K8s dds meetup_presentation
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This document discusses Data Distribution Service (DDS) as an industrial Internet of Things connectivity framework. It compares message-centric and data-centric architectures, noting that DDS takes a data-centric approach. The document then provides an overview of DDS, describing its core functions like discovery, evolution, load balancing and quality of service policies. It demonstrates DDS through examples of backward compatibility, redundancy, and integration with other tools. DDS creates a shared data bus that allows systems to evolve over time while maintaining consistency.
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این ارائه مقایسه محاسبات ابری و محاسبات گرید می باشد که هم به صورت کلی و هم به صورت دقیق تر این مقایسه انجام شده است
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Presented By Ashok.J 3 rd BCA - AVVM Sri Pushpam College, Poondi , Tanjor
Slide 2: GRID COMPUTING Conceptual View Of Grid Computing ?
What Is Grid Computing?: What Is Grid Computing? Grid computing is the collection of computer resources from multiple locations to reach a common goal. GRID COMPUTING
Slide 4: How Grid Computing Works? GRID COMPUTING
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- Resources that can be shared on a grid include data storage, computing power, sensors, and visualization tools.
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The current data landscape is fragmented, not just in location but also in terms of processing paradigms: data lakes, IoT architectures, NoSQL, and graph data stores, SaaS applications, etc. are found coexisting with relational databases to fuel the needs of modern analytics, ML, and AI. The physical consolidation of enterprise data into a central repository, although possible, is both expensive and time-consuming. A logical data warehouse is a modern data architecture that allows organizations to leverage all of their data irrespective of where the data is stored, what format it is stored in, and what technologies or protocols are used to store and access the data.
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Data Virtualization. An Introduction (ASEAN)
Watch full webinar here: https://bit.ly/3uiXVoC
What is Data Virtualization and why do I care? In this webinar we intend to help you understand not only what Data Virtualization is but why it's a critical component of any organization's data fabric and how it fits. How data virtualization liberates and empowers your business users via data discovery, data wrangling to generation of reusable reporting objects and data services. Digital transformation demands that we empower all consumers of data within the organization, it also demands agility too. Data Virtualization gives you meaningful access to information that can be shared by a myriad of consumers.
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Cloud computing
Cloud computing combines concepts of grid computing, utility computing, and autonomic computing. It allows companies to offer computing resources like applications and data storage as online services on a pay-per-use basis. Key characteristics include cost savings, reliability, scalability, and device/location independence. The basic components are clients, services, applications, platform, storage, and infrastructure. Common delivery models are Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Deployment models include private, public, hybrid and community clouds.
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Interoperability and the Internet of Things – To standardize or not to standa...
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BI architecture drivers have to change to satisfy new requirements in format, volume, latency, hosting, analysis, reporting, and visualization. In this presentation delivered at the 2014 SATURN conference, SoftServe`s Serhiy and Olha showcased a number of reference architectures that address these challenges and speed up the design and implementation process, making it more predictable and economical:
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K8s dds meetup_presentation
- 1. Data Distribution Service (DDS) A Connectivity Framework for Distributed Systems Gal Schlesinger November 18
- 2. An Alternative Approach to Distributed Systems Design… • How do you discover remote services? • How do you manage messages/services evolution? • How do you manage load balance messages?
- 3. Message Centric VS Data Centric Architecture Approach
- 4. Message Centric VS Data Centric Design • Distributed systems work by sending information between independent modules. • How to get the right information from the right producers to the right consumers at the right time, is perhaps the first and most important design consideration of any distributed systems. • Distributed systems must also share and manage the state of each one of the above.
- 5. Message Centric VS Data Centric Design
- 6. The Database Analogy • Before databases, storage systems were files with application- defined structure. • The database arose as a data-centric infrastructure technology that provides one key benefit: a source of consistent truth.
- 7. Message Centric VS Data Centric Design • Choosing the right paradigm deserves careful thought. – How important is controlled state? – How challenging is integration? – What is your project lifecycle? • It is not a black and white situation, you can incorporate both approaches in your design.
- 8. Data Distribution Service (DDS) The Industrial IOT Connectivity Framework & Architecture
- 9. What most systems of systems look like What happens to the system when your needs evolve How the system is initially designed
- 10. RTI DDS Data Bus DDS Creates This… What happens to the system when your needs evolve RTI DDS Data Bus
- 11. What is DDS? DDS – Data Distribution Service • Application Programming Interface (API) Library • Middleware Protocol – Managed by Object Management Group (OMG)
- 12. Connectivity Framework Core Functions
- 13. DDS Live Demo
- 14. From an Interactive Data Language (IDL) to an Executable
- 15. Basic DDS QOS Demo DURABILITY USER DATA HISTORY TOPIC DATA READER DATA LIFECYCLE GROUP DATA WRITER DATA LIFECYCLE PARTITION LIFESPAN PRESENTATION ENTITY FACTORY DESTINATION ORDER RESOURCE LIMITS OWNERSHIP RELIABILITY OWNERSHIP STRENGTH TIME BASED FILTER LIVELINESS DEADLINE LATENCY BUDGET CONTENT FILTERS TRANSPORT PRIORITY
- 16. Backward and Forward Compatibility using DDS Extensible Types
- 17. System Redundancy Using DDS Ownership QOS
- 18. Excel & DDS Integration
- 20. RTI DDS Connext Family
- 21. 18-Nov-18© 2012 RTI • COMPANY CONFIDENTIAL38
- 22. Questions?
- 23. Gal Schlesinger | Connext DDS Field Application Engineer Galsc@matrix.co.il | Mobile: +972-50-7856567 Thank You