In systems using shortest-path routing tables, a single link failure is enough to interrupt the message transmission by disconnecting one or more shortest path spanning trees. The on-line recomputation of an alternative path or of the entire new shortest path trees, rebuilding the routing tables accordingly, is rather expensive and causes long delays in the message’s transmission [5, 10]. Hopefully, some of these costs will be reduced if the serial algorithms for dynamic graphs (e.g., those of [1]) could be somehow employed; to date, the difficulties of finding an efficient distributed implementation have not been overcome (e.g., see [9]). An alternative approach is to precompute additional information and use it to augment the shortest-path routing tables so to make them operate when a failure occurs. Examples of this approach are techniques (e.g., see [4]) of precomputing several edge-disjoint spanning trees for each destination. However, the alternative routes do not satisfy any optimization criterion (such as shortest path) even in the case when, at any time, only one link (not necessarily the same at all times) might be down.

Computing All the Best Swap Edges Distributively

PAGLI, LINDA;PRENCIPE, GIUSEPPE;
2004

Abstract

In systems using shortest-path routing tables, a single link failure is enough to interrupt the message transmission by disconnecting one or more shortest path spanning trees. The on-line recomputation of an alternative path or of the entire new shortest path trees, rebuilding the routing tables accordingly, is rather expensive and causes long delays in the message’s transmission [5, 10]. Hopefully, some of these costs will be reduced if the serial algorithms for dynamic graphs (e.g., those of [1]) could be somehow employed; to date, the difficulties of finding an efficient distributed implementation have not been overcome (e.g., see [9]). An alternative approach is to precompute additional information and use it to augment the shortest-path routing tables so to make them operate when a failure occurs. Examples of this approach are techniques (e.g., see [4]) of precomputing several edge-disjoint spanning trees for each destination. However, the alternative routes do not satisfy any optimization criterion (such as shortest path) even in the case when, at any time, only one link (not necessarily the same at all times) might be down.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/188960
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