1997
DOI: 10.1109/49.564136
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ARIES: a rearrangeable inexpensive edge-based on-line Steiner algorithm

Abstract: In this paper, we propose and evaluate ARIES, a heuristic for updating multicast trees dynamically in large pointto-point networks. The algorithm is based on monitoring the accumulated damage to the multicast tree within local regions of the tree as nodes are added and deleted, and triggering a rearrangement when the number of changes within a connected subtree crosses a set threshold. We derive an analytical upper-bound on the competitiveness of the algorithm. We also present simulation results to compare the… Show more

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Cited by 70 publications
(38 citation statements)
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“…This is not desirable especially for applications which require the trees to be ready within a short time period. Also, effective algorithms for dynamic membership multicast [3] proposed in [4], [5] will not work well and may incur race condition if the rearranged tree is not ready before the arrival of next member's addition or removal event.…”
Section: Introductionmentioning
confidence: 99%
“…This is not desirable especially for applications which require the trees to be ready within a short time period. Also, effective algorithms for dynamic membership multicast [3] proposed in [4], [5] will not work well and may incur race condition if the rearranged tree is not ready before the arrival of next member's addition or removal event.…”
Section: Introductionmentioning
confidence: 99%
“…Imase and Waxman have shown that no such finite bound exists if delete requests are also honoured [13]. This was the motivation for developing heuristic ARIES (A Rearrangable Inexpensive Edge-based Steiner algorithm) [4].…”
Section: Aries Algorithmmentioning
confidence: 99%
“…In addition to the Greedy Algorithm (GA) that was originally proposed as a centralized algorithm [33], two distributed algorithms are described: the Predetermined Path Search Algorithm (PPS) [1] and the ARIES (A Rearrangeable Inexpensive Edge-based On-line Steiner Algorithm) [4]. Several other algorithms exist, like Edge-Bounded Algorithm (EBA) [13] and Geographic-Spread Dynamic Multicast Algorithm (GSDM) [16], but only centralized versions of these algorithms are known to us.…”
Section: Solving the Dynamic Mr Problemmentioning
confidence: 99%
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“…For each pair of nodes u and v, a random number r u,v is generated, 0 ≤ r u,v < 1. Whether or not u and v are connected is determined by r u,v and the edge probability [19,20] …”
Section: Simulation Environmentmentioning
confidence: 99%