A concurrent execution model allows multiple operations or transactions to run seemingly at the same time within a system. In blockchain and distributed systems, this model aims to boost processing speed and efficiency by handling independent tasks in parallel rather than sequentially. It permits different parts of a smart contract or various transactions to progress without waiting for others to fully complete, provided there are no conflicting resource dependencies. This approach is fundamental for improving the throughput of decentralized applications.
Context
The scalability challenges faced by many blockchain networks have led to a strong focus on developing and refining concurrent execution models. Debates frequently concern the trade-offs between concurrency, security, and the complexity of managing shared state across parallel operations. Future advancements in virtual machine architectures and sharding solutions aim to unlock greater levels of concurrent processing for widespread adoption.
A new Multi-BFT framework removes the global ordering bottleneck via concurrent execution, dramatically reducing latency for scalable decentralized systems.
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