Computational Workload Sharing

Definition ∞ Computational workload sharing involves distributing processing tasks among multiple network participants or devices. This approach enables collective effort to complete complex computations more effectively than a single entity could. It optimizes resource utilization and can accelerate problem-solving in distributed systems.
Context ∞ Within blockchain and decentralized networks, computational workload sharing is fundamental to mining pools and specific distributed computing projects. This practice can concentrate processing power, potentially raising concerns about network centralization if a few large entities dominate. Progress in efficient sharing protocols is essential for improving scalability and decentralization in various digital asset applications.