Harmony builds an open marketplace at Google-scale for the decentralized economy. This project aims to provide a consensus protocol over the open Internet at 10 million transactions per second with 100-millisecond latency and at most 0.1% fee.
Problems & Solutions
Since the publication of the Bitcoin whitepaper in 2008, the concept of blockchain has spread across the world. While decentralized money and applications are becoming well-publicized ideas, design limitations have challenged the core aspiration of Bitcoin. The original Bitcoin blockchain was designed as a peer-to-peer payment system that allows people to transfer value without intermediaries like banks or payment processors. However, as Bitcoin gained popularity, its performance bottleneck became evident due to its limited throughput of ~7 transactions per second (TPS), and its cost as a payment system became prohibitively expensive.
In 2014, Buterin et. al. proposed a new blockchain infrastructure called Ethereum, which enabled developers to create various kinds of blockchain applications using “smart contracts.” However, Ethereum didn’t solve the scalability problem and, with its ~15 TPS, failed to support high-throughput applications such as gaming or decentralized exchanges. Given Ethereum and Bitcoin’s performance limitations, many blockchain projects proposed various solutions that attempt to increase transaction throughput. Various blockchains proposed to replace Proof-of-Work (PoW) consensus with Proof-of-Stake (PoS) consensus. Other blockchains like EOS use Delegated Proof of Stake (DPoS), where block proposers are elected by voting rather than by an on-chain algorithmic process. Projects like IOTA replaced the chain-of-blocks data structure with a DAG (Directed Acyclic Graph) data structure, which breaks the limitation of sequential processing of transactions.
However, these proposed solutions cannot make significant performance gains without sacrificing other critical aspects, such as security and decentralization. The scalability solution that both preserves security and decentralization is sharding, which creates multiple groups (i.e. shards) of validators and lets them process transactions concurrently. As a result, the total transaction throughput increases linearly as the number of shards grows. Zilliqa was the first public blockchain that proposed to address the scalability problem with sharding. However, Zilliqa's sharding approach falls short in two ways. First, it does not divide the storage of blockchain data (state sharding). This prevents machines with limited resources from participating in the network, thus curtailing decentralization. Second, Zilliqa’s sharding process is susceptible to a single-shard takeover attack due to its reliance on PoW as its randomness generation mechanism.
We introduce Harmony, the next generation sharding-based blockchain that is fully scalable, provably secure, and energy efficient. Harmony addresses the problems of existing blockchains by combining the best research results and engineering practice in an optimally tuned system.
Features & Highlights
Fully Scalable: Harmony shards not only the network communication and transaction validation like Zilliqa, but also shards the blockchain state. This makes Harmony a fully scalable blockchain.
Secure Sharding: Harmony’s sharding process is provably secure thanks to the distributed randomness generation (DRG) process which is unpredictable, unbiaseable, verifiable and scalable. Harmony also reshards the network in a non-interruptive manner to prevent against slowly adaptive byzantine adversaries.
Efficient and Fast Consensus: Unlike other sharding-based blockchains which require PoW to select validators, Harmony is based on PoS and thus energy efficient. Consensus is reached with a linearly scalable BFT algorithm that’s 100 times faster than PBFT.
Adaptive-Thresholded PoS: The threshold of stakes required for a node to join the network is adjusted based on the volume of total staking in a way that malicious stakers cannot concentrate their power in a single shard. Moreover, the threshold is low enough so
that small stakers can still participate in the network and earn rewards.
Scalable Networking Infrastructure: With RaptorQ fountain code, Harmony can propagate blocks quickly within shards or across network by using the Adaptive Information Dispersal Algorithm. Harmony also adopts Kademlia routing  to achieve cross-shard transactions that scale logarithmically with the number of shards.
Consistent Cross-Shard Transactions: Harmony supports cross-shard transactions with shards directly communicating with each other. An atomic locking mechanism is used to ensure the consistency of cross-shard transactions.
- By innovating on both the protocol and network layers, Harmony provides the world with a scalable and secure blockchain system that is able to support the emerging decentralized economy. Harmony will enable applications which were not previously feasible on blockchain,
including high-volume decentralized exchanges, interactive fair games, Visa-scale payment systems, and Internet-of-Things transactions. Harmony strives to scale trust for billions of people and create a radically fair economy.
Token Sale & Economics
- Project website: https://harmony.one/
- Project whitepaper: https://harmony.one/whitepaper
- Token sale start time: 2019-05-27 06:00 UTC
- Ticker: ONE
- Token type: BEP2
- Total hard cap: $23,345,600
- Total supply: 12,600,000,000 ONE
- Initial circulating supply: 24.3% of total supply
- Public sale token price: 1 ONE = $0.003175
- Public sale allocation: 12.5% of total supply
- Private sale token price: No private sales
- Private sale allocation: No private sales
- Private sale vesting period: No private sales
- Seed sale token price: 1 ONE = $0.0065
- Seed sale allocation: 22.4% of total supply
- Seed sale vesting period: 25% to be released before listing, then 25% every 6 months
Token Release Schedule
Token Allocation & Release Note
- Public Sale: 12.5% of total supply
- Seed Sale: 22.4% of total supply
- Team: 16.9% of total supply
- Protocol Development: 26.4% of total supply
- Ecosystem: 21.8% of total supply
- Public Sale: No lockup
- Seed Sale: 25% to be released before listing, then 25% every 6 months
- Team: Locked first 9 months, then monthly vesting in 3 years
- Protocol Development: Biannually vesting in 2.5 years
- Ecosystem: Monthly vesting in 6 years
Token Utility & Use Cases
Harmony’s open, decentralized network is enabled through the use of the native protocol token - Harmony ONE. The token incentivizes and rewards a variety of participants including developers, validators/stakers, investors, and community members who develop, secure and govern the network. In order to use the network, users pay a small transaction fee denominated in the native Harmony token.
Harmony’s scalable, high-throughput protocol is powered by a native token which is used for various forms of payment and participation in the protocol (staking, transaction fees, voting & governance).
Harmony uses blockchain to align incentives of different stakeholders, developers and businesses while allowing them to build open marketplaces of fungible and non-fungible tokens and assets. Furthermore, the upcoming application of zero-knowledge proofs will allow Harmony to become a data sharing platform that can overcome the conflicting problem plaguing many information and data markets: that individual market participants’ have mutual distrust to share data but strong desire to acquire data themselves.
The Harmony token will function in the following aspects of the protocol:
- The token is used for staking, which is necessary to participate in the POS consensus & earn block rewards and transaction fees.
- The token is used to pay for transaction fees, gas and storage fees.
- The token is used in voting for on-chain governance of the protocol.
Roadmap & Updates
- Q2 2018
- 10k tps & 10k nodes network benchmark
- Formed founding team
- Q3 2018
- 118k tps & 41k nodes network benchmark
- Asia roadshow
- Q4 2018
- Launched Devnet; 1.3-sec block propagation benchmark
- Animoca partnership
- Q1 2019
- Open source & research forum
- Whitepaper 2.0
- February 2019
- Testnet 1.0
- Faster consensus using BLS multi-signatures & gossiping broadcast
- Node staking on beacon chain using smart contracts
- Secure resharding with Cuckoo Rule
- Robust peer discovery via libp2p bootnodes & Kademlia routing
- March 2019
- Testnet 2.0
- Instructions for nodes on home networks with NAT Port Mapping Protocol (NAT-PMP), Port Control Protocol (PCP), and Internet Gateway Device (IGD) Control Protocol
- Deployment of Solidity smart contracts, demo apps such as lottery
- Full persistence with archival node, on-chain transaction storage
- Beacon-shard syncing, proof-of-concept for Verifiable Delay Function (VDF)
- Hybrid ECDSA (cold keys for staking) and BLS (hot keys for block validation)
- April 2019
- Testnet 3.0
- A network with peer-to-peer (p2p) using 1 beacon shard + 3 consensus shards
- Cuckoo-rule resharding at 10% reshuffle rate and auto-restarting nodes
- Genesis shard state, new nodes for staking, state sync for beacon chain
- Researching into porting zkproof prototypes such as zkDAI and zkERC20 to Harmony
- Q2 2019
- Lottery and Puzzle demos
- Cross-shard communication
- Harmony Game of Stakes
- Throttled mainnet launch
- Q3 2019
- Kademlia routing
- Rateless erasure code
- Fast state sync
- WASM Prototype
- Full mainnet launch
- Q4 2019
- Porting zero-knowledge proof dApps
- Production services for partners
- Stephen Tse
- Stephen Tse 谢镇滔 has been obsessed with protocols and compilers since high school. He reverse-engineered ICQ and X11 protocols, coded in OCaml for more than 15 years , and graduated with a doctoral degree in security protocols and compiler verification from the University of Pennsylvania.
- Stephen was a researcher at Microsoft Research, a senior infrastructure engineer at Google, and a principal engineer for search ranking at Apple. He founded the mobile search Spotsetter with institutional venture capital; Apple later acquired the startup.
- Nicolas Burtey
- Nicolas Burtey founded a VR video startup in 2012 that grew to 40 people and raised $10m. Orah served the needs of thousands of professional content creators in 70 countries by selling GPU-driven live stitching software and 360° cameras.
- Nicolas holds a bachelor’s degree in mathematics and computer science, and a master’s degree in computational photography. His master’s thesis at Ecole Nationale Supérieure Louis Lumière was titled “The representation of space and time in panoramic photography.”
- Alok Kothari
- Alok Kothari worked on deep learning models for natural language understanding at Apple’s Siri. He conducted research in natural language processing, information retrieval machine learning and published at top conferences like SIGIR, ICWSM and EMNLP. His research paper won the best dataset award at ICWSM 2013.
- Alok’s book “Game Changers” chronicles successful entrepreneurs from his alma mater IIT Kharagpur in India. He also co-founded the entrepreneurship cell there, which has produced 60 student startups. Alok obtained his master’s degree in artificial intelligence and language technologies from Carnegie Mellon University.
- Rongjian Lan
- Rongjian Lan was a search infrastructure engineer for Play Store at Google. He published over 10 academic papers on spatio-temporal querying and map-based visualization. Rongjian started researching on decentralized protocols since early 2017.
- Rongjian is the co-chair of ABC Blockchain Foundation, with more than 100 engineers from Google, Facebook, LinkedIn as members. He was a doctoral candidate of computer science at the University of Maryland College Park and obtained his bachelor’s degree from the University of Science and Technology Beijing.
- Minh Doan
- Minh Doan worked on Google’s Assistant, Play and Plus for 5 years. He was a former champion at USA Computing Olympiad Open and many other Informatics Olympiads. Minh holds the patent for “Publisher Click-Ring Fraud Detector” at Google.
- Minh was a doctoral candidate in algorithms and distributed systems at the University of California, Irvine. He has a master’s degree in computer science and applied mathematics from Moscow State University. His research paper, “An effective ant-based algorithm for the degree-constrained minimum spanning tree problem”, published at IEEE Congress on Evolutionary Computation.
- Nick White
- Nick White holds bachelor’s and master’s degrees in electrical engineering from Stanford University, where he focused on signal processing, optimization and control. As a graduate teaching assistant at Stanford, he researched artificial intelligence and applied mathematics with Prof. Bernard Widrow.
- Nick has served as the AI specialist for Hong Kong-based AI incubator Zeroth.AI, and coached over 20 teams from 5 continents across industries ranging from finance to agriculture to blockchain. He is a certified yoga instructor and an avid surfer.
- Sahil Dewan
- Sahil Dewan is a graduate of Harvard Business School, where he served as president of the blockchain and cryptocurrency club. He has worked at Draper Dragon Fund and advised several blockchain projects.
- Sahil founded FuturEd, an ed-tech startup that pioneered a mobile platform for alumni engagement and fundraising for over 100 educational institutions in India. He was also elected country president for AIESEC India, a youth leadership organization present in more than 125 countries.
- Leo Chen
- Leo Chen led a team of 8 engineers at Amazon Web Services. There he built high-throughput storage virtualizations for more than 200k EC2 instances. At Amazon Lab126 , Leo built the first generation of Kindle Fire and architected FireOS for all Amazon devices. At Ericsson and Broadcom he worked on their Linux kernel, embedded systems and large-scale distributed systems.
- Leo holds a master’s degree in data mining from Simon Fraser University and a bachelor’s degree from Zhejiang University. Leo has completed 8 full marathons and hiked the Grand Canyon R3, John Muir Trail, and soon the entire Pacific Crest Trail.
- Kunal Patel
- Kunal Patel drives the security design and architecture of Samsung Pay and various Samsung Knox projects. As a member of the B2B security team, he conducts internal reviews, partnership evaluations, program analysis research and incident response for Samsung. Kunal has worked with researchers and startups on anti-malware, cryptography and program verification.
- Kunal obtained a bachelor’s degree from North Carolina State University. His specialties include systems security, applied cryptography and protocols. Kunal is interested in understanding intelligence in all its forms.
- Eugene Kim
- Eugene Kim developed advanced networking protocols during his 15-year tenure at NTT and his 3 years in the networking infrastructure division of AWS. Eugene also built server-side software at Activision Blizzard for the next-generation MMORPG that eventually became Overwatch.
- Eugene has long been an active contributor to the open-source community, particularly in the networking and storage subsystems of FreeBSD and Linux. He holds two US patents on GPU-based acceleration of routing decisions in large-scale datacenter networks. As a professional musician with commercially released songs, Eugene cares deeply about digital rights management.
- Li Jiang
- Li Jiang 蒋犁 has founded a logistic startup during college with the highest revenue. During his six years at GSV Capital, Li organized Pioneer Summit and Global Education Summit with 1,500 attendees including Bill Campbell and Barack Obama.
- Li holds an economics degree from Northwestern University. He is an adjunct professor at Northwestern's Farley Center for Entrepreneurship and Innovation. Li trains on ultimate frisbee daily and owns an amateur team that won nationally in 2017.
- Chao Ma
- Chao Ma was a machine learning scientist at Amazon. He worked on marketplace abuse prevention, retail products pricing and natural language processing. Chao implemented an IPFS prototype in early 2017.
- Chao got his bachelor's degree from University of Science and Technology of China, master's degree from Zhejiang University, and Ph.D. in mathematics from CU Boulder. Chao published 6 papers on non-linear analysis and partial differential equations in Advances in Mathematics and other top journals.
- Hakwan Lau, Collaborator
- Hakwan Lau is a full professor at University of California, Los Angeles. He specializes in neuroscience and machine learning. Hakwan studied at University of Oxford on the prestigious Rhodes Scholarship, served as associate professor at Columbia University, and has published over 90 peer-reviewed papers.
- Hakwan’s latest paper in Science, “What is consciousness, and could machines have it?” was widely-circulated within the research community. With Harmony, he is exploring the connection between probabilistic consensus protocols and brain communication. Hakwan is also studying privacy-preserving modeling of health data on blockchain.
- Ka-yuet Liu, Collaborator
- Ka-yuet Liu is a tenured associate professor at the University of California, Los Angeles. She specializes in medical data, network analysis, and other system science methods. She received her Ph.D. in Sociology from the University of Oxford and did her post-doctorate at Columbia University.
- Ka uses population-wide, sensitive data from governments to study health and builds large empirically-calibrated , agent-based models to predict disease patterns. Her research is funded by major grants from the National Institute of Health. Ka’s paper “Social Influence and the Autism Epidemic” won the prestigious Eliot Freidson Award.
- Zi Wang, Collaborator
- Zi Wang worked on Google Chrome, Google X, Android and Nexus from 2006-2015. He was Google’s first global creative director for its hardware division and co-founded a Google research lab with a $20m budget.
- Zi founded Quantum Bakery, a startup partnering with Google, Corning and Toyota to develop consumer products with ambient intelligence. He holds a bachelor’s degree in computer science and a master’s degree in economics.
- Bruce Huang, Collaborator
- Bruce Huang 黄海旻 was a lead engineer at Microsoft for 7 years, a director at Alibaba Cloud and at Credit Ease. Later, he became the CEO of Madailicai, a top peer lending company in China.
- Bruce obtained his master's degree in computer science from the Simon Fraser University. He is a certified snowboard instructor.
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|Sharding Dimension||Network Sharding Transaction Sharding State Sharding||Network Sharding Transaction Sharding||No Sharding||Network Sharding Transaction Sharding State Sharding||Network Sharding Transaction Sharding State Sharding||Network Sharding Transaction Sharding State Sharding|
|Consensus||BLS-based FBFT||Schnorr-based pBFT||Threshold Relay||Casper FFG+CBC||PoW||pBFT|
|Sybil Attack Prevention||PoS||PoW||PoS||PoS||PoW||PoS|
|Single Shard Performance||1000+ TPS||~500TPS||N/A||N/A||~60TPS||533TPS|
|Core Implementation||Golang||C++||Not Open Source||Golang||Python||Not Open Source|
|Single Shard Attack||Secure||Vulnerable||N/A||Secure||Vulnerable||Moderately Vulnerable|
|Randomness Source||Secure Distributed Randomness Generation Protocol using VRF and VDF||PoW hash provided by individual miner||VRF based on BLS threshold signature||Randao Protocol + VDF||No Randomness Used||VRF executed by individual validator|
|Cross Shard Transaction||Shard-driven merkle proof-based cross-shart transaction with efficient Kademlia cross-shard routing||Cross-shard operation handled by the single mainchain||N/A||Shard-driven merkle proof-based cross-shart transaction||Mainchain-driven cross-shard transaction broadcast; Kademlia routing||Read-only cross-shard interaction|
|Network Layer||P2p gossip broadcast; Erasure code-based efficient||P2p gossip broadcast||P2p gossip broadcast||P2p gossip broadcast||P2p gossip broadcast||P2p gossip broadcast|
|Linear Scalability||High||Low||Not scalable||Medium||Medium||High|
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