Centralized Algorithms
Centralized algorithms are computational methods where a single, central entity (like a server or coordinator) controls and coordinates all decision-making and data processing in a system. They are commonly used in distributed systems, networking, and optimization problems to ensure consistency, simplify management, and provide a global view of the system state. Examples include centralized scheduling in operating systems, master-slave architectures in databases, and centralized control in network routing protocols.
Developers should learn centralized algorithms when building systems that require strong consistency, centralized control, or simplified coordination, such as in client-server applications, cloud computing management, or real-time monitoring tools. They are particularly useful in scenarios where a single point of authority can optimize resource allocation, enforce policies, or handle complex decision-making without the overhead of distributed consensus, though they may introduce a single point of failure.