Abstract
As communication networks grow, existing fault handling tools that involve global measures such as global time-outs or reset procedures become increasingly unaffordable, since their cost grows with the size of the network. Rather, for a fault handling mechanism to scale to large networks, its cost must depend only on the number of failed nodes (which, thanks to today's technology, grows much more slowly than the networks). Moreover, it should allow the nonfaulty regions of the networks to continue their operation even during the recovery of the faulty parts. This paper introduces the concepts fault locality and fault-locally mendable problems, which are problems for which there are correction algorithms (applied after faults) whose cost depends only on the (unknown) number of faults. We show that any input-output problem is fault-locally mendable. The solution involves a novel technique combining data structures and "local votes" among nodes, which may be of interest in itself.
Original language | English |
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Pages (from-to) | 144-165 |
Number of pages | 22 |
Journal | Journal of Algorithms |
Volume | 30 |
Issue number | 1 |
DOIs | |
State | Published - Jan 1999 |
Externally published | Yes |
Bibliographical note
Funding Information:As communication networks grow, existing fault handling tools that involve global measures such as global time-outs or reset procedures become increasingly unaffordable, since their cost grows with the size of the network. Rather, for a fault handling mechanism to scale to large networks, its cost must depend only on the number of failed nodes (which, thanks to today's technology, grows much more slowly than the networks). Moreover, it should allow the nonfaulty regions of the networks to continue their operation even during the recovery of the faulty parts. This paper introduces the concepts fault locality and fault-locally mendable problems, which are problems for which there are correction algorithms (applied after faults) whose cost depends only on the (unknown) number of faults. We show that any input-output problem is fault-locally mendable. The solution involves a novel technique combining data structures and ``local votes'' among nodes, which may be of interest in itself. Q 1999 Academic Press * Alexander Goldberg lecturer. ² Supported in part by a Walter and Elise Haas Career Development Award and by a grant from the Israel Science Foundation. Part of the work was done while visiting the IBM T. J. Watson Research Center.
Funding
As communication networks grow, existing fault handling tools that involve global measures such as global time-outs or reset procedures become increasingly unaffordable, since their cost grows with the size of the network. Rather, for a fault handling mechanism to scale to large networks, its cost must depend only on the number of failed nodes (which, thanks to today's technology, grows much more slowly than the networks). Moreover, it should allow the nonfaulty regions of the networks to continue their operation even during the recovery of the faulty parts. This paper introduces the concepts fault locality and fault-locally mendable problems, which are problems for which there are correction algorithms (applied after faults) whose cost depends only on the (unknown) number of faults. We show that any input-output problem is fault-locally mendable. The solution involves a novel technique combining data structures and ``local votes'' among nodes, which may be of interest in itself. Q 1999 Academic Press * Alexander Goldberg lecturer. ² Supported in part by a Walter and Elise Haas Career Development Award and by a grant from the Israel Science Foundation. Part of the work was done while visiting the IBM T. J. Watson Research Center.
Funders | Funder number |
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Israel Science Foundation |