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Books > Computing & IT > Computer communications & networking
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Heuristic Approaches for Telecommunications Network Management, Planning and Expansion - A Special Issue of the Journal of Heuristics (Hardcover, Reprinted from JOURNAL OF HEURISTICS, 6:1, 2000)
Loot Price: R2,540
Discovery Miles 25 400
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Heuristic Approaches for Telecommunications Network Management, Planning and Expansion - A Special Issue of the Journal of Heuristics (Hardcover, Reprinted from JOURNAL OF HEURISTICS, 6:1, 2000)
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The telecommunications industry is experiencing a worldwide
explosion of growth as few other industries ever have. However, as
recently as a decade ago, the bulk of telecommunications services
were delivered by the traditional telephone network, for which
design and analysis principles had been under steady development
for over three-quarters of a century. This environment was
characterized by moderate and steady growth, with an accompanying
slower development of new network equipment and standardization
processes. In such a near-static environment, attention was given
to optimization techniques to squeeze out better profits from
existing and limited future investments. To this end, forecasts of
network services were developed on a regular planning cycle and
networks were optimized accordingly, layer by layer, for
cost-effective placement of capacity and efficient utilization. In
particular, optimization was based on a fairly stable set of
assumptions about the network architecture, equipment models, and
forecast uncertainty. This special edition is devoted to heuristic
approaches for telecommunications network management, planning, and
expansion. We hope that this collection brings to the attention of
researchers and practitioners an array of techniques and case
studies that meet the stringent time to market' requirements of
this industry and which deserve exposure to a wider audience.
Telecommunications will face a tremendous challenge in the coming
years to be able to design, build, and manage networks in such a
rapidly evolving industry. Development and application of heuristic
methods will be fundamental in our ability to meet this challenge.
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