👉 Strike computing is a distributed computing model where tasks are executed across multiple nodes in a network, often leveraging cloud infrastructure, but it specifically emphasizes the coordination and synchronization of these nodes to achieve computational goals. In this model, a central "strike" node or cluster manages the allocation and execution of tasks among worker nodes, which perform the actual computations. The strike node ensures that resources are efficiently utilized and tasks are completed in a coordinated manner, often using distributed algorithms to handle failures and maintain consistency. This approach is particularly useful for handling large-scale, complex computations that require high computational power and can benefit from parallel processing. By centralizing control while distributing the workload, strike computing optimizes resource usage and enhances scalability.
