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     2 months ago  

    Here's a concise overview:

    1. Definition: It's a system where multiple computers work together as part of a single, networked system to accomplish tasks.

    2. Key aspects:

      • Multiple autonomous computers
      • Connected through a network
      • Share resources and workload
      • Appear as a single coherent system to end-users
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       2 months ago  

      1. Main benefits:

        • Improved performance and processing speed
        • Enhanced reliability and fault tolerance
        • Scalability
        • Cost-effectiveness (can use commodity hardware)

      2. Common applications:

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         2 months ago  
        1. Challenges:
          • Complexity in design and management
          • network latency
          • Ensuring data consistency
          • security concerns
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           2 months ago  

          Why would a company or project opt to use distributed computing?

          Companies and projects opt for distributed computing for several compelling reasons:

          1. Scalability:

            • Easily add more machines to handle increased workload
            • Accommodate growth without complete system overhaul

          2. Performance:

            • Process large datasets or complex calculations faster
            • Divide tasks among multiple machines for parallel processing

          3. Cost-effectiveness:

            • Use commodity hardware instead of expensive supercomputers
            • Scale resources as needed, potentially reducing idle capacity
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             2 months ago  

            1. Reliability and fault tolerance:

              • If one machine fails, others can take over its tasks
              • Implement redundancy to ensure continuous operation

            2. Geographic distribution:

              • Serve users from locations closer to them, reducing latency
              • Comply with data residency requirements in different regions

            3. Resource sharing:

              • Efficiently utilize available computing resources across an organization
              • Enable collaboration on large-scale projects
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               2 months ago  

              1. 24/7 availability:

                • Maintain operations across different time zones
                • Perform maintenance without complete system shutdown

              2. Big data processing:

                • Handle and analyze massive datasets that don't fit on a single machine
                • Perform complex analytics across distributed data stores

              3. Real-time processing:

                • Handle high-velocity data streams (e.g., IoT sensor data, financial transactions)
                • Provide quick responses to user requests or system events

              4. Specialized task distribution:

                • Allocate specific tasks to machines optimized for those operations
                • balance workload based on machine capabilities
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                 2 months ago  

                What does distributed computing do for the open source community and decentralization?

                Distributed computing plays a significant role in the open source community and decentralization efforts. Here's how:

                1. Open Source Development:
                  • Enables global collaboration on large-scale projects
                  • Allows developers to contribute from anywhere, fostering diversity
                  • Facilitates the creation of distributed version control systems like Git

                2

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                   2 months ago  

                  1. Decentralized applications (DApps):

                  2. Distributed Storage:

                    • Enables projects like IPFS (InterPlanetary File System) for decentralized file storage
                    • Supports creation of decentralized cloud storage solutions
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                     2 months ago  

                    1. Open Science and Research:

                      • Allows researchers to share computing resources for large-scale simulations
                      • Enables citizen science projects like SETI@home or Folding@home

                    2. Resilience Against Censorship:

                      • Makes it harder to shut down or censor information systems
                      • Supports freedom of information and resistance to authoritarian control

                    3. Democratization of Computing Resources:

                      • Allows individuals and small organizations to access powerful computing capabilities
                      • Enables volunteer computing projects where people donate idle computer time
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                       2 months ago  

                      1. Innovation in consensus Mechanisms:

                        • Drives development of new ways to achieve agreement in decentralized systems
                        • Supports experiments in decentralized governance and decision-making

                      2. Enhanced Privacy and Security:

                        • Enables development of privacy-preserving technologies
                        • Reduces single points of failure and attack vectors
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                         2 months ago  

                        1. Open Standards and Interoperability:

                          • Encourages the development of open protocols for distributed systems
                          • Promotes interoperability between different platforms and services

                        2. Community-Driven infrastructure:

                          • Supports creation of community-owned and operated networks
                          • Enables projects like mesh networks for local Internet connectivity

                        These aspects of distributed computing contribute to a more open, resilient, and democratized technological landscape. They empower individuals and communities to build and maintain their own systems, reducing dependence on centralized authorities or large corporations.

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