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Precomputation for multiconstrained QoS routing in high-speed networks

机译:高速网络中多元QoS路由的预调制

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As one of the most challenging problems of the next-generation high-speed networks, quality-of- service routing (QoSR) with multiple (k) constraints is an NP-complete problem. In this paper, we propose a multiconstrained energy function-based precomputation algorithm, MEFPA. It cares each QoS weight to b degrees, and computes a number (B= C/sub b+k-2//sup k-1/) of coefficient vectors uniformly distributed in the k-dimensional QoS metric space to construct B linear energy functions. Using each LEF, it then converts k QoS constraints to a single energy value. At last, it uses Dijkstra's algorithm to create B least energy trees, based on which the QoS routing table is created. We first analyze the performance of energy functions with k constraints, and give the method to determine the feasible and unfeasible areas for QoS requests in the k-dimensional QoS metric space. We then introduce our MEFPA for k-constrained routing with the computation complexity of O(B(m+n+nlogn)). Extensive simulations show that, with few coefficient vectors, this algorithm performs well in both absolute performance and competitive performance. In conclusion, for its high scalability, high performance and simplicity, MEFPA is a promising QoSR algorithm in the next-generation high-speed networks.
机译:作为下一代高速网络的最具挑战性问题之一,具有多个(k)约束的服务质量路由(QOSR)是NP完整问题。在本文中,我们提出了一种基于多组能的能量函数的预测算法MEFPA。它将每个QoS重量的QoS重量为B度,并计算在K维QoS公制空间中均匀地分布在K维QoS公制空间中的系数矢量的数字(B = C / SUB B + K-2 / SUP K-1 /)以构建B线性能量职能。使用每个lef,然后将k QoS约束转换为单个能量值。最后,它使用Dijkstra的算法来创建BOS最小能量树,基于创建QoS路由表。我们首先使用K约束分析能量函数的性能,并为Q型QoS度量空间中确定QoS请求的可行性和不可行区域的方法。然后,我们将MEFPA介绍了k约束路由的计算复杂度(b(m + n + nlogn))。广泛的模拟表明,由于少数系数向量,这种算法在绝对性能和竞争性能方面都很顺利。总之,由于其高可扩展性,高性能和简单性,MEFPA是下一代高速网络中的有前途的QoSR算法。

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