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Denominations | |
---|---|
Code | AVAX |
Development | |
Original author(s) | Emin Gün Sirer, Kevin Sekniqi, Maofan “Ted” Yin |
White paper | https://www.avalabs.org/whitepapers |
Initial release | 23 September 2020 |
Code repository | https://github.com/ava-labs/ |
Development status | Active |
Written in | Go, TypeScript, JavaScript, Python, Vue |
Developer(s) | Ava Labs |
Source model | Open source |
Ledger | |
Block explorer | https://explorer.avax.network/ |
Website | |
Website | https://avax.network/ |
Avalanche is a decentralized, open-source proof-of-stake blockchain with smart contract functionality. AVAX is the native cryptocurrency of the platform.
Avalanche was conceptualized as a consensus protocol that operates efficiently in a network of unreliable machines, addressing both crash-faults and Byzantine faults. [1] The foundations of Avalanche were first shared in May 2018 through the InterPlanetary File System (IPFS) by a pseudonymous group known as "Team Rocket". [2]
Avalanche was later developed by researchers from Cornell University, led by Emin Gün Sirer and doctoral students Maofan "Ted" Yin and Kevin Sekniqi. [3] After the initial release phase, they founded a startup technology company to develop a blockchain network that would meet finance industry requirements. [4] [5] [3] In March, 2020, the AVA codebase, part of the Developer Accelerator Program or AVA DAP) for the Avalanche consensus protocol, was released as open-source and made publicly available. [6]
In September 2021, the Ava labs foundation secured a $230 million from a consortium including Polychain Capital and Three Arrows Capital through the purchase of the AVAX cryptocurrency. [7]
In November 2021, following an agreement with Deloitte to improve U.S. disaster-relief funding, the Avalanche blockchain entered the top 10 cryptocurrencies by market capitalization. [8]
In August 2022, the whistleblower group "Crypto Leaks" published a report alleging that Ava Labs had entered secret agreements with the Roche Freedmen law firm with the intent to legally undermine Avalanche's competitors. Emin Gün Sirer, the CEO of Ava Labs, denied any involvement in illegal or unethical dealings with Roche Freedmen law firm. [9]
In January 2023, a partnership was announced between Avalanche and Amazon Web Services (AWS) to improve Avalanche's infrastructure and decentralized application ecosystem. [10] Arkham Intelligence also announced a partnership with Avalanche, allowing Arkham users to analyze the activities of wallets and entities within the Avalanche ecosystem.
In September, 2020, the company issued on X-Chain its native token Avax. [11] [12]
The protocol has four basic interrelated mechanisms that compose structural support of the consensus tool. These four mechanisms are Slush, Snowflake, Snowball, and Avalanche. By using randomized sampling and metastability to ascertain and persist transactions, it represents a new protocol family. Although the original paper focused on a single protocol, namely Avalanche, it implicitly introduced a broad spectrum of voting-based, or quorum-based consensus protocols, called the Snow family. [2] While Avalanche is a single instantiation, the Snow family seems to be able to generalize all quorum-based voting protocols for replica control. Unlike prior quorum-based work, the Snow family enables arbitrarily parametrizable failure probability at the quorum intersection level. Standard quorum-based protocols define this failure probability to be precisely zero, but by introducing errors in the quorum intersection, a larger set of consensus protocol designs is available. [13]
Consensus protocols are the basis for the state machine replication problem, which aims to enable a set of machines to achieve agreement over a network even when a subset of the machines are corrupted. There are two major families of consensus protocols to date - classical consensus and Nakamoto consensus protocols. [14] The first achieves consensus through quorums, thus requiring voting. Famous instantiations of this are Paxos (in the crash-fault-tolerant environment) and PBFT [15] in the Byzantine-fault tolerant case. These protocols achieve agreement in a similar operation to a parliament: a proposal (transaction) is proposed and voted on to be accepted or rejected. If sufficient votes cast by the various replicas are accumulated (typically collected through elected leader replica), then a quorum is achieved, and thus agreement.
The second family, pioneered by Satoshi Nakamoto and Bitcoin is that of the Nakamoto consensus. Unlike quorum-based protocols, machines operating an instance of Nakamoto consensus achieve agreement on transactions by downloading the longest chain (typically called a fork). In Bitcoin, the longest chain is verified by ensuring that it is the one with the highest degree of work (or proof of work). Snow, while quorum-based, seems to be a universal generalization of all quorum-based protocols. Unlike prior work which requires that quorums be deterministic, i.e. the failure probability is precisely zero, Avalanche loosens this requirement, thus enabling quorum-based protocols to estimate global network state with errors. [13]
While the Snow family can be theoretically generalized to all classes of assumptions that quorum-based protocols have previously made, the formalization paper analyzes Avalanche under an asynchronous network in the Byzantine setting. [16] [15] [17] The assumptions are as follows:
Processors
Network
The Avalanche consensus algorithm is a unique approach to achieving consensus in various blockchain networks. It utilizes a randomized voting system to quickly confirm transactions, achieve high throughput, and reduce the risk of splits. This approach also allows for the creation of subnets, which can operate independently with their own validators and parameters. [18]
The consensus mechanism also involves a set of sub-protocols, including Avalanche-X, Avalanche-C, and Avalanche-P. [18]
The Snow family generalizes the typical definitions of safety and liveness encountered in quorum-based protocols. For Avalanche specifically, these properties are:
Avalanche, like other asynchronous networks, is not guaranteed to terminate and thus does not have the liveness property, during asynchrony. Like Paxos, Avalanche's goal is to ensure fault tolerance and it guarantees safety under asynchrony, but not liveness. This is in contrast to Nakamoto consensus, which guarantees liveness, and not safety under asynchrony. [15]
A Byzantine fault is a condition of a system, particularly a distributed computing system, where a fault occurs such that different symptoms are presented to different observers, including imperfect information on whether a system component has failed. The term takes its name from an allegory, the "Byzantine generals problem", developed to describe a situation in which, to avoid catastrophic failure of a system, the system's actors must agree on a strategy, but some of these actors are unreliable in such a way as to cause other (good) actors to disagree on the strategy and they may be unaware of the disagreement.
A fundamental problem in distributed computing and multi-agent systems is to achieve overall system reliability in the presence of a number of faulty processes. This often requires coordinating processes to reach consensus, or agree on some data value that is needed during computation. Example applications of consensus include agreeing on what transactions to commit to a database in which order, state machine replication, and atomic broadcasts. Real-world applications often requiring consensus include cloud computing, clock synchronization, PageRank, opinion formation, smart power grids, state estimation, control of UAVs, load balancing, blockchain, and others.
In computer science, state machine replication (SMR) or state machine approach is a general method for implementing a fault-tolerant service by replicating servers and coordinating client interactions with server replicas. The approach also provides a framework for understanding and designing replication management protocols.
Paxos is a family of protocols for solving consensus in a network of unreliable or fallible processors. Consensus is the process of agreeing on one result among a group of participants. This problem becomes difficult when the participants or their communications may experience failures.
A cryptocurrency, crypto-currency, or crypto is a digital currency designed to work as a medium of exchange through a computer network that is not reliant on any central authority, such as a government or bank, to uphold or maintain it. It has, from a financial point of view, grown to be its own asset class. However, on the contrary to other asset classes like equities or commodities, sectors have not been officially defined as of yet, though abstract versions of them exist.
Proof-of-stake (PoS) protocols are a class of consensus mechanisms for blockchains that work by selecting validators in proportion to their quantity of holdings in the associated cryptocurrency. This is done to avoid the computational cost of proof-of-work (POW) schemes. The first functioning use of PoS for cryptocurrency was Peercoin in 2012, although the scheme, on the surface, still resembled a POW.
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Cardano is a public blockchain platform. It is open-source and decentralized, with consensus achieved using proof of stake. It can facilitate peer-to-peer transactions with its internal cryptocurrency, ADA.
Emin Gün Sirer is a Turkish-American computer scientist. Sirer developed the Avalanche Consensus protocol underlying the Avalanche blockchain platform, and is currently the CEO and co-founder of Ava Labs. He was an associate professor of computer science at Cornell University, and is the former co-director of The Initiative for Cryptocurrencies and Smart Contracts (IC3). He is known for his contributions to peer-to-peer systems, operating systems and computer networking.
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