Abstract: Embodiments of the invention are directed to a computer system that includes a memory electronically coupled to a processor system. The processor system is operable to perform processor system operations that include accessing a graph model representation of a computer network. The graph model is used to implement a resiliency-problem identification analysis that identifies a set of resiliency problems in the graph model. The graph model is used to apply a resiliency-problem solution analysis to a resiliency problem in the set of resiliency problems to generate a set of resiliency-problem solutions. Each resiliency-problem solution in the set of resiliency-problem solutions is ranked.

Abstract: An analytical request for information that includes queryable attributes mapped to corresponding fields of customer records from in-memory database of a number of data sources is received. Semantic mapping of the queryable attributes to the corresponding fields of the customer records is resolved according to semantic mapping metadata. A query that includes the corresponding fields is generated and over the in-memory database views and a number fan records each representing a unique fan entity. Fan related data is retrieved from the number of fan records and the in-memory database views based on the executed at least one query. Upon executing the query, at runtime the in-memory database views are dynamically integrated with the number fan records based on a cross-reference table linking the in-memory database views with the number of fan records based on a fan identifier.

Abstract: In some example embodiments, organizer requests of different organizing-users and comprising corresponding numbers of seats and at least one guest-user can be received for an event. Guest requests of guest-user and comprising corresponding numbers of seats for the event can be received. A plurality of groups and subgroups can be determined based on the number of seats for the organizing-users and guest-users, with each group in the plurality of groups corresponding to a different one of the organizing-users and comprising a corresponding plurality of subgroups. Seats for the event can allocated to the organizing-users and the guest-users based on their corresponding number of seats and an iterative optimization algorithm, with the iterative optimization algorithm being configured to determine an allocation of seats for the event based on calculated distances between seating positions for each group.

Abstract: An analytical request for information that includes queryable attributes mapped to corresponding fields of customer records from in-memory database of a number of data sources is received. Semantic mapping of the queryable attributes to the corresponding fields of the customer records is resolved according to semantic mapping metadata. A query that includes the corresponding fields is generated and over the in-memory database views and a number fan records each representing a unique fan entity. Fan related data is retrieved from the number of fan records and the in-memory database views based on the executed at least one query. Upon executing the query, at runtime the in-memory database views are dynamically integrated with the number fan records based on a cross-reference table linking the in-memory database views with the number of fan records based on a fan identifier.