Fluence

Fluence

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Fluence is a decentralized platform designed to enable the freedom of digital innovation via peer-to-peer applications. Fluence provides an open-source, permissionless, decentralized platform and a development toolkit for building, hosting, and running peer-to-peer applications and protocols
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약 Fluence

Fluence is a peer-to-peer application platform which allows the creation of applications free of proprietary cloud providers or centralized APIs. Fluence provides a peer-to-peer development stack so that you can program p2p applications, workflows, and compose services, APIs without relying on centralized intermediaries. The Fluence stack is 100% open source, is maintained and governed by a community of developers.   At the core of Fluence is the open-source language Aqua that allows for the programming of peer-to-peer scenarios separately from the computations on peers. Applications are turned into hostless workflows over distributed function calls, which enables various levels of decentralization: from handling by a limited set of servers to completely peer-to-peer architecture by connecting user devices directly.   Applications can run computations on nodes maintained by other network members and compensate the node operators as they would at any other cloud platform. The hosting payments are executed using cryptocurrency, creating an open, decentralized application hosting market.

풍모

Fluence brings the next generation of internet computing, which is permissionless, scalable, and composable.

Permissionless Protocol   Anyone can connect to the network, run a node, deploy services and applications without any permission of a third party. Applications can leverage existing services to build faster and provide a better user experience. Node operators can re-host existing services providing better resilience under a higher load.   Pluggable Data   Any external data source, API, or another decentralized protocol can be plugged into applications on Fluence. This allows usage of Fluence as a decentralized computing layer on top of various Web 3 protocols, decentralized storage, blockchains, DID, etc. At its core, Fluence leverages IPFS as a default data layer for distributing and updating services on network nodes.   High Scalability   Applications will be able to create as many subnetworks in the global Fluence network as they need, so the global capacity is estimated in billions of peers. Peers in subnetworks have better connectivity among each other and prioritize outside connections lower. This way the network scales via shards and their ad-hoc communication.   Service Discovery

Various workloads can be announced and discovered over the Fluence network. Applications may offload tasks to external service providers who are known by their public credentials or using decentralized identity standards and verifiable credentials. These providers may serve required API, computation; provide a certain type of hardware (e.g. GPU, Trusted execution environments, etc).   Computation Verifiability   The security model of Fluence allows applications to execute only on nodes they know and trust. All execution is cryptographically signed, so clients can always check if the computation was performed by an eligible peer.   Flexible Consensus   In case when trustless consensus is required, it can be deployed for a specific job. The optionality of consensus enables applications to combine blockchain-level security with a greater scale of trusted computations. Fluence supports various types of network consensus as Aqua libraries. Because Aqua is perfect for implementing network coordination algorithms, both trusted (e.g. Raft) and trustless (e.g. Tendermint) consensus engines can be developed on Aqua and integrated into applications.

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  • Phase 1 Initial EARLY 2021

  • Create p2p applications and protocols using Aqua
  • Phase 2 Growth LATE 2021, EARLY 2022

  • Govern Fluence via the DAO, vote for protocol updates and treasury allocations
  • Phase 3 Self-sustaining 2022

  • Contribute and earn value by running nodes and creating code
  • Phase 4 Internet of protocols TBD

  • Build new p2p experiences by composing self-sustaining protocols

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Evgeny Ponomarev
Co-Founder & COO, Cloudless Labs
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Bernhard Borges
Chief Scientist, Cloudless Labs
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Tom Trowbridge
Co-Founder & CEO, Cloudless Labs
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Dmitry Kurinskiy
CTO / Co-founder
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