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- W2011455020 abstract "In cloud computing, instead of building their own network and facilities, companies can allocate resources from network operators, thus reducing hardware investment and maintenance cost. The company's IT infrastructure can be designed as an abstract virtual graph of services to be mapped into the substrate network of the operator. In this paper, we refer to the virtual graph mapping problem as service composition. How to identify and locate the substrate components to map the virtual graph to in an optimal way is the subject of this paper. We propose three algorithms for three different graph topologies: path, star, and tree, whose complexity is O(V <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>3</sup> ) + O(E <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>R</sup> V <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sup> ) where V is the set of substrate network nodes and E <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>R</sup> is the set of virtual links. We also provide simulations to evaluate the performance of our algorithms." @default.
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- W2011455020 date "2012-04-01" @default.
- W2011455020 modified "2023-09-24" @default.
- W2011455020 title "Cost-effective complex service mapping in cloud infrastructures" @default.
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- W2011455020 doi "https://doi.org/10.1109/noms.2012.6211876" @default.
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