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Abstract

A distributed server for real-time collaboration is substituted for a centralized server to address the problem of the development of unacceptable communication and computation bottlenecks resulting from the use of a one-software-process-based centralized server running somewhere on the available network. The substitute distributed server improves scaleability of real-time collaboration by being based on multiple, independently-communicating, asynchronous, independent (i.e., no shared memory, data, variables, etc.) software processes. The processes can be distributed to multiple machines throughout the network and run simultaneously in order to avoid the centralized server's bottlenecks. To be used, a distributed server requires a disjoint, fully covering partitioning of a work space, wherein it can handle partition hierarchies and groups comprehensively. The distributed server solution is general because of the ability of distributed servers to work with different definitions of a modification. The distributed server solution is extensible because of its simple and comprehensive treatment of inter-partition synchronization.

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