Abstract: A system and method for a planned migration of service connections from a first database instance to a second database instance in a clustered database. In accordance with an embodiment, a data source and connection pool enable access by a software application to a service on the first database instance. The data source is associated with a parameter specifying a delay-for-planned-draining, and a parameter specifying a planned-draining-period, which are used to rebalance connections when relocating a service. When a service is stopped on the first database instance, the connection pool receives a “service down” event from a notification service, and maintains the connections up to a time corresponding to the delay-for-planned-draining. When a “service up” event is received, the connection pool spreads migration of the connections from the first to second database instance over the planned-draining-period.

Abstract: The present invention provides methods and systems for monetizing content of a first user of a social networking platform. The methods and systems include receiving a request from a second user in a social networking connections of the first user, accepting the second user in the social networking connections of the first user based on the enrollment in at least one of the subscription model by a third party, delivering a subset of content of the first user to the second user for a pre-defined period of time through a pre-defined communication channel, and disassociating the second user from the social networking connections after the expiry of at least one of the subscription model. The second user sends the request by enrolling for at least one of a subscription model. The third party is authorized by the first user and the content is posted by the first user.

Abstract: A better basis for a further processing such as virtual view rendering, in form of a disparity map is achieved. To this end, the disparity map generation is done in two separate steps, namely the generation of two depth/disparity map estimates based on two different pairs of views of the scene in a manner independent from each other, with then comparing both depth/disparity map estimates so as to obtain a reliability measure for one or both of the depth/disparity map estimates.