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Online Multi-Commodity Flow with High Demands

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Approximation and Online Algorithms (WAOA 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7846))

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Abstract

This paper deals with the problem of computing, in an online fashion, a maximum benefit multi-commodity flow (onmcf), where the flow demands may be bigger than the edge capacities of the network.

We present an online, deterministic, centralized, all-or-nothing, bi-criteria algorithm. The competitive ratio of the algorithm is constant, and the algorithm augments the capacities by at most a logarithmic factor.

The algorithm can handle two types of flow requests: (i) low demand requests that must be routed along a path, and (ii) high demand requests that may be routed using a multi-path flow.

Two extensions are discussed: requests with known durations and machine scheduling.

The full version of this paper can be found in http://arxiv.org/abs/1201.5030 .

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Even, G., Medina, M. (2013). Online Multi-Commodity Flow with High Demands. In: Erlebach, T., Persiano, G. (eds) Approximation and Online Algorithms. WAOA 2012. Lecture Notes in Computer Science, vol 7846. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38016-7_3

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  • DOI: https://doi.org/10.1007/978-3-642-38016-7_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38015-0

  • Online ISBN: 978-3-642-38016-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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