Abstract: Disclosures of the present invention relate to a system and method for preventing, minimizing and penalizing fraudulent actions by matching players in a unique and intelligent way. The system in the present invention is capable of assessing a player's collusion profile which is indicative of the past and future collusive actions of the player. Through processing of multiple collusion profiles, a cluster of players which have a high probability of colluding within themselves may be identified. By identifying such clusters, the system in the present invention ensures that the probability of colluders to play together in a single instance of a game is reduced/minimized, thereby minimizing the probability of collusive actions.

Abstract: A computer-implemented method, medium, and system for global deadlock detection in a hybrid database for transactional and analytical workloads are disclosed. In one computer-implemented method, a daemon is launched on a coordinator segment in a massively parallel processing (MPP) database, where the MPP database is a hybrid database for both transactional workloads and analytical workloads. A respective local wait-for graph for each of a plurality of segments in the MPP database is collected periodically, where each of the plurality of segments includes the coordinator segment or a worker segment of a plurality of worker segments in the MPP database. A global wait-for graph that includes all collected local wait-for graphs is built. The global wait-for graph is used to determine that a global deadlock exists in the MPP database. The global deadlock is broken using one or more predefined policies in response to determining that the global deadlock exists.