Computação Distribuída is a computing paradigm that leverages a network of multiple computers to solve complex problems more efficiently than a single computer could. In this system, the workload is distributed across several nodes, which can be located in different geographical locations. Each node performs part of the computation, and together they collaborate to achieve a common goal.
This approach enhances performance and reliability. For instance, if one node fails, others can continue processing, thus providing fault tolerance. Distributed Computing is widely used in applications such as computação em nuvem, Big Data processing, and complex simulations. It enables better resource utilization, as idle resources on different computers can be harnessed for computation.
Componentes principais da Computação Distribuída incluem:
- Nós: Computadores ou servidores individuais que realizam cálculos.
- Rede: The communication infrastructure que conecta os nós, permitindo que eles troquem dados.
- Middleware: Software that facilitates communication and gerenciamento de dados entre os nós.
Exemplos de Computação Distribuída frameworks include Apache Hadoop, which is used for processing large data sets across clusters of computers, and Apache Spark, which provides fast and general-purpose cluster-computing system. These frameworks allow developers to write applications that can leverage the power of multiple machines seamlessly.