Abstract: Technology is described for computationally intensive distributed computing systems and methods. A storage process for representing data objects in memory using a serialization format that provides low replication cost and thread-safe reads may include receiving a data object by a computing hub. A distributed shared memory of the computing hub may write the data object to a memory device associated with the computing hub using a byte array broken into a plurality of sections. The plurality of sections may describe the in-memory content of the data object and include information on how to read the plurality of sections to obtain a current state of the data object. The distributed shared memory may process requests from processing applications to modify data associated with the data object. The distributed shared memory may write mutations to the data object caused by the requests to the memory device using an ordered, log-based format to provide versioned snapshots of state.

Abstract: Technology is described for using spatial analysis of data objects associated with a multi-dimensional virtual environment to organize computational units in a distributed computing system. The data objects may be grouped together using spatial location information and collections of data objects may be treated as processing partitions (i.e., sub-divisions of the entire group of data objects). A mapping may be created between the data objects and processing partitions for processing applications which process data objects assigned to a processing partition. The processing partitions may be defined, in part, according to how the data objects are grouped together spatially. The processing partitions may be load-balanced across hardware hosts in the distributed computing system.

Abstract: Technology is described for computationally intensive distributed computing systems and methods. A method for using object types to distribute processing may include determining object types for data objects. A mapping between the data objects and processing partitions may be determined using the object types. A processing partition may be associated with a processing application that processes data objects of a given object type. A hardware host in a distributed computing system may identify an application library having a plurality of processing applications that process a plurality of data objects associated with a plurality of object types. The hardware host may use the processing partition assigned to the hardware host to identify the processing application for the object type associated with the processing partition from the application library. The hardware host may launch an instance of the processing application to enable the hardware host to process the plurality of data objects.

Abstract: Technology is described for computationally intensive distributed computing systems and methods. A method for using object types to distribute processing may include determining object types for data objects. A mapping between the data objects and processing partitions may be determined using the object types. A processing partition may be associated with a processing application that processes data objects of a given object type. A hardware host in a distributed computing system may be identified to process the data objects of the given object type, which are mapped to the processing partition. The processing partition may be sent to the hardware host to process the data objects, and the hardware host may include an instance of the processing application to process the data objects in the processing partition.

Abstract: Technology is described for computationally intensive distributed computing systems and methods. A storage process for representing data objects in memory using a serialization format that provides low replication cost and thread-safe reads may include receiving a data object by a computing hub. A distributed shared memory of the computing hub may write the data object to a memory device associated with the computing hub using a byte array broken into a plurality of sections. The plurality of sections may describe the in-memory content of the data object and include information on how to read the plurality of sections to obtain a current state of the data object. The distributed shared memory may process requests from processing applications to modify data associated with the data object. The distributed shared memory may write mutations to the data object caused by the requests to the memory device using an ordered, log-based format to provide versioned snapshots of state.

Abstract: Technology is described for computationally intensive distributed computing systems and methods. A method for using object types to distribute processing may include determining object types for data objects. A mapping between the data objects and processing partitions may be determined using the object types. A processing partition may be associated with a processing application that processes data objects of a given object type. A hardware host in a distributed computing system may be identified to process the data objects of the given object type, which are mapped to the processing partition. The processing partition may be sent to the hardware host to process the data objects, and the hardware host may include an instance of the processing application to process the data objects in the processing partition.

Abstract: Technology is described for computationally intensive distributed computing systems and methods. A method for using object types to distribute processing may include determining object types for data objects. A mapping between the data objects and processing partitions may be determined using the object types. A processing partition may be associated with a processing application that processes data objects of a given object type. A hardware host in a distributed computing system may identify an application library having a plurality of processing applications that process a plurality of data objects associated with a plurality of object types. The hardware host may use the processing partition assigned to the hardware host to identify the processing application for the object type associated with the processing partition from the application library. The hardware host may launch an instance of the processing application to enable the hardware host to process the plurality of data objects.

Abstract: Technology is described for using spatial analysis of data objects associated with a multi-dimensional virtual environment to organize computational units in a distributed computing system. The data objects may be grouped together using spatial location information and collections of data objects may be treated as processing partitions (i.e., sub-divisions of the entire group of data objects). A mapping may be created between the data objects and processing partitions for processing applications which process data objects assigned to a processing partition. The processing partitions may be defined, in part, according to how the data objects are grouped together spatially. The processing partitions may be load-balanced across hardware hosts in the distributed computing system.