Using SSD as a Foundation for New Generations of Flash Databases - Nati Shalom

“You just can't have it all” is a phrase that most of us are accustomed to hearing and that many still believe to be true when discussing the speed, scale and cost of processing data. To reach high speed data processing, it is necessary to utilize more memory resources which increases cost. This occurs because price increases as memory, on average, tends to be more expensive than commodity disk drive. The idea of data systems being unable to reliably provide you with both memory and fast access—not to mention at the right cost—has long been debated, though the idea of such limitations was cemented by computer scientist, Eric Brewer, who introduced us to the CAP theorem.

The CAP Theorem and Limitations for Distributed Computer Systems

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Space Based Programming in .NET

Space-based architectures are an alternative to the traditional n-tier model for enterprise applications. Instead of a vertical tier partitioning, space based applications are partitioned horizontally into self-sufficient units. This leads to almost linear scalability of stateful, high-performance applications.

This is a recording of a talk I did last month where I introduce space based programming and demonstrate how that works in practice on the .NET platform using Oracle Coherence and GigaSpaces.