Receiver availability-based technique for highly efficient message prioritization and scheduling in WDM star networks

P. A. Tsimoulas, G. Papadimitriou, A. Pomportsis
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引用次数: 2

Abstract

The performance of most scheduling schemes, including the well-known efficient EATS and MSL schemes, is noticeably degraded in practical WDM star networks with non-uniform destinations and non-negligible transceiver tuning latencies. Under these realistic conditions, it is common that two or more messages with the same destination have to be scheduled consecutively or at close times. In most cases, this brings about some performance penalty, owing to the delayed availability of the destination’s receiver for the second (and above) of the consecutive messages. The novel high performance Efficient Message Prioritization and Scheduling (EMPS) protocol is introduced to deal with this problem. EMPS simultaneously considers multiple messages from different transmitting nodes and gives priority to messages intended for the soonest available receivers each time. By balancing the offered load like this, EMPS minimizes the probability of having to schedule two or more messages with the same destination consecutively or at close times. Additionally, by incorporating the Minimum Scheduling Latency algorithm for channel selection, it also minimizes the actual performance penalty, when scheduling of consecutive messages with the same destination cannot be avoided. Extensive simulations are carried out in order to compare EMPS to other efficient schemes under varying conditions. The results show that it always brings about significant performance improvement.
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WDM星型网络中基于接收机可用性的高效消息优先级和调度技术
大多数调度方案,包括众所周知的高效的EATS和MSL方案,在实际的WDM星形网络中具有不均匀的目的地和不可忽略的收发器调优延迟,其性能明显下降。在这些现实条件下,通常必须连续或在接近的时间调度具有相同目的地的两个或多个消息。在大多数情况下,这会带来一些性能损失,因为目标接收器对于第二个(及以上)连续消息的可用性延迟。为了解决这一问题,提出了一种新的高性能高效消息优先级和调度(EMPS)协议。EMPS同时考虑来自不同传输节点的多条消息,并每次优先考虑发送给最快可用接收方的消息。通过这样平衡所提供的负载,EMPS将不得不连续或在接近时间调度具有相同目的地的两条或多条消息的可能性降到最低。此外,通过结合用于通道选择的最小调度延迟算法,当无法避免调度具有相同目的地的连续消息时,它还可以最大限度地减少实际性能损失。为了将EMPS与其他有效方案在不同条件下进行比较,进行了大量的仿真。结果表明,该方法总能带来显著的性能提升。
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