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 .
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Awerbuch, B., Azar, Y., Plotkin, S.: Throughput-competitive on-line routing. In: FOCS 1993: Proceedings of the 1993 IEEE 34th Annual Foundations of Computer Science, pp. 32–40. IEEE Computer Society, Washington (1993)
Buchbinder, N., Naor, J.S.: Improved bounds for online routing and packing via a primal-dual approach. In: Annual IEEE Symposium on Foundations of Computer Science, pp. 293–304 (2006)
Even, G., Medina, M., Schaffrath, G., Schmid, S.: Competitive and deterministic embeddings of virtual networks. In: Bononi, L., Datta, A.K., Devismes, S., Misra, A. (eds.) ICDCN 2012. LNCS, vol. 7129, pp. 106–121. Springer, Heidelberg (2012); CoRR abs/1101.5221 (January 2011)
Aspnes, J., Azar, Y., Fiat, A., Plotkin, S., Waarts, O.: On-line routing of virtual circuits with applications to load balancing and machine scheduling. Journal of the ACM (JACM) 44(3), 486–504 (1997)
Awerbuch, B., Azar, Y., Plotkin, S., Waarts, O.: Competitive routing of virtual circuits with unknown duration. Journal of Computer and System Sciences 62(3), 385–397 (2001)
Bansal, N., Lee, K.W., Nagarajan, V., Zafer, M.: Minimum congestion mapping in a cloud. In: PODC, pp. 267–276 (2011)
Buchbinder, N., Naor, J.S.: Online primal-dual algorithms for covering and packing. Math. Oper. Res. 34(2), 270–286 (2009)
Buchbinder, N., Naor, J.S.: The design of competitive online algorithms via a primal-dual approach. Foundations and Trends in Theoretical Computer Science 3(2-3), 99–263 (2009)
Kolliopoulos, S., Young, N.: Approximation algorithms for covering/packing integer programs. Journal of Computer and System Sciences 71(4), 495–505 (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
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)