Distributed Computing Systems Explained: Key Concepts, Types, Benefits, and Operations
With growing investments across industries, the IT sector is undergoing significant expansion, driving technology advancements at a rapid pace. This growth encourages IT strategists and analysts to prioritize transparent and cost-effective resources that can enhance performance. Distributed computing is one such critical technology, providing robust fault tolerance, improving resource accessibility, and boosting system efficiency.
What is a Distributed Computing System?
Distributed computing refers to the process of multiple computers working collaboratively to tackle a single, complex task. The main problem is split into smaller, manageable tasks, which are then processed by individual computers across a network. These computers can communicate and coordinate with each other, acting as a cohesive unit.
Traditionally, organizations relied on database administrators (DBAs) or specialized vendors to link computing resources across networks within and between data centers. Today, leading cloud providers make it easy to add additional servers to clusters, enhancing storage and processing power with ease.
This ability to rapidly add or remove computing resources based on demand is known as “elasticity.” It provides flexibility in handling workload changes, allowing clusters to seamlessly expand or contract according to immediate requirements.
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