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Titlebook: Distributed Computing; 15th International C Jennifer Welch Conference proceedings 2001 Springer-Verlag Berlin Heidelberg 2001 Complexity.Co

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樓主: Holter-monitor
41#
發(fā)表于 2025-3-28 14:41:02 | 只看該作者
https://doi.org/10.1007/978-3-319-99531-1, or distributed object platforms are examples of complex systems built around atomic commitment. The vast majority of such products implement atomic commitment using some variation of 2 Phase Commit (2PC) although 2PC may block under certain conditions. The alternative would be to use non-blocking
42#
發(fā)表于 2025-3-28 18:51:02 | 只看該作者
43#
發(fā)表于 2025-3-29 01:10:23 | 只看該作者
44#
發(fā)表于 2025-3-29 05:18:38 | 只看該作者
https://doi.org/10.1007/978-94-007-7180-2roof involves constructing the set of reachable states, proving that these states are highly connected, and then appealing to a well-known topological result that high connectivity implies that set agreement is impossible. We construct the set of reachable states in an iterative fashion using a roun
45#
發(fā)表于 2025-3-29 09:57:17 | 只看該作者
https://doi.org/10.1007/978-94-007-7180-2veloped for this problem and several algorithm simulations have been developed by iterating . algorithms. The efficiency of the solutions for Do-All is measured in terms of work complexity where all processing steps taken by the processors are counted. We present the first non-trivial lower bounds f
46#
發(fā)表于 2025-3-29 15:27:28 | 只看該作者
47#
發(fā)表于 2025-3-29 15:50:20 | 只看該作者
The Essential Financial Toolkito-called . randomised mutual search algorithms we derive a lower bound of . (. + 1) expected calls in the worst case. A randomised algorithm in the shared-coins model matching this bound is also presented. Finally we show that in general more adaptive randomised mutual algorithms perform better than
48#
發(fā)表于 2025-3-29 21:12:16 | 只看該作者
The Essential Financial Toolkitng those that communicate via registers (either composite or read/write atomic) and those that employ message-passing. In contrast, much less has been done for the corresponding minimum spanning tree problem. The one published self-stabilizing distributed algorithm for the minimum spanning problem t
49#
發(fā)表于 2025-3-30 01:30:20 | 只看該作者
50#
發(fā)表于 2025-3-30 05:10:47 | 只看該作者
Drawing with Flash’s Vector Toolsentralized daemon. Its space complexity is optimal to within a small additive constant number of bits per processor, significantly improving previous self-stabilizing algorithms for this problem. In other models or when the ring size is composite, no deterministic solutions exist, because it is impo
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