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== Distributed Computing (Elixir) == [[File:Elixir logo.svg|thumb|Elixir logo]] '''Distributed Computing''' refers to a scenario where multiple computers work together to solve a complex problem. In the context of the '''Elixir''' programming language, distributed computing plays a crucial role in building highly scalable and fault-tolerant systems. === Introduction to Distributed Computing in Elixir === Elixir provides a powerful and efficient way to tackle distributed computing tasks. With its built-in support for concurrent programming and lightweight processes called '''actors''', Elixir makes it easier to distribute workloads across multiple machines. === Erlang Distributed Protocol === Elixir runs on the '''Erlang Virtual Machine (BEAM)''', which comes with a robust distribution protocol known as the '''Erlang Distributed Protocol (EP)'''. EP enables multiple Elixir nodes to form a distributed network, allowing seamless communication and coordination between them. === Distributed Process Communication === In Elixir, distributed processes can communicate with each other using message passing. By sending messages between processes, Elixir applications can achieve loose coupling and fault tolerance. The built-in '''Actor model''' in Elixir simplifies message passing and makes it easy to build distributed systems. === Supervision Trees and Fault Tolerance === One of the key strengths of Elixir's approach to distributed computing is its fault-tolerant supervision trees. By organizing processes into supervision trees, Elixir can automatically handle process failures and restart them as needed. This ensures that distributed systems remain robust and resilient to failures. === Load Balancing === Elixir provides various strategies for load balancing workloads across distributed nodes. Techniques such as '''task tracking''', '''dynamic process linking''', and '''distribution patterns''' can be used to distribute work effectively and optimize resource utilization. === Distributed Data Storage === Elixir provides support for distributed data storage through libraries such as '''Mnesia''', '''Riak Core''', and '''Horde'''. These libraries enable developers to store and retrieve data across multiple nodes in a distributed and fault-tolerant manner. === Case Studies === [[File:Elixir Project Logo.png|thumb|Elixir projects]] * [[Phoenix (web framework)|Phoenix Framework]] - A popular web framework built with Elixir that uses distributed computing to handle high-traffic websites. * [[Nerves (framework)|Nerves Framework]] - A framework for building embedded systems using Elixir, leveraging distributed computing to manage and control IoT devices. * [[Scenic (user interface library)|Scenic Library]] - A user interface library for Elixir that utilizes distributed computing to create responsive and scalable user interfaces. === Conclusion === Distributed computing in Elixir provides developers with the tools and techniques to build scalable, fault-tolerant, and highly available systems. With its concurrency model, message-passing capabilities, and distributed data storage options, Elixir empowers developers to harness the full potential of distributed computing. == See Also == * [[Concurrency (Elixir)|Concurrency in Elixir]] * [[Fault Tolerance (Elixir)|Fault Tolerance in Elixir]] * [[Erlang (programming language)|Erlang Programming Language]] {{Elixir}} [[Category:Elixir (programming language)]] [[Category:Distributed computing]] [[Category:Concurrency]] [[Category:Fault tolerance]]
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