| On space-stretch trade-offs: lower bounds |
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ACM Symposium on Parallel Algorithms and Architectures
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Proceedings of the eighteenth annual ACM symposium on Parallelism in algorithms and architectures
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Cambridge, Massachusetts, USA
SESSION: Graphs and networks
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Pages: 207 - 216
Year of Publication: 2006
ISBN:1-59593-452-9
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Authors
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Ittai Abraham
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Hebrew University of Jerusalem, Jerusalem, Israel
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Cyril Gavoille
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University of Bordeaux, Bordeaux, France
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Dahlia Malkhi
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Hebrew University of Jerusalem and Microsoft Research, Silicon Valley Center
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Downloads (6 Weeks): 2, Downloads (12 Months): 24, Citation Count: 6
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ABSTRACT
One of the fundamental trade-offs in compact routing schemes is between the space used to store the routing table on each node and the stretch factor of the routing scheme -- the ratio between the cost of the route induced by the scheme and the cost of a minimum cost path between the same pair. Using a distributed Kolmogorov Complexity argument, we give a lower bound for the name-independent model that applies even to single-source schemes and does not require a girth conjecture. For any integer k ≥ 1 we prove that any routing scheme for networks with arbitrary weights and arbitrary node names (even a single-source routing scheme) with maximum stretch strictly less than 2k + 1 requires Ω((n log n)1/k)-bit routing tables. We extend our results to lower bound the average-stretch, showing that for any integer k ≥ 1 any name-independent routing scheme with (n/(9k))1/k-bit routing tables has average-stretch of at least k/4 + 7/8. This result is in sharp contrast to recent results on the average-stretch of labeled routing schemes.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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CITED BY 6
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Goran Konjevod , Andrea Werneck Richa , Donglin Xia , Hai Yu, Compact routing with slack in low doubling dimension, Proceedings of the twenty-sixth annual ACM symposium on Principles of distributed computing, August 12-15, 2007, Portland, Oregon, USA
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