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Aptos Unique Design Analysis: Optimistic Parallelism and Memory Pool Optimization Leading a New Trend in Public Chains
In-depth Analysis of the Technical Differences Among Ethereum, Solana, and Aptos in the Transaction Lifecycle
Comparing the technical characteristics of different public chains may seem complex due to varying perspectives. To accurately understand the differences between Aptos and other public chains, we can choose the lifecycle of a transaction as a starting point. By analyzing the complete process of a transaction from creation to final state update, including creation and initiation, broadcasting, ordering, execution, and state update, we can clearly grasp the design philosophy and technical trade-offs of each public chain.
All blockchain transactions revolve around these five steps. This article will focus on Aptos, analyze its unique design, and compare it with Ethereum and Solana.
Aptos: Optimistic Parallelism and High-Performance Design
Aptos is a high-performance public chain that has a transaction lifecycle similar to Ethereum, but achieves significant performance improvements through unique optimistic parallel execution and memory pool optimization.
Create and Initiate
The Aptos network consists of light nodes, full nodes, and validators. Users initiate transactions through light nodes (such as wallets or applications), which forward the transactions to nearby full nodes, and the full nodes then synchronize with the validators.
broadcast
Aptos retains the memory pool, but the memory pools do not share after QuorumStore. Unlike Ethereum, its memory pool is not just a transaction buffer. After transactions enter the memory pool, the system performs pre-sorting based on rules (such as FIFO or Gas fees) to ensure that there are no conflicts during subsequent parallel execution. This design avoids the high hardware requirements that come with needing to declare read and write sets in advance.
sorting
Aptos adopts the AptosBFT consensus, where proposers generally cannot freely order transactions. The memory pool pre-sorting has been completed in advance to avoid conflicts, and block generation relies more on collaboration among validators rather than being led by proposers.
execute
Aptos uses Block-STM technology to achieve optimistic parallel execution. Transactions are assumed to be conflict-free and processed simultaneously; if a conflict is detected after execution, the affected transactions will be re-executed. This method leverages multi-core processors to enhance efficiency, with TPS reaching up to 160,000.
Status Update
Validator synchronization status, finality confirmed by checkpoints, similar to Ethereum's Epoch mechanism, but more efficient.
Aptos's core advantage lies in the combination of optimistic parallelism and pre-sorting of the memory pool, which reduces node performance requirements while significantly increasing throughput.
Ethereum: Benchmark for Serial Execution
Ethereum, as the pioneer of smart contracts, is the origin of public chain technology, and its transaction lifecycle provides a foundational framework for understanding Aptos.
Ethereum transaction lifecycle
The serial execution and memory pool design of Ethereum limit its performance, with a block time of 12 seconds per slot and low TPS. In contrast, Aptos has achieved a qualitative leap through parallel execution and memory pool optimization.
Solana: Ultimate Optimization of Deterministic Parallelism
Solana is known for its high performance, and its transaction lifecycle is significantly different from Aptos, especially in terms of memory pool and execution methods.
Solana transaction lifecycle
The reason Solana does not use a memory pool is that it could become a performance bottleneck. Without a memory pool, and due to Solana's unique PoH consensus, nodes can quickly reach consensus on the order of transactions, eliminating the need for transactions to queue in a memory pool, allowing them to be executed almost instantly. However, this also means that during network overload, transactions may be discarded rather than waiting, and users will need to resubmit.
In contrast, Aptos's optimistic parallelism does not require declaring read-write sets, the node threshold is lower, yet the TPS is higher.
Two Paths of Parallel Execution: Aptos vs Solana
The execution of a transaction represents the update of the blockchain state; it is the process of converting the transaction initiation instructions into a state with finality. Parallel execution refers to the process of multi-core processors calculating the network state simultaneously. Currently, parallel execution in the market is mainly divided into two methods: deterministic parallel execution and optimistic parallel execution.
Deterministic Parallelism (Solana): The read and write set must be declared before broadcasting the transaction. The Sealevel engine processes non-conflicting transactions in parallel based on the declaration, while conflicting transactions are executed serially. The advantage is efficiency, while the disadvantage is high hardware requirements.
Optimistic Concurrency (Aptos): Assuming transactions have no conflicts, Block-STM verifies after parallel execution, and if there are conflicts, it retries. Pre-sorting the memory pool reduces conflict risk and lightens the load on nodes.
For example: Account A has a balance of 100, transaction 1 transfers 70 to B, transaction 2 transfers 50 to C. Solana preemptively confirms conflicts through declarations and processes in order; Aptos, after parallel execution, adjusts if it finds insufficient balance. The flexibility of Aptos makes it more scalable.
Optimistic parallelism for early conflict confirmation through memory pool
The core idea of optimistic concurrency is to assume that transactions processed in parallel will not conflict, therefore the application side does not need to submit a transaction declaration before the transaction execution. If a conflict is found during verification after the transaction execution, Block-STM will re-execute the affected transactions to ensure consistency.
On Aptos, after transactions enter the public memory pool, they are pre-sorted according to certain rules (such as FIFO and Gas fees) to ensure that transactions within a block do not conflict when executed in parallel. This pre-sorting of transactions is key to Aptos's implementation of optimistic parallelism. Unlike Solana, which requires transaction declarations, Aptos does not need this mechanism, thus significantly lowering the performance requirements for nodes. In terms of network overhead to ensure transaction non-conflict, the impact of the memory pool on TPS in Aptos is much less than the cost of introducing transaction declarations in Solana. As a result, Aptos's TPS can reach 160,000, more than double that of Solana.
The narrative based on security is the development direction of Aptos.
RWA (Real World Assets)
The advantages of Aptos in the RWA field:
Aptos's progress in the RWA field:
stablecoin payment
Aptos's advantages in the stablecoin payment sector:
Future Development Directions:
Summary: The Technical Differences and Future Narrative of Aptos
Aptos integrates security and efficiency considerations into key aspects of the transaction lifecycle, achieving a balance between performance and safety in its design. The pre-sorting of the memory pool combined with Block-STM's optimistic concurrency reduces the threshold for nodes while achieving high throughput. This "seeking speed while maintaining stability" approach, complemented by the resource model of the Move language, grants Aptos higher security.
Aptos demonstrates great potential in the fields of RWA and PayFi. In terms of RWA, its high throughput supports large-scale asset on-chain; in PayFi and stablecoin payments, low cost, high efficiency, and compliance support micropayments and cross-border settlements.
In the future, Aptos is expected to connect traditional finance with the blockchain ecosystem through the narrative of "security-driven value network," continuously making strides in the fields of RWA and PayFi, and building a new public chain pattern that combines trust and scalability.