Realizing self-management via self-optimization in dynamic networks: Two examples of dynamic resource allocation

Abstract

It is a shared belief that self-management is the right framework to address all these network operation issues. More precisely, the focus of this paper is on self-optimization, which is one of the four facets of self-x systems [15].Within the networking context, optimization problems share the objective of efficiency versus both dynamicity and scalability. Self-optimization algorithms appear to be an innovative solution for addressing and solving such concerns. Furthermore, self-optimization pleads for embedding algorithms, which push decisions as close as possible to the acting element. The closeness limit is often derived from the information required for decision making.This paper deals with the design of self-optimization modules and illustrates the advantages of this kind of

A site selection method of DNS using the particle swarm optimization algorithm

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The effects of knowledge management and self-organization on organizational creativity: The mediating roles of corporate innovativeness and organizational communication

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