From 0fee037571bfef2bd903c28f31db9b68e19fb072 Mon Sep 17 00:00:00 2001 From: TAKAMI Torao Date: Wed, 24 Aug 2022 15:28:50 +0900 Subject: [PATCH] add topics for mepool, async check, ABCI, KVS, WAL for ostracon documents --- docs/en/01-overview.md | 13 +++--- docs/en/02-consensus.md | 10 ++++- docs/en/03-tx-sharing.md | 33 +++++++++++++++ ...egation.md => 04-signature-aggregation.md} | 0 docs/ja/01-overview.md | 21 ++++++---- docs/ja/02-consensus.md | 11 ++++- docs/ja/03-tx-sharing.md | 38 ++++++++++++++++++ ...egation.md => 04-signature-aggregation.md} | 0 docs/static/figures.drawio | 2 +- docs/static/tx-sharing/mempool.png | Bin 0 -> 69388 bytes 10 files changed, 112 insertions(+), 16 deletions(-) create mode 100644 docs/en/03-tx-sharing.md rename docs/en/{03-signature-aggregation.md => 04-signature-aggregation.md} (100%) create mode 100644 docs/ja/03-tx-sharing.md rename docs/ja/{03-signature-aggregation.md => 04-signature-aggregation.md} (100%) create mode 100644 docs/static/tx-sharing/mempool.png diff --git a/docs/en/01-overview.md b/docs/en/01-overview.md index 22e250cfd..268dc07f4 100644 --- a/docs/en/01-overview.md +++ b/docs/en/01-overview.md @@ -28,7 +28,9 @@ Ostracon includes the Consensus and Networking layers of the three layers that c ![Layered Structure](../static/layered_structure.png) -Transactions that have not yet been incorporated into a block are shared among nodes by an anti-entropy mechanism (gossipping) in the Network layer called mempool. Here, the Network and Consensus layers consider transactions as simple binaries and don't care about the contents of the data. +Transactions that have not yet been incorporated into a block are shared among nodes by an anti-entropy mechanism (gossipping) in the Network layer called [mempool](03-tx-sharing.md). Here, the Network and Consensus layers consider transactions as simple binaries and don't care about the contents of the data. + +Ostracon's consensus state and generated blocks are stored in the State DB and Block DB, respectively. Ostracon uses an embedded Key-Value store based on LSMT (Log-Structured Merge Tree) because these storages are emphasize fast random access performance keyed by block height, in particular the Block DB is used frequently for append operations. The actual KVS implementation to be used can be determined at build time from several choices. ## Specifications and Technology Stack @@ -39,7 +41,7 @@ Transactions that have not yet been incorporated into a block are shared among n | Agreement | Strong Consistency w/Finality | Tendermint-BFT | | Signature | Elliptic Curve Cryptography | Ed25519, *BLS12-381**1 | | Hash | SHA2 | SHA-256, SHA-512 | -| HSM | *N/A* | *No support for VRF or signature aggregation* | +| Key Management | Local KeyStore, Remote KMS | *HSM is not support due to VRF or BLS* | | Key Auth Protocol | Station-to-Station | | | Tx Sharing Protocol | Gossiping | mempool | | Application Protocol | ABCI | | @@ -53,16 +55,17 @@ Transactions that have not yet been incorporated into a block are shared among n ## Ostracon Features * [Extending Tendermint-BFT with VRF-based Election](02-consensus.md) +* [Transaction Sharing](03-tx-sharing.md) * [BLS Signature Aggregation](03-signature-aggregation.md) ## Consideration with Other Consensus Schemes What consensus schemes are used by other blockchain implementations? We went through a lot of comparison and consideration to determine the direction of Ostracon. -The **PoW** used by Bitcoin and Ethereum is the most well-known consensus mechanism for blockchain. It has a proven track record of working as a public chain but has a structural problem of not being able to guarantee consistency until a sufficient amount of time has passed. This would cause significant problems with lost updates in the short term, and the inability to scale performance in the long term. So we eliminated PoW in the early stages of our consideration. +The *PoW* used by Bitcoin and Ethereum is the most well-known consensus mechanism for blockchain. It has a proven track record of working as a public chain but has a structural problem of not being able to guarantee consistency until a sufficient amount of time has passed. This would cause significant problems with lost updates in the short term, and the inability to scale performance in the long term. So we eliminated PoW in the early stages of our consideration. -The consensus algorithm of Tendermint, **Tendermint-BFT**, is a well-considered design for blockchains. The ability to guarantee finality in a short period of time was also a good fit for our direction. On the other hand, the weighted round-robin algorithm used as the election algorithm works deterministically, so participants can know the future Proposer, which makes it easy to find the target and prepare an attack. For this reason, Ostracon uses VRF to make the election unpredictable in order to reduce the likelihood of an attack. +The consensus algorithm of Tendermint, *Tendermint-BFT*, is a well-considered design for blockchains. The ability to guarantee finality in a short period of time was also a good fit for our direction. On the other hand, the weighted round-robin algorithm used as the election algorithm works deterministically, so participants can know the future Proposer, which makes it easy to find the target and prepare an attack. For this reason, Ostracon uses VRF to make the election unpredictable in order to reduce the likelihood of an attack. -**Algorand** also uses VRF, but in a very different way than we do: at the start of an election, each node generates a VRF random number individually and identifies whether it's a winner of the next Validator or not (it's similar to all nodes tossing a coin at the same time). This is a better way to guarantee cryptographic security while saving a large amount of computation time and power consumption compared to the PoW method of identifying the winner by hash calculation. On the other hand, it's difficult to apply this scheme to our blockchain for several reasons: the number of Validators to be selected is non-deterministic and includes random behavior following a binomial distribution, the protocol complexity increases due to mutual recognition among the winning nodes, and it's impossible to find nodes that have been elected but have sabotaged their roles. +*Algorand* also uses VRF, but in a very different way than we do: at the start of an election, each node generates a VRF random number individually and identifies whether it's a winner of the next Validator or not (it's similar to all nodes tossing a coin at the same time). This is a better way to guarantee cryptographic security while saving a large amount of computation time and power consumption compared to the PoW method of identifying the winner by hash calculation. On the other hand, it's difficult to apply this scheme to our blockchain for several reasons: the number of Validators to be selected is non-deterministic and includes random behavior following a binomial distribution, the protocol complexity increases due to mutual recognition among the winning nodes, and it's impossible to find nodes that have been elected but have sabotaged their roles. We have considered a number of other consensus mechanisms, but we believe that the current choice is the closest realistic choice for role election and agreement algorithms for P2P distributed systems. However, since Ostracon doesn't have a goal of experimental proofs or demonstrations for any particular research theory, we are ready to adopt better algorithms if they are proposed in the future. diff --git a/docs/en/02-consensus.md b/docs/en/02-consensus.md index 2836c483b..c7b497f54 100644 --- a/docs/en/02-consensus.md +++ b/docs/en/02-consensus.md @@ -85,6 +85,14 @@ In the Ostracon network, Validators mean candidate nodes that hold Stakes and ca Voter selections use a pseudo-random function $r$ to generate a sequence of random numbers in order to randomly select multiple nodes from a single VRF hash $t$. It's more important that $r$ is fast, simple to implement, has no variant by different interpretations, and saves memory since $t$ already has the properties of a cryptographic pseudo-random number. Ostracon uses a fast shift-register type pseudo-random number generation algorithm, called SplitMix64, for Voter selection. -## Disciplinary Scheme for Failures +## Failures + +### Disciplinary Scheme Although Ostracon's consensus scheme works correctly even if a few nodes fail, it's ideal that failed nodes aren't selected for the consensus group in order to avoid wasting network and CPU resources. In particular, for cases that aren't caused by general asynchronous messaging problems, such as intentional malpractice, evidence of the behavior (whether malicious or not) will be shared and action will be taken to eliminate the candidate from the selection process by forfeiting the Stake. + +### Write Ahead Log + +In a system with such a disciplinary rule, it's important to have a mechanism to prevent nodes from causing unintended behavior; Ostracon saves all received messages in its WAL (Write Ahead Log), and when it recovers from a node failure, it can correctly apply processing after the last message it applied. + +For more information on WAL, see [Tendermint | WAL](https://github.com/tendermint/tendermint/blob/v0.34.x/spec/consensus/wal.md). diff --git a/docs/en/03-tx-sharing.md b/docs/en/03-tx-sharing.md new file mode 100644 index 000000000..5cd1f1fdd --- /dev/null +++ b/docs/en/03-tx-sharing.md @@ -0,0 +1,33 @@ +# Transaction Sharing + +A client can send a transaction to any of the Ostracon nodes that joining the blockchain network. The transaction propagates to other Ostracon nodes and is ultimately shared by all Ostracon nodes. + +## Mempool + +Once a block is accepted by the Ostracon consensus mechanism, the transactions contained in that block are considered *confirmed*. The Ostracon node that receives an unconfirmed transaction validates it such as signature verification and stores it in an area called **mempool**, which is separate from the blocks. + +Unconfirmed transactions stored in the mempool by one Ostracon node are broadcast to other Ostracon nodes. +However, if the transaction has already been received or is invalid, it's neither saved nor broadcast, but discarded. +Such a method is called *gossipping* (or flooding) and a transaction will reach all nodes at a rate of $O(\log N)$ hops, +where $N$ is the number of nodes in the Ostracon network. + +The Ostracon node selected as a Proposer by [leader election](02-consensus.md) generates new proposal blocks from transactions stored in the mempool. +The following figure shows the flow of an Ostracon node from receiving an unconfirmed transaction and storing it in the mempool until it's used to generate a block. + +![Mempool in Ostracon structure](../static/tx-sharing/mempool.png) + +## Performance and Asynchronization + +Blockchain performance tends to focus on the speed of block generation, but in a practical blockchain system, the efficiency of sharing transactions among nodes is also an important factor that significantly affects overall performance. +In particular, Ostarcon's mempool must process a large number of transactions in a short period in exchange for Gossipping's network propagation speed. + +Ostracon has added several queues to the Tendermint implementation for the mempool to make them asynchronous. +This improvement allows large numbers of transactions to be stored in the mempool in a short period of time, improving the throughput of the blockchain network in more modern CPU core-equipped node environments. + +## Tx Validation via ABCI + +ABCI (Application Blockchain Interface) is a specification for applications to communicate with Ostracon and other tools remotely (via gRPC, ABCI-Socket) or in-process (via in-process). +For more information, see [Tendermint repository](https://github.com/tendermint/tendermint/tree/main/abci). + +Ostracon's unconfirmed transaction validation process also queries the application layer via ABCI. +This behavior allows the application to avoid including (correct from a data point of view but) essentially unnecessary transactions in the block. diff --git a/docs/en/03-signature-aggregation.md b/docs/en/04-signature-aggregation.md similarity index 100% rename from docs/en/03-signature-aggregation.md rename to docs/en/04-signature-aggregation.md diff --git a/docs/ja/01-overview.md b/docs/ja/01-overview.md index 71d39d62e..4b414d842 100644 --- a/docs/ja/01-overview.md +++ b/docs/ja/01-overview.md @@ -38,9 +38,13 @@ Networking レイヤーが含まれています。 ![Layered Structure](../static/layered_structure.png) -まだブロックに取り込まれていないトランザクションは mempool と呼ばれる Network レイヤーのアンチエントロピー機構 (ゴシッピング) によって -各ノード間で共有されます。ここで、Network および Consensus レイヤーではトランザクションを単純なバイナリとして扱い、そのデータの内容には -関与しません。 +まだブロックに取り込まれていないトランザクションは [mempool](03-tx-sharing.md) と呼ばれる Network レイヤーのアンチエントロピー機構 +(ゴシッピング) によって各ノード間で共有されます。ここで、Network および Consensus レイヤーではトランザクションを単純なバイナリとして扱い、 +そのデータの内容には関与しません。 + +Ostracon のコンセンサスの状態は State DB に、生成されたブロックは Block DB にそれぞれ保存されます。これらのストレージはブロック高をキーと +する高速なランダムアクセス性能が重視され、特に Block DB は追記が多用されることから Ostracon では LSMT (Log-Structured Merge Tree) に +基づく Embedded Key-Value ストアを使用しています (実際に使用する KVS 実装はいくつかの選択肢からビルド時に決定できます)。 ## Specifications and Technology Stack @@ -51,7 +55,7 @@ Networking レイヤーが含まれています。 | Agreement | Strong Consistency w/Finality | Tendermint-BFT | | Signature | Elliptic Curve Cryptography | Ed25519, *BLS12-381**1 | | Hash | SHA2 | SHA-256, SHA-512 | -| HSM | *N/A* | *No support for VRF or signature aggregation* | +| Key Management | Local KeyStore, Remote KMS | *HSM is not support due to VRF or BLS* | | Key Auth Protocol | Station-to-Station | | | Tx Sharing Protocol | Gossiping | mempool | | Application Protocol | ABCI | | @@ -65,22 +69,23 @@ Networking レイヤーが含まれています。 ## Ostracon Features * [Extending Tendermint-BFT with VRF-based Election](02-consensus.md) -* [BLS Signature Aggregation](03-signature-aggregation.md) +* [Transaction Sharing](03-tx-sharing.md) +* [BLS Signature Aggregation](04-signature-aggregation.md) ## Consideration with Other Consensus Schemes 他のブロックチェーンではどのようなコンセンサス機構を採用しているのでしょうか? Ostracon の方向性を決定するために多くの比較と検討を行いました。 -**Bitcoin** や **Ethereum** で採用している PoW は最も有名なブロックチェーン向けコンセンサス機構です。これらはパブリックチェーンとして +*Bitcoin* や *Ethereum* で採用している PoW は最も有名なブロックチェーン向けコンセンサス機構です。これらはパブリックチェーンとして 運用している実績がありますが、十分な時間が経過しないと結果が覆る可能性があるという機能的な制約を持ちます。これは、短期には lost update 問題を 引き起こし、長期には必要なパフォーマンスが確保できないという問題が顕著に現れることから、PoW は検討初期の段階で選択肢から外れました。 -**Tendermint** が合意アルゴリズムに採用している Tendermint-BFT はブロックチェーン向けによく考慮された設計です。短時間でファイナリティを +*Tendermint* が合意アルゴリズムに採用している Tendermint-BFT はブロックチェーン向けによく考慮された設計です。短時間でファイナリティを 保証できる点も我々の方針に適していました。一方で、選出アルゴリズムに採用している加重ラウンドロビンは決定論的に動作するため、誰でも将来の Proposer を知り得ることから標的を見つけて攻撃を準備しやすい点があります。このため Ostracon では攻撃の可能性を軽減する目的で VRF を使って 予測不可能なアルゴリズムに置き換えています。 -**Algorand** は我々とは大きく異なる方法で VRF を使用しています。Algorand では選挙が始まるとそれぞれのノードが VRF 乱数を生成して次の +*Algorand* は我々とは大きく異なる方法で VRF を使用しています。Algorand では選挙が始まるとそれぞれのノードが VRF 乱数を生成して次の Validator に当選しているかをノード自身が判断します (すべてのノードが一斉にコイントスするのと似ています)。これは PoW のハッシュ計算で 当選を引き当てる方法と比較して、大量の計算時間と電力消費を省略しつつ暗号論的な安全性を保証している優れた方法です。一方で、選出される Validator 数が決定的ではなく二項分布に従うランダムな振る舞い含むことや、当選ノード間の相互認識でプロトコルが複雑性が上がること、当選した diff --git a/docs/ja/02-consensus.md b/docs/ja/02-consensus.md index 37c989dd4..e828f5b5f 100644 --- a/docs/ja/02-consensus.md +++ b/docs/ja/02-consensus.md @@ -117,9 +117,18 @@ Voter 選出では、一つの VRF ハッシュ $t$ から複数のノードを より重要です。Ostracon ではこの Voter 選出にシフトレジスタ型と呼ばれる非常に高速な疑似乱数生成アルゴリズムである SplitMix64 を使用しています。 -## Disciplinary Scheme for Failures +## Failures + +### Disciplinary Scheme Ostracon の合意スキームは少数のノードが故障していても正しく機能しますが、ネットワークや CPU 資源を無駄に消費しないためには故障したノードが コンセンサスグループに選ばれないことが理想的です。とりわけ一般的な非同期メッセージングの問題が原因ではないケース、つまり意図的に行ったと 思われる不正な行為に対しては (悪意の有無に関わらず) その挙動の evidence が共有されて Stake の没収によって選出候補から排除する措置が 取られます。 + +### Write Ahead Log + +このような懲戒制を伴うシステムではノードが意図しない動作を引き起こさないような機構を持つことが重要です。Ostracon は受信したメッセージをすべて +WAL (Write Ahead Log) に記録し、ノード障害から復帰したときに最後に適用したメッセージより後の処理を正しく適用することができます。 +WAL に関する詳細は [Tendermint | WAL](https://github.com/tendermint/tendermint/blob/v0.34.x/spec/consensus/wal.md) +を参照してください。 diff --git a/docs/ja/03-tx-sharing.md b/docs/ja/03-tx-sharing.md new file mode 100644 index 000000000..7e0780a9f --- /dev/null +++ b/docs/ja/03-tx-sharing.md @@ -0,0 +1,38 @@ +# Transaction Sharing + +クライアントはブロックチェーンネットワークを構成している Ostracon ノードのいずれかにトランザクションを送信することができます。トランザクションは +他の Ostracon ノードに伝搬し最終的にすべての Ostracon ノードで共有されます。 + +## Mempool + +あるブロックが Ostracon のコンセンサス機構によって受理されたとき、そのブロックに含まれているトランザクションは *確定した* とみなされます。 +未確定のトランザクションを受信した Ostracon ノードは署名などの検証を行ってブロックとは別の **mempool** という領域に保存します。 + +ある Ostracon ノードが mempool に保存した未確定のトランザクションは他の Ostracon ノードにもブロードキャストされます。ただし、既に受信済み +であったり不正なトランザクションの場合には保存やブロードキャストは行われずに破棄されます。このような手法は *gossipping* (または flooding) +と呼ばれ、$N$ は Ostracon ネットワークのノード数として $O(\log N)$ ホップの速度ですべてのノードに到達します。 + +[リーダー選出](02-consensus.md)によって Proposer に選ばれた Ostracon ノードは mempool に保存されているトランザクションから +新しい提案ブロックを生成します。以下の図は Ostracon ノードがトランザクションを受信し mempool に保存してブロック生成に使用されるまでの +流れを示しています。 + +![Mempool in Ostracon structure](../static/tx-sharing/mempool.png) + +## Performance and Asynchronization + +ブロックチェーンの性能はブロックの生成速度が注目されがちですが、現実的なブロックチェーンシステムではノード間のトランザクション共有効率も全体の +性能に大きく影響する要因です。特に Ostarcon の mempool はネットワーク浸透速度の速い gossipping を使用している対価に短時間で大量の +トランザクションを処理する必要があります。 + +Ostracon は mempool に関して Tendermint の実装にいくつかのキューを追加して非同期化を行っています。この改善によって短時間に大量のトランザクションを +mempool に格納することができるようになり、より現代的な CPU コア数を搭載するノード環境でブロックチェーンネットワークのスループットを改善して +います。 + +## Tx Validation via ABCI + +ABCI (Application Blockchain Interface) はアプリケーションが Ostracon やその他のツールとリモート (gRPC, ABCI-Socket 経由) または +プロセス内 (in-process 経由) で通信するための仕様です。ABCI の詳細については [Tendermint のリポジトリ](https://github.com/tendermint/tendermint/tree/main/abci) +を参照してください。 + +Ostracon のトランザクション検証過程では ABCI を経由してアプリケーションレイヤーにも問い合わせを行います。この動作により (データの観点では正しいが) +本質的に不要なトランザクションをブロックに含めないようにアプリケーションが判断することができます。 diff --git a/docs/ja/03-signature-aggregation.md b/docs/ja/04-signature-aggregation.md similarity index 100% rename from docs/ja/03-signature-aggregation.md rename to docs/ja/04-signature-aggregation.md diff --git a/docs/static/figures.drawio b/docs/static/figures.drawio index 753dbd754..e6decb2ea 100644 --- a/docs/static/figures.drawio +++ b/docs/static/figures.drawio @@ -1 +1 @@ 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