blockchain-based fully distributed cloud computing€¦ · stimergy: install 10 to 100kw server...
TRANSCRIPT
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http://iex.ec
Blockchain-based Fully Distributed
Cloud Computing
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The Promise of Ethereum
• Dapps: Distributed Applications running on the Blockchain
How to satisfy compute/data-intensive DApps ?
Blockchain offer limited computing resources : storage is
expensive, slow EVM, high tx latency etc.
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iEx.ec Objective
• Provides Blockchain-based Distributed Applications
access to the off-chain computing resources they need:
– Computing resources (CPU, GPU, storage)
– Data access (remote storage)
– Applications (compute and/or data-intensive)
– Services (deployed as containers)
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Global Market for Computing Resources
Low cost, Secure, on Demand and Fully Distributed
Cloud
Ethereum
Blockchain
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Towards Distributed Cloud
Computing
• Benefits of Decentralizing Data-Centers.– Better energy efficiency– Data closer to the user
• Example of next-gen Data-centers
• Fog/Edge Computing5G network -- In-network storage and processing
a) Rutgersb) Stimergyc) Qarnot
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Origin of the Technology :
Desktop Grid Computing
Using Idle PCs on the Internet to
Execute Parallel Applications :
• Mature technology
• Advanced features: security, virtualization, QoS
• Many applications : Finance, Bio-medical, Chemistry, High Energy Physics etc…
• European Desktop Grid Infrastructure
• http://desktopgridfederation.orgBook on Desktop Grid Computin. Ed. C. Cérin & G. Fedak, CRC/Chapman and all
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XtremWeb XtremWeb-HEP
BitDew SpeQuloS
MapReduce
MPICH-V
2000
• 1st Internet P2P Global
Computing Platform
• Bag-of Task Application
• Multi-users & multi-
applications
• Grid & Cloud
• Highly secure
• Virtualization
• Hybrid public/private
Infrastructure
• Parallel computing
• N-faults resilience
20012003
2008 20122010
• Big Data
• 1st Implementation of
MapReduce for Internet
Computing
• Large Scale Data
Management
• QoS for Best-effort
infrastructure
Building Distributed Cloud
>1M€ EU FP7, ANR funding, ≈100 papers published
Tens of users/applications: Finance, HEP, biomedical research…
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iEx.ec Experiments
Resource Management Middleware (XtremWeb-HEP, BitDew)
Ethereum Blockchain
Distributed Cloud: Grid5K, Stimergy
Applications (non-blockchain based) E-Fast
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Resource Management on the Blockchain
Resource Provisioning
Market Management Framework
MatchmakingTask/Computing resources
Multi –CriteriaScheduling
Result certification
Verified File transfer
Resource Publication
Resource Ontology
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E-FAST : E-Services Framework for
Knowledge-bAsed Decision SupporT in
Finance
Service Oriented Platform:Integrated, advanced tools to analyze financial market data, high-level services that automatically react to market changes and propose investment alternatives
Data and Computing-Intensive Methods:Text-mining, Neural Networks and Genetic Algorithms, enhanced by applying relevant findings from the efficient-market theory study.
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Selling E-FAST using iEx.ecCustomers access E-FAST services which uses iEx.ec for their execution: Only pay for resources when a service has been sold to a customer
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Testbed
Grid5000French Infrastructure dedicated
for research in distributedsystems:• 9 sites, 1000 nodes, 8000 cores• GPU, Xeon Phi, SSD•10Gb network•Fully reconfigurable (bare metalaccess)
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Stimergy: install 10 to 100kW server rooms in buildings and coupling themwith their heating system to valorise
the heat generated by computers whilegetting rid of air conditionners
Using Stimergy servers as
iEx.ec computing resources
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iEx.ec Architecture (Envisioned)
iEx.ec Sidechain (Proof-of-Contribution)
Ethereum Blockchain
Distributed Cloud
Blockchain-based Distributed Applications (Dapps)
Resource Management (XtremWeb-HEP, BitDew, Gollem, …)
Sidechain for Cloud
• consensus for off-chainresource utilisation (Proof-of-Contribution) • transient information• specific workload• partial consensus
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Conclusion
iEx.ec: Greener & Smarter Cloud Computing
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Thanks to
Mircea Moca (Universitatea Babeș-Bolyai)
Oleg Lodygesnsky (IN2P3/CNRS/Univ. Paris XI)
Wanxiang Blockchain Lab, DACA
cryptofr slack team, chaintech