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G-Phenomena as a Base of Scalable Distributed Computing — G-Phenomena in Moore’s Law

Faster and cheaper – those two words have driven the computer industry for five decades, and the rest of the economy has been along for the ride. Computer scientists and their collaborators have been forced to discard certain mental barriers and open their minds to radical change. A network is a generic topology of the basis of biological evolutionary development and technical functional processes. With the evolution of the motion of matter the process of shaping the network structure was initiated, because only thus is it possible to maintain and develop any distributed intelligent system. Generic certification of that obtained from the evolution of biological systems which based on set of networks (bloodstream networks, neural networks ....). The theory of signals, communications and computing was founded on the special motion of matter (charge carriers-electrons) extensively througth the networks. Therefore, communication dynamic compatibilization of networks speed with processes speed (G-phenomena) is the basis for distributed systems. This paper presents and defines the G-phenomena as a Millennium cornerstone of the rapid development of distributed systems on a scalability platform within the Grid and Cloud computing paradigm, offering a distributed platform management architecture designed for scalability, availability, usability, and high performance.

G-phenomena ; Moore’s Law ; distributed computing ; grid ; cloud ; scalability ; network computing

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