Abstract
This paper examines some general aspects of partitioning software architecture and the structuring of complex computing systems. It relates these topics in terms of the continued development of a generalized processing model for spatial-temporal processing. Data partitioning across several copies of a generic processing stack is used to implement horizontal scaling by reducing search space and enabling parallel processing. Temporal partitioning is used to provide fast response to certain types of queries and in quickly establishing initial context when using the system.
Manuscript received October 10, 2009.
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Lori, J. (2010). Structure, Context and Replication in a Spatial-Temporal Architecture. In: Sobh, T., Elleithy, K. (eds) Innovations in Computing Sciences and Software Engineering. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9112-3_21
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DOI: https://doi.org/10.1007/978-90-481-9112-3_21
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