Overlay Network Based Optimization of Data Flows in Large Scale Client-Server-based Game Architectures for Deployment on Cloud Platforms Peter Quax, Robin.

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Presentation transcript:

Overlay Network Based Optimization of Data Flows in Large Scale Client-Server-based Game Architectures for Deployment on Cloud Platforms Peter Quax, Robin Marx, Wouter Vanmontfort, Maarten Wijnants, Wim Lamotte

Rationale Networked Virtual Environments Problem of scalability MMOGs, Collaboration, Simulation Problem of scalability Initial cost of infrastructure Popularity Bandwidth Clients, Servers

ALVIC-NG Scalable back-end infrastructure for NVE Generic 3 tier architecture Proxy servers Logic servers Region management system

ALVIC-NG Cloud platform Shards, zones, instances Dynamic spatial subdivision Zoning

Zoning World subdivided into separate areas Each zone assigned to a logic server Multiple zones per logic server Dynamic: split / merge Coarse bandwidth scalability Data from current (and neighboring) zones More fine grained control: AoI

Area of Interest Aura/nimbus/focus Extensions Shapes Stream/entity type advanced simple

AoI-API AoI-API Multiple shapes Many usage scenarios Separate library InterestDefinition Multiple shapes Many usage scenarios Dynamic adjustments LoD

NIProxy Network Intelligence Proxy Provide network traffic shaping Improve QoE Stream hierarchy Bandwidth shaping tree Internal nodes implement bandwidth distribution strategy Non-transparent

Combination Integrate NIProxy into ALVIC-NG Filtering Previously standalone Mainly bandwidth shaping functionality Server vs. Client side bandwidth shaping tree Available client vs. server bandwidth Filtering Pass packets to AoI-API Bandwidth shaping tree with InterestDefinitions

AoI Bandwidth shaping tree

Experiments Multiple experiments conducted to validate viability Small scale Medium scale Large scale Sniper example Scenario Heuristics Best and worst case

Sniper example

Sniper experiment Configuration number Heuristic bandwidth estimation Best case Worst case 1 530 6000 2 2040 3 3600 300

Sniper experiment

Sniper experiment

Other experiments

Conclusion & Future work Combination of ALVIC-NG, NIProxy logic and AoI-API is viable approach Reduces bandwidth consumption Fine grained control Better QoE Optimize proxy servers/ALVIC-NG and algorithms Repeat large scale experiments Thorough study of migration to cloud platforms (in progress) Further investigate bandwidth – consistency trade-off

http://www.uhasselt.be/edm wouter.vanmontfort@uhasselt.be Questions http://www.uhasselt.be/edm wouter.vanmontfort@uhasselt.be