Task based load balancing for cloud aware massively Multiplayer Online Games
In this paper we propose a task based load distribution framework for Massively Multiplayer Online Games running in hybrid cloud environments. Our solution breaks down high level tasks into subtasks in such a way that i) core subtasks (those with strong timing constraints) are executed at private resources owned by game operators; while ii) background subtasks (those with looser timing/reliability constraints) can be offloaded to temporary resources acquired from a public cloud. Our approach is lightweight and allows for faster deployment of newly acquired servers, making it more suitable for temporary overload situations. We present evaluation results confirming our solution as a viable alternative to traditional strategies.
2016 IEEE 15th International Symposium on Network Computing and Applications (NCA)