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Massively Multiplayer Online Games (MMOGs) have grown to entertain tens of millions of players daily. Currently, the game operators and third-parties using gameplay information rely on pre-provisioned resources to analyze the current status of the player community and the evolution of this status over time. Instead, with the appearance of cloud computing it has become attractive to use on-demand resources to run automated MMOG data analytics tools. Thus, in this work the authors introduce CAMEO, an architecture for Continuous Analytics for Massively multiplayEr Online games on cloud resources. The architecture provides various mechanisms for MMOG data collection and continuous analytics of a pre-determined accuracy in real settings.
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