1.
Date to be set via
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Remote rendering for games and 3D graphics
applications in the cloud
Patrick Petit (Bull)
Marius Preda (Telecom Sud Paris)
OW2 Annual Conference 2012 (OW2con'12), November 27-29, 2012

2.
Slide 2/7
Agenda of presentation
Project Organization
Key Tenets and Objectives
Remote Rendering Principle
Platform Logical Architecture

3.
Slide 3/7
Project Organization
Winner of Call for Projects #1
“Cloud Computing” by the
FSN (5 projects selected
nationwide)
Project length: 36 months
Official Start: 01/01/2012
Coordinator: Bull
Open Source (Apache V2)
http://gitorious.ow2.org/xlcloud
http://xlcloud.org/
http://gitorious.ow2.org/xlcloud
ATEME: H264/MPEG-4/AVC low latency
compression algorithms
Bull: cloud infrastructure, distributed systems
architecture and HPC cluster
CEA List: interactive simulation of natural
phenomenons, virtual reality
EISTI: marketplace, OpenERP integration
Inria Reso: energy efficiency
TSP (Lab Artemis): MPEG standardization, video
compression, multimodality
Silkan: massively distributed (HPC) software
architecture for interactive simulation
OW2: communication, dissemination

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Slide 4/7
Key Tenets and Objectives
Provide virtual cluster instances on-demand through self-service API and Web UI
Point to point application latency (lag) < 200 ms (pipeline, capture/encode, network, decode,
display)
Standard compliance (Eg. SAML V2, OAuth 2.0, XACML)
Layered and modular design to allow for seamless support of many types of applications
and workloads (purpose-built PaaS computing environment)
Policy-based Service Level Management (SLM) with automatic scale-up / scale-down
Business applications integration framework for service composition and aggregation
Secure multi-tenant environment (isolation, strong authentication and access control)
Adaptation of the Cloud Management System to best leverage the underlying infrastructure
performance (HPC cluster)
Fine-grained resource usage metering and accounting for chargeback
Energy efficient meaning produce the most output for the least cost

5.
Scene
analyzer
User
interaction
Scene
descriptio
n
Dat
a
AI
Local Input
Network
parameters
Remote Input
Segmentation
map
Depth map
Motion vectors
Application
Engine
Scene Graph
Rendering
engine
2D/3D graphics
Video
Encoder
Graphics
Encoder
RTP/UDP
Packetizer
Streamer
Network ready
packets
Compressed stream
Player
Interactivity
Terminal
parameters
Network
Server
Client
Network
How remote rendering works?
Slide 5/7

6.
Example of games played in Remote Rendering
Slide 6/7

7.
Platform Logical Architecture
Slide 7/7

8.
Thank you for your attention