Abstract:In this paper, a new dynamic data allocation algorithm for non-replicated distributed database systems (DDS), namely the threshold algorithm, is proposed. The threshold algorithm reallocates data with respect to changing data access patterns. The algorithm is analyzed for a fragment using simulation. The threshold algorithm i s especially suitable for a DDS where data access pattern changes dynamically.

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Temperature control systems based on solar and wind energy differ in two important ways from existing fossil fuel systems. One is that solar systems, at least active solar systems, all have some kind of energy storage, the other is that the source of energy in a solar and wind energy system is variable and uncontrollable. Because of these added complications and the high capital investment required for solar and wind energy systems, considerably more sophisticated techniques are required for the design of those systems. In this study, a new technique is applied to the optimal control problem of solar heating systems.

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