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Paris, Sophia Antipolis, London, San Jose USA
PrestoCloud: Big Data Orchestration for
Batch+Stream in Clouds & Fogs with A...
Global Locations
Partnerships
Key information
Management
Denis
Caromel, CEO
François
Tournesac, CSO
Brian Amedro,
CTO
 Fo...
Core Product
Processing & Automation Workflows
Scheduling & Orchestration
Resource
Management
& Monitoring
Workflow
Studio...
Big Compute for Everyone
</>
Remote
Visualization
Integrated Web
Portals
API
Scheduler & Meta-Scheduler
Resource Manager
C...
PrEstoCloud
Proactive Cloud Resources
Management At The Edge For
Efficient Real-time Big Data
Processing
PrEstoCloud Factsheet
Partners
• 36 months
• Starts on January 2017
• Ends on December 2019
• ActiveEon:
• Core tech Provi...
Role of Partners
PrEstoCloud
PrEstoCloud Platform
Cloud-Edge Communication Layer
Cloud Application
Communication & Message Broker
Devices L...
Resources Management
Extended TOSCA specification
• On public & private clouds: Virtual machines, Containers
• On edge dev...
Real-time big data processing
Resource provisioning
• Scheduling and orchestration of (de)commissioning workflows
• Real-t...
Kafka Storm Visdom Streaming
Real-Time Data Streaming using ActiveEon
Workflows:
• Apache Kafka (Data streaming)
• Apache ...
Testing the New
Azure Data Centers
with Microsoft & ActiveEon
Azure PoC in the Box
Azure Node Source InfrastructureAzure Node Source Infrastructure
Scale automatically
Leverage Azure s...
150 K Nodes Benchmarks on Azure
Paris, Sophia Antipolis, London, San Jose USA @activeeon
contact@activeeon.com
+33 988 777 660
Automate Accelerate & Scale...
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#OSSPARIS17 - PrestoCloud Project: Big Data Orchestration for Batch+Stream in Clouds&Fogs with ActiveEon, by DENIS CAROMEL, VINCENT KHERBACHE, SOPHIE SONG, PASCAL URSO, ActiveEon

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#OSSPARIS17 - PrestoCloud Project: Big Data Orchestration for Batch+Stream in Clouds&Fogs with ActiveEon, by DENIS CAROMEL, VINCENT KHERBACHE, SOPHIE SONG, PASCAL URSO, ActiveEon

  1. 1. Paris, Sophia Antipolis, London, San Jose USA PrestoCloud: Big Data Orchestration for Batch+Stream in Clouds & Fogs with ActiveEon Denis Caromel, Vincent Kherbache, Sophie Song, Pascal Urso
  2. 2. Global Locations Partnerships Key information Management Denis Caromel, CEO François Tournesac, CSO Brian Amedro, CTO  Founded in 2007 by Denis Caromel in Sophia-Antipolis, Spin-off of INRIA  Addressing $80 Billion Hybrid Cloud Market with 27% CAGR  Disruptive Patented Technology w/ Exceptional Business Outcomes  60% of the revenue from international Sophia-Antipolis (France) Paris (France) London (United Kingdom) San-Jose (United States) Montreal (Canada) Fribourg (Switzerland) Dakar (Senegal) ProActive Solution Job Scheduling, Workload Automation Orchestration & Meta-Scheduling On-premises and on all clouds Open Source
  3. 3. Core Product Processing & Automation Workflows Scheduling & Orchestration Resource Management & Monitoring Workflow Studio Job Console Resource Manager
  4. 4. Big Compute for Everyone </> Remote Visualization Integrated Web Portals API Scheduler & Meta-Scheduler Resource Manager Clusters LSF Application-specific Interfaces ProActive Workflows Fault Tolerance Cloud bursting Resource agnostic Micro-service
  5. 5. PrEstoCloud Proactive Cloud Resources Management At The Edge For Efficient Real-time Big Data Processing
  6. 6. PrEstoCloud Factsheet Partners • 36 months • Starts on January 2017 • Ends on December 2019 • ActiveEon: • Core tech Provider • 60 PM • 501K€ • Provides Cloud Automation, Workflows and Scheduling for Real-Time Big Data Processing
  7. 7. Role of Partners
  8. 8. PrEstoCloud PrEstoCloud Platform Cloud-Edge Communication Layer Cloud Application Communication & Message Broker Devices Layer Application Developer Control Layer Code-level Annotation s Application Requirements Meta-Management Layer Semantic Model DevOps placement requirements scalability requirements Events & Messages Mesh Network- aware application Spatio- Temporal Processing Library Resources Adaptation Recommender Application Fragmentation & Deployment Recommender Situation Detection Mechanism Workload predictor Mobile Context Analyzer predictions Mesh Network- aware application Spatio- Temporal Processing Library Security Enforcement Mechanism Cloud Infrastructure Layer Events & Messages Application Placement & Scheduling Controller Autonomic Resource Manager Autonomic Data Intensive Application Manager DevOps Cloud Deployment and Management Edge Deployment and Management Monitoring Probes On/Offloading Agents Monitoring Probes On/Offloading Agents Monitoring Probes Inter-site Network Virtualisation Mobile On/Offload Processing Cloud and Edge Resources Repository Events & Messages Real Time Data Streams Edge application Monitoring Probes On/Offloading Agents Events & Message s Mesh Network- aware application Spatio- Temporal Processing Library Monitoring Probes On/Offloading Agents Real Time Data Streams Monitoring Probes Installer 8
  9. 9. Resources Management Extended TOSCA specification • On public & private clouds: Virtual machines, Containers • On edge devices: Containers, Mobile app Inter-site, multi-layer network virtualization • Route-based VPN • Security enforcement mechanism (RBAC, NFV)
  10. 10. Real-time big data processing Resource provisioning • Scheduling and orchestration of (de)commissioning workflows • Real-time events for the monitoring of Cloud/Edge resources and applications Message broker (AMQP, MQTT, etc.) • Decision-making in the resources placement Recommendation system (Constraints solver) Data-intensive applications management • Predictive Workload management • Scheduling and orchestration of deployment workflows (Re)configuration
  11. 11. Kafka Storm Visdom Streaming Real-Time Data Streaming using ActiveEon Workflows: • Apache Kafka (Data streaming) • Apache Storm (Real-time stream processing) • Visdom (Stream Visualization from Facebook) https://www.youtube.com/watch?v=i6ZOyoXSq- A&t=5s
  12. 12. Testing the New Azure Data Centers with Microsoft & ActiveEon
  13. 13. Azure PoC in the Box Azure Node Source InfrastructureAzure Node Source Infrastructure Scale automatically Leverage Azure services Existing Resources Local & Network Resources Private Cloud, HPC & Others Resource Manager Workflow Scheduler </> Azure Node Source Infrastructure LSF Using Azure Scale Sets Deploy over 150 k nodes
  14. 14. 150 K Nodes Benchmarks on Azure
  15. 15. Paris, Sophia Antipolis, London, San Jose USA @activeeon contact@activeeon.com +33 988 777 660 Automate Accelerate & Scale 10K Nodes, 20K Tasks, 1M Jobs

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