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== Distributed Computing in Elixir == [[File:Elixir_logo.png|thumb|200px|right|Elixir programming language logo]] Distributed Computing in Elixir refers to the utilization of Elixir programming language for developing applications that can run across multiple nodes or machines, enabling scalable and fault-tolerant distributed systems. Elixir's concurrency model and built-in abstractions make it a powerful choice for building distributed applications. === Concurrency Model === Elixir is built upon the Erlang Virtual Machine (BEAM), which provides lightweight, isolated processes known as "actors." These processes communicate with each other by sending messages, enabling a highly concurrent and fault-tolerant system. Elixir also incorporates the concept of the "actor model," where processes are isolated and share nothing, communicating only through message passing. === Distribution and Communication === Elixir provides robust mechanisms for distribution and communication between nodes. It relies on the "distributed Erlang" feature of the BEAM, allowing Elixir nodes to connect and form clusters. Once clustered, nodes can communicate and share messages seamlessly, even if they are running on different physical machines or in different data centers. === Distribution and Fault Tolerance === Elixir's distribution capabilities contribute to the creation of fault-tolerant systems. The actor model and the ability to distribute processes across nodes allow for process supervision and failure handling. If a process fails on one node, another node can take over and continue the computation, ensuring high availability and fault tolerance. === Distributed Data Storage === Elixir offers various tools to handle distributed data storage. The built-in key-value store, named "ETS" (Erlang Term Storage), can be made distributed across the cluster. This allows for efficient access and manipulation of shared state across multiple nodes. === Scalability === One of Elixir's strengths is its scalability. By running on the BEAM, Elixir applications can leverage the capability of distributing processes across multiple nodes, making it easier to scale horizontally. Elixir's actor model and lightweight processes make it efficient in managing large numbers of concurrent tasks. === Use Cases === Elixir's distributed computing capabilities make it suitable for a wide range of applications, including: * **Decentralized systems**: Elixir's distributed nature is well-suited for building decentralized, peer-to-peer systems. * **Real-time applications**: Elixir's concurrency model and fault-tolerant design make it a strong choice for building real-time applications such as chat systems, multiplayer games, or financial trading platforms. * **Internet of Things (IoT)**: Elixir's scalability and fault-tolerance make it a compelling option for handling the massive data flows and distributed nature of IoT systems. === Conclusion === Elixir's support for distributed computing makes it a powerful language for building scalable, fault-tolerant, and highly concurrent applications. Its concurrency model, distribution mechanisms, fault-tolerance features, and distributed data storage options provide developers with the tools necessary to design and implement robust distributed systems. == See Also == * [[Actor_Model_in_Elixir|Actor Model in Elixir]] * [[Fault_Tolerance_in_Elixir|Fault Tolerance in Elixir]] * [[Concurrency_Models_in_Elixir|Concurrency Models in Elixir]] == References == {{reflist}}
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