Distributed garbage collection

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Distributed garbage collection (DGC) in computing is a particular case of garbage collection where references to an object can be held by a remote client.

DGC uses some combination of the classical garbage collection (GC) techniques, tracing and reference counting. It has to cooperate with local garbage collectors in each process in order to keep global counts, or to globally trace accessibility of data. In general, remote processors do not have to know about internal counting or tracing in a given process, and the relevant information is stored in interfaces associated with each process.

DGC is complex and can be costly and slow in freeing memory. One cheap way of avoiding DGC algorithms is typically to rely on a time lease set or configured on the remote object; it is the stub's task to periodically renew the lease on the remote object. If the lease has expired, the server process (the process owning the remote object) can safely assume that either the client is no longer interested in the object, or that a network partition or crash obstructed lease renewal, in which case it is "hard luck" for the client if it is in fact still interested. Hence, if there is only a single reference to the remote object on the server representing a remote reference from that client, that reference can be dropped, which will mean the object will be garbage collected by the local garbage collector on the server at some future point in time.