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Diving into the intricate landscape of computer architectures, both clustered and multicomputer designs emerge as pivotal configurations within centralized systems. A clustered architecture consists of multiple computers or servers, known as nodes, working together to perform tasks as if they were a single entity. This setup prioritizes fault tolerance; if one node fails, others can take over its tasks.

On the other hand, multicomputer architecture involves multiple autonomous computers interacting with each other over a network to execute parallel computations. Each computer operates independently with its local memory, sharing no global memory with its counterparts.

While both systems involve multiple computers working collectively, the primary distinction lies in their intent and design. Clustered systems aim for high availability and reliability, ensuring continuous operation, while multicomputer systems focus on harnessing computational power from several computers to process tasks concurrently. Deciphering the nuances of each can offer a clearer perspective on their applicability in different scenarios.

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Clustered architecture is a group of computers of the same type that share processing load and act as a single large computer system while multicomputer architecture is a group of dissimilar computers that share processing load through specialization of function.

Reference: Object-Oriented Analysis and Design with the Unified Process by Satzinger

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Q: What is the difference between a clustered architecture and multicomputer architecture in a centralized system?
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