#ECOSYSTEM / Floss - Innovation collaborative

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. 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. Core Product
Processing & Automation Workflows
Scheduling & Orchestration
Resource
Management
& Monitoring
Workflow
Studio
Job
Console
Resource
Manager

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. PrEstoCloud
Proactive Cloud Resources
Management At The Edge For
Efficient Real-time Big Data
Processing

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. Role of Partners

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. 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. 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. 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. Testing the New
Azure Data Centers
with Microsoft & ActiveEon

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. 150 K Nodes Benchmarks on Azure

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