering process. In fact, there is no standard requirement engineering process in this approach and requirements engineering activities vary from situation to situation. As a result, there emerge a large number of problems which can lead the software development projects to failure. One of major drawbacks of agile approach is that it is suitable for small size projects with limited team size. Hence, it cannot be adopted for large size projects. We claim that this approach can be used for large size projects if traditional requirements engineering approach is combined with agile manifesto. In fact, the combination of traditional requirements engineering process and agile manifesto can also help resolve a large number of problems exist in agile development methodologies. As in software development the most important thing is to know the clear customer’s requirements and also through modeling (data modeling, functional modeling, behavior modeling). Using UML we are able to build efficient system starting from scratch towards the desired goal. Through UML we start from abstract model and develop the required system through going in details with different UML diagrams. Each UML diagram serves different goal towards implementing a whole project.
An Approach of Improve Efficiencies through DevOps AdoptionIRJET Journal
This document discusses adopting DevOps practices to improve organizational efficiencies. It begins with an abstract discussing how organizations waste resources and how DevOps aims to address this through lean principles and continuous feedback. It then discusses the history and concepts of DevOps, proposing a DevOps adoption model. It outlines factors that affect IT performance and cultural transformation. The document also describes the research design of a study conducted through interviews with DevOps professionals. It identifies four main challenges to DevOps adoption: lack of awareness, lack of support, implementing technologies, and adapting processes. The analysis focuses on the lack of awareness challenge, noting confusion around DevOps definitions and resistance to "buzzwords".
Ontologies for Emergency & Disaster Management Stephane Fellah
Ogc meeting march 2014
OGC OWS-10 Cross-Community Interoperability
Ontologies for Emergency & Disaster Management
(The application of geospatial linked data)
Factors affecting the adoption of cloud computing
Lorraine Morgan, Lero, National University of Ireland Galway
-session 6-
International conference on
“DATA, DIGITAL BUSINESS MODELS, CLOUD COMPUTING AND ORGANIZATIONAL DESIGN”
24-25 November 2014,
Université Paris–Sud
This document discusses a feasibility study for developing a web application to help assess and support early speech, language, and hearing development in children. It analyzes the economic, technical, social, time and resource, operational, behavioral, and schedule feasibility of the proposed system. The study finds that developing the system is feasible within budget constraints and has technical requirements that can be met. Users would likely accept the system with proper training. It could increase efficiency and customer satisfaction while being simple to use and maintain. Some changes may be needed within the organization but the project schedule is reasonable.
Similar to System Architecture for C4I Coalition Operations (20)
Real-Time Innovations (RTI) is the largest software framework provider for smart machines and real-world systems. The company’s RTI Connext® product enables intelligent architecture by sharing information in real-time, making large applications work together as one.
Originally presented on April 11, 2017
Watch on-demand: https://event.on24.com/eventRegistration/EventLobbyServlet?target=reg20.jsp&referrer=&eventid=1383298&sessionid=1&key=96B34B2E00F5FAA33C2957FE29D84624®Tag=&sourcepage=register
The document discusses a presentation given by Dr. Stan Schneider, CEO of RTI, and Dr. Rajive Joshi, Principal Solution Architect at RTI, on how the Industrial Internet Consortium's (IIC) Connectivity Framework guides selection of connectivity technologies for industrial internet of things (IIoT) systems. The presentation covered the goals of the IIC Connectivity Framework in providing guidance to practitioners on IIoT connectivity, the layers of the IIoT connectivity stack model, core connectivity standards, and a process for assessing and selecting the appropriate connectivity standard.
The document discusses security for the Industrial Internet of Things (IIoT) and Connext DDS Secure. It provides an overview of security frameworks from the Industrial Internet Consortium, including how they address threats in publish-subscribe systems. It then describes the key features of Connext DDS Secure, which is based on the DDS Security specification and provides authentication, access control, and encryption without a broker. The document demonstrates how to configure QoS profiles and permission files to set up secure domains for a Connext DDS shapes demo.
This document summarizes a presentation on the ISO 26262 approval of automotive software components. The presentation discusses ISO 26262 objectives for software, key characteristics of reusable software components, and the integration of qualified software components. It notes that ISO 26262 qualification of software components is possible if components have certain characteristics like modularity and provide documentation like a compliance matrix to guide integrators.
This document summarizes a presentation on developing autonomous vehicle architectures. It discusses using a data-centric middleware approach like the Data Distribution Service (DDS) standard to integrate sensors, fusion software, and control systems. DDS provides a common data model, quality of service controls, security features, and other benefits to help lower development risks. It also advocates consolidating electronic control units using a hypervisor and safety-certified operating system like QNX to isolate functions with different safety requirements. The presentation argues this is a lower-risk path to autonomous vehicle architecture than point-to-point and client-server approaches.
By John Breitenbach, RTI Field Applications Engineer
Contents
Introduction to RTI
Introduction to Data Distribution Service (DDS)
DDS Secure
Connext DDS Professional
Real-World Use Cases
RTI Professional Services
The document discusses fog computing and its role in industrial IoT (IIoT) systems. Fog computing refers to flexible, distributed computing resources and services located between end devices and centralized cloud computing infrastructure. It helps enable real-time response, reliable availability, and complex data management required for IIoT applications. The Industrial Internet Consortium is working to develop common architectures to connect sensors to cloud across industries using fog computing technologies like the Data Distribution Service standard.
The document compares OPC UA and DDS, two key protocols for industrial IoT. OPC UA is object-oriented and client-server, targeting simpler systems with device interchangeability needs. DDS is data-centric and peer-to-peer, more suitable for systems with primary software integration challenges. Both communities are working to ensure their technologies can work together, preserving investments as architectures evolve.
This document discusses cyber security challenges for connected cars. It notes connected cars have multiple attack surfaces through the internet, cloud, communication with other cars, and in-car systems. The document advocates for a layered security approach, including boundary security, transport-level security, and fine-grained data-centric security. It describes using Real-Time Innovation's Connext DDS Secure product to implement fine-grained security at the individual data topic level to control access and ensure proper system operation in a secure manner.
This document discusses lessons learned from space rovers and surgical robots that can inform system architecture. It advocates for a common architecture across industries using the Data Distribution Service (DDS) standard. DDS provides a data-centric middleware that maintains distributed state and facilitates plug-and-play connectivity between devices and across networks. It ensures real-time communication with quality of service guarantees to support applications from robotics to healthcare. DDS has been adopted in over 1000 industrial IoT systems and several standards/consortia due to its ability to securely connect sensors to cloud with interoperability between vendors.
This document discusses safety considerations for next-generation autonomous vehicles and how RTI's data distribution service (DDS) middleware can help address them. DDS ensures reliable data availability in real-time across complex systems, facilitates integration of diverse components, and enables flexible deployment. Its use of a common data model simplifies safety certification processes.
This document discusses RTI's Transport Services Segment (TSS) Reference Implementation, which is built on Connext DDS Cert and conforms to the FACE Safety Base Profile. It provides an overview of the TSS context within FACE, the Transport Services API, and the modular and configurable architecture of Connext DDS Micro and Cert. Connext DDS Cert is designed for safety-critical applications and its code is certifiable to DO-178C Level A, the most stringent safety standard, with reusable certification evidence.
This document discusses how integrating time-sensitive networking (TSN) with a data-centric connectivity approach using the Data Distribution Service (DDS) can improve industrial control systems. TSN provides real-time and deterministic networking over Ethernet, while DDS enables loose coupling, plug-and-play integration, and data sharing through its publish-subscribe model. Together, TSN and DDS can address challenges with traditional connectivity approaches by leveraging commodity hardware, simplifying integration, and allowing for improved data usage. The document outlines relevant TSN standards and how DDS quality of service policies can map to TSN priorities to provide deterministic networking.
The document discusses autonomous vehicle design and RTI's expertise in autonomy. It begins by outlining the challenges of autonomous vehicle technical including rapid evolution, complex system integration, on/off vehicle communications, perception and sensing, decision making, safety certification, and software dominance in a mechanical world. It then describes RTI's experience in various industries and standards efforts. RTI is said to have deep expertise in autonomy from its founders' background and use of its middleware to power unmanned systems. The document discusses how RTI can help with autonomous vehicle development through ensuring data availability, guaranteeing real-time response, managing complex data flows and states, easing system integration, building in security, making deployments flexible, and easing safety
This document discusses cybersecurity considerations for industrial Internet of Things (IIoT) systems. It describes how IIoT systems are distributed across sensors, actuators and other devices with streaming data, analytics/control, and connectivity to IT systems and clouds. This distributed nature introduces potential vulnerabilities from threats. The document then introduces the Data Distribution Service (DDS) standard as a connectivity platform that can address challenges like security while supporting real-time and reliable data distribution. Key features of DDS like decentralization and publish/subscribe capabilities are described. Finally, the document outlines DDS security capabilities like authentication, access control, encryption and logging to secure IIoT systems from unauthorized access and tampering.
This document discusses data distribution service (DDS) security for the industrial internet of things (IIoT). It provides background on DDS and the IIoT. It then discusses how DDS security works, including pluggable security architectures, authentication, access control, and message security. The goal of DDS security is to prevent unauthorized access to data in the global data space shared by DDS applications. Built-in security capabilities include X.509 authentication, access control configuration, and encryption/message authentication algorithms.
1) GE Healthcare is using RTI Connext DDS as the connectivity platform for its Industrial Internet of Things (IIoT) architecture. Connext DDS can handle many classes of intelligent machines and satisfies GE's demanding requirements.
2) GE Healthcare is leveraging the Predix architecture to connect medical devices, cloud analytics, and mobile/wearable instruments. The future communication fabric of its monitoring technology is based on Connext DDS.
3) Physio-Control uses Connext DDS to exchange critical patient care information throughout the system of care, connecting vehicle systems, cloud systems, and infrastructure systems.
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframePrecisely
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor IvaniukFwdays
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/how-axelera-ai-uses-digital-compute-in-memory-to-deliver-fast-and-energy-efficient-computer-vision-a-presentation-from-axelera-ai/
Bram Verhoef, Head of Machine Learning at Axelera AI, presents the “How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-efficient Computer Vision” tutorial at the May 2024 Embedded Vision Summit.
As artificial intelligence inference transitions from cloud environments to edge locations, computer vision applications achieve heightened responsiveness, reliability and privacy. This migration, however, introduces the challenge of operating within the stringent confines of resource constraints typical at the edge, including small form factors, low energy budgets and diminished memory and computational capacities. Axelera AI addresses these challenges through an innovative approach of performing digital computations within memory itself. This technique facilitates the realization of high-performance, energy-efficient and cost-effective computer vision capabilities at the thin and thick edge, extending the frontier of what is achievable with current technologies.
In this presentation, Verhoef unveils his company’s pioneering chip technology and demonstrates its capacity to deliver exceptional frames-per-second performance across a range of standard computer vision networks typical of applications in security, surveillance and the industrial sector. This shows that advanced computer vision can be accessible and efficient, even at the very edge of our technological ecosystem.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Choosing The Best AWS Service For Your Website + API.pptx
System Architecture for C4I Coalition Operations
1. A System Architecture for C4I for
Coalition Operations
Gordon A. Hunt – UDT 2013 Spain
Chief Engineer, RTI • UCS WG Sub-Committee Chair • Commander USN-R
2. Agenda
• Background
– Open Architecture and Current Approaches
• A Coalition is a System of Systems
– Definitions and Examples
• Interoperability Architecture
– It is all about the Data
– How to capture and define its meaning
– Interoperability by Design
10. System of Systems
System of Systems
• A system of systems
is a collection of task-
oriented or dedicated
systems that pool
their resources and
capabilities together
to create a new, more
complex system
which offers more
functionality and
performance than
simply the sum of the
constituent systems.
System
A
System
B
System
[n]
System
A
System
B
… System
[n]
Has a set of >[n+1] capabilities
Interoperability and Open ArchitectureCurrent practice but…What is it really?Why is it hard?
VERSUSInteroperability by mediationAPB == Advanced Processing Build
So, its all good right? Not so fast.Transition out: So, what is missing, how de we get Open Architectures that really deliver on the promise?
Measure and require designed interoperability
When we talk about systems and data, we’re usually having conversations about interfaces, integration, and achieving interoperability. So now I’m going to talk a little about integration and interoperation of systems.
<automate>
Using a Quality Attribute Methodology, that supports the Business, Non-functional RequirementsThe Key Architectural Drivers of an Open System are:How do we achieve these KADs?How do we achieve these in Open Architecture?
Where do we see integration in our everyday lives? When I really need to charge my phone (I forget…quite often, really), I grab my cable and I plug it in. One end of the cable connects to the phone, and the other end to the power source. After a bit of time, the phone is charged. This simple example demonstrates an everyday integration of systems: a phone and the power system. In this case, the two interfaces are designed in such a way that they work together – no adapter or mediating component is required.
To successfully enable systems to interoperate, they require a matching of specifications or interface standards through some means. Say this power cable is for my cell phone and I’m in Spain, visiting a friend. I just arrived at my hotel, and my phone is dead. I grab my phone and my cable and go to plug it in and… oh. Right. Complete interface mismatch. These components were not designed in a way that allows for them to be integrated right away. But I really need to charge my phone! Since these systems were not designed to work together, a solution must be architected if I require them to interoperate… They can’t interoperate without some element of mediation.
Interoperability can be achieved through a mediation layer – here, an adapter – that allows for the 2 systems to be integrated without requiring a change be made to one or both of their interfaces. I don’t need a new power cable to charge my cell phone while I’m in Europe, if I by the adapter.In the integration example, I achieved interoperation without the need for the mediation component – the “magic box”. In those cases where I require an element such as this to achieve interoperability, that interoperation is achieved by architecting a solution that allows for me to integrate my systems together. Common examples include standards matching and adapters
A model is anything used in any way to represent something else. We use models to observe the effect on manipulating the original, without actually having to manipulate it. A really good model will capture all of the details we need to manipulate the original, and no more. On the left we have a picture of an actual 1967 ford mustang gt, and on the right a model of that same car. Let’s say you have a child that is going through a phase where they’re really into cars. And this child wants nothing more than what his dad has – a 1967 ford mustang gt. Now, I love my kids and I want to give them everything just so I could see what marvelous things they’d do with it. However, I am not about to hand over the key to a car to my toddler. I would give them a scaled, fit for purpose version, such as the model toy on the right. It has very little in the way of extras, but it is entirely sufficient AND safe to entertain my toddler.
A data model is a representation that describes the data about the things that exist in your domain. If you have a system – since systems operate on data – well, then you have a data model. If you’re a system integrator, you deal with data models during your integration activities. Data models come in many different representations, they express many different things in varying degrees of explicitness. Some data models capture information very unambiguously and others don’t. But no matter where your data model falls on the spectrum, you can work with it to make it better. Data models come in many flavors, and they’re not all equal. Which is best for you is going to depend on your systems requirements, and the function of the system, or component that will use that data. Here we have three examples of models many people have some familiarity with at least two of them. The dictionary is a list of terms for a particular domain of knowledge. It contains a list of terms, as well as the definitions and pronunciations for those terms. Using a representation such as this, words alongside their meaning, we can communicate about the things that exist in our domain and the meaning of those expressions, the words, is understood to those who use the same dictionary. The linnean taxonomy is an example of a hierarchical data model - it shows us the conception, naming, and classification of organism groups. It represents information in a hierarchical format, such a classification or categorization schema. Using a representation structure such as this, I can express that “this” is one of “those”.The last example is the periodic table of elements. From this we can tell that Gold has a weight and a certain number of protons… but I don’t know if 2 elements will bond, and if they will what they will form, simply by looking at this table. Per our requirements, we define a good data model to be one that captures, among other things, the semantics, or meaning, of the things that is represents in an unambiguous way. The process by which you generate a data model is something you need to consider… Especially if you need that data model that helps you meet your key non-functional requirements.
A SoS is an appealing thing. It’s an opportunity for reuse of technology and investments. It’s a possibility for an entirely new capability to be born just by adhering to the right approach. And that approach needs to produce one key result: semantic interoperability. In a system, it's really important to model your data just to meet the general requirements, but in system of systems, if you do this properly, it can result in real, tangible benefits for years to come. But going about it in the wrong way will produce long lasting pains that are costly, especially during future integrations or as things change in your system. But this is avoidable. A system of systems is made up of many constituent systems. Each one of those constituent systems brings with it its own set of requirements that the SOS must now support. Because of this, a SOS set of requirements is actually the set that contains all of the requirements of all of the constituent systems, plus the additional requirement for semantic interoperability. As a SOS grows, so does the set of things that it needs to be capable of expressing – and while information from one system may need to be used be many other systems, this isn’t trivial 1-1 mapping of the systems interface definitions. That approach does not produce a SOS that meets the extensibility requirement, among many others. Instead, all of the systems will generate the appropriate representations such that they can meet their system requirements and the system of systems will be responsible for the creation of mathematical constructs, described using a formal language for data modeling. It is from these constructs that the constituent systems will generate their required representations.
To achieve semantic interoperability between constituent systems, you need a new approach to dealing with your data. A SOS data shall do the following:Meet the requirements of the constituent systems. Support the overarching requirement for semantic interoperability.Allow for changes to be made to the model without requiring changes be made to the existing system and application interfaces that use it.In order to do this, we need to adopt a formal approach. The components of this approach that we are going to talk about here are the formal language, a rigorous documentation methodology, and a formal process for construction of your model.
Transition. (to Formal Language)When we talked about levels of interoperability before, it was pointed out that we needed to achieve semantic interoperability. If I need to be able to describe the data about the things I am trying to model in a way that captures the semantics, I need a language that is up to the task: a formal language for data modeling.A formal language can be defined as a set of words over its alphabet. Sometimes the sets of words are grouped into expressions, where rules and constraints are applied for how to form the expression and allowed transformations. An expression that was created according to these rules would be deemed to be a “well formed” expression. We’ve seen that this approach produces very real results, especially in the fields of mathematics and computer science. Highly structured programming languages, such as C, are so rigorous and formal that they’ve managed to have a lot of success in consistently being able to capture the logic of programming. This can be shown by their ability to use compilers and tools to generate binary. What we need for systems of systems data modeling is very similar. If we use a rigorous and formal language for data modeling, we can achieve those same benefits. One of the key benefits is the ability to build unambiguous expressions. Ambiguities in the meaning of an expression cause errors in systems, and we can’t have that if we expect a system of systems to truly interoperate. Using a formal language for data modeling is a natural fit to satisfy this requirement. A commonly used formal language for software systems is UML, or unified modeling language. UML is managed by the OMG and as of 2000 it was accepted by the ISO as being the industry standard for modeling software intensive systems.ConclusionBy first modeling my data in a way that generates these formal representations, I can subsequently generate any of these other representations if they’re the appropriate type for my particular system, as the result of a simple mapping or transformation. All of the information is there, and it’s meaning is explicit.
Forming expressions can be done in a handful of ways, but natural language, and ad-hoc representations in general, are prone to ambiguities. To illustrate this, consider an example. First we have a word problem, stated in in natural language and on the right, the same word problem stated in a more formal language – mathematics.. Pretend for a moment that you’re in a class and this problem is on an exam. In the first statement of the problem - on the left – you would read the following: So, where do you start? When I was given a problem such as this one to solve, I’d start by defining my variables; reading the problem carefully to ensure I didn’t miss something. Because, you know, teachers love to throw curveballs. In the end, this problem would have me walking up to the teachers desk and asking for a clarification – the ambiguities are not only present, but they result in multiple solutions if you take them account and try to solve anyhow. Can I have full credit if one of my answers matches her test key? Probably not. But it wasn’t my fault – she didn’t clearly communicate. Now, what if we stated this exact same problem using a more formal language such as logical or mathematical constructs? So, rather than state the problem as a human readable string, I state is as a mathematical formalism. Mathematical formalisms are either well-formed (explicit) or not (ambiguous). If we go about generating our expressions using a rigorously defined set of transformation rules (grammar), the results would always be something that a computer could operate on and understand;his type of representation unambiguously captures meaning. As you can see: we can’t remove the ambiguities, but they are clearly indicated – it is obvious you have multiple solutions.Having Multiple solutions is equivalent to multiple meanings, which is not ok. To achieve semantic interoperability, the meaning must be completely clear, so the formulas or expressions are required to be well-formed AND understood! After all, a statement can be syntactically valid but semantically invalid. Conclusion. formalism is a continuum; to have a sos, you need formalism because you don’t have complete control over the structure and content of all constituent systems
The purpose of Data Model Documentation is to memorialize the decisions that were made during creation of the Data Model. These decisions include the Requirements or Use Cases that describe the functionality of the DM, as well as the Non-Functional Requirements that describe the behavior of the model over the life cycle of the system. It also records the Methodology that was used to construct the DM, as well as the resulting Model. Because in a SoS, there are many potentially competing forces that are separated in time, and by controlling organization, the effectiveness of the documentation is directly related to the degree of formalism and consistency that can be applied by different organizations at different times, over the lifecycle of the SoS.
The third component of our formal approach was to specify a formal process.Because a SoS has many, independent organizational stakeholders that each have independent control over a part of the SoS, the processes that are used to create, and document the resulting SoS DM must enforce the high level of rigor that is required in both the model, and the documentation.______ ARCHIVE** On chart 33 second bullet, would say "end at the messages" to reinforce that the additional documentation is about the Data, not the functions, or architecture.Engineer a process to achieve the desired results.You need to engineer/architect your model such that the results from the modeling process help you to achieve the desired outcome (no ad-hoc solutions) so that you can satisfy your requirements. Don’t tweak the product of a flawed process; all you’ll wind up with is a flawed product. Change the process.Unfortunately, in the end, if you model using only these three things, it's insufficient because unless you formed each one of those using rigorous, repeatable, mathematical methods/procedures, then you really only have an ad-hoc model with a bunch of unconnected stuff in it. There are no associations being modeled so there is no context provided and the model is not semantically explicit. But you might have also noticed that when anything is ambiguously defined, or not defined at all, it’s a strike against it. Why? Because ambiguities cause errors in data modeling and for semantic interoperability to be achieved, we can’t have that. Things that we needed, but that aren’t covered by simply having enough kind of objects to be able to build properly are: the meaning of the line, how do we decided on the connections, how are we then supposed to interpret them, Depending on how your system will use data, and what type of information you’re using the model to represent, there are many ways to options, but not every option works well for all circumstances
In the end, we want this:The ability to take those things on the left that we need to model, including the system itself!, and document their required structures and behaviors, we well as their context within the system of systems. And we will do this using a formal approach. And then, when we have our formally described and formed SOS data model, that has captured all of the information needed to ensure that the data has proper context so it can be interpreted properly by any other system wishing to interoperate with it, we can generate, from that, any representation that the constituent systems need. And because they’re all from the same root, described in the same formal language, and derived using a set of rules, those data definitions will be interoperable. And in addition to having our representations all fall out of that model, our other system documentation will also come out of this one place, because it’s all important and relevant. You have to document the system. And the data. Not separately, together.Why the language?Need to know what is well-formed, and what is notNeed to be able to extend the data model when things change (because they will!) without requiring all system elements to recompile (no N^2 integration!)Need to be able to be very expressive, but do so in a rigorous, formal, and repeatable way can encode anything, can decode anythingIf I can do this, describe my information in such a way, then I’m not integrating to a message set or a data definition per se, I’m integrating via a mediation component that performs transforms on the information in the system of systems. So when something new comes along, I don’t have to integrate to that new application, I add another transform to a mediation component. That way, I don’t have to change my application interfaces and the complexity that naturally arises from integration activities – from the need to achieving interoperability among all of these disparately developed things – it’s contained in one place, and not bleeding throughout all the other code in my system.Why the documentation?Documentation captures your decisions, your outlook, the context of the system and the data that the system operates on to produce the desired outputs/outcomesIf you’re going to integrate your system with another system, this information becomes very important to ensure that they are properly interoperatingsemantic interoperability can not be achieved without the information that captures the context of the system being modeled as wellWhy the process?Formal processesUses of Data in Systems: In the process, you see that we have structure, behavior, and context. These are all things about the systems that we NEED to capture in the SOS data model.
A data-centric integration solution to achieve semantic interoperability is important and achievable.It is important because… One of the only things I can guarantee in a SOS is that it will change. At some point, it will. And when that change happens, rather than have your system be broken by it, why not survive it? If I architect my data in a rigorous and formal manner, and since data is what the systems operate on, then any changes in the system are easily accommodated, because they’d manifest as changes to the information present in the SOS. If the changes are made in a rigorous and repeatable way, then by knowing the rules for formation and the abstract data model that all things in the SOS come from, I can simply transform it and understand it if need be. The data will have meaning. It will have context. It will be usable and understood. Letting your system be broken by something that is inevitable seems a bit silly, especially since we can anticipate that change and accommodate it by making some intelligent architecture and design decisions upfront.Here we can see legacy, future and current systems – which is a reality – they can technically interoperate via a protocol using a common infrastructure. We know how to do that. They can syntactically interoperate by using a common data structure. But how do we accommodate the systems where can can’t change the interfaces? When they are incompatible? We need a mediation component. Achieving semantic interoperability relies on components such as this, especially since one of our requirements was that we needed to be able to accommodate change and not be broken by it (have to make changes to existing interfaces).