Linear complexity, in the context of algorithms or protocols, describes a system where resource consumption increases directly with the size of the input or workload. For distributed ledger technologies, processing more transactions or data demands a proportional increase in computational effort. This scaling behavior is generally regarded as efficient for many operations.
Context
When assessing the performance of new cryptographic protocols or consensus algorithms, linear complexity is a preferred attribute, indicating predictable resource allocation. Discussions in crypto news often compare systems with linear scaling to those with higher-order complexities, especially when addressing transaction throughput limitations. Achieving linear scalability is a goal for many projects seeking to manage a growing user base and transaction volume without excessive costs.
A novel DAG-based consensus protocol leverages Trusted Execution Environments to significantly improve scalability, reduce communication overhead, and ensure censorship resistance.
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