Rajive Joshi

In this paper we provide a comparative overview of the data distribution service with respect to high-level architecture. We describe the equivalent terminology and concepts, and highlight the key similarities and differences in the areas of declaration management, object management, data distribution management, ownership management, federation management, and time management.

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The growing popularity of cheap and widespread data collection “edge” devices and the easy access to communication networks (both wired and wireless) is weaving in more devices and systems into the fabric of our daily lives. As computation and storage costs continue to drop faster than network costs, the trend is to move data and computation locally, using data distribution technology to move data between the nodes as and when needed. As a result, the quantity of data, the scale of its distribution and the complexity integration is growing at a rapid pace.

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