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Remain Resource Reallocation DRA Algorithm with Multiple QoS Parameters Constraint

机译:具有多个QoS参数约束的剩余资源重新分配DRA算法

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摘要

Broadband access network is being regarded as one of the best solutions for the next generation Internet. The Dynamic Resource Allocation (DRA) algorithms play an important role in efficiently allocating the resource in the network. Moreover, the Quality of Service (QoS) is also necessary to support multi services. However, many proposed DRA algorithms which support QoS are focus on cycle process and still unable to solve the problem of system load and packets delay which caused by resource reallocated. Therefore, this paper proposes a QoS Constraint Dynamic Resource Allocation algorithm (QCDRA). The QCDRA realizes the calculation of QoS constraint and resource reallocated value, and quantifies the size of resource allocation which satisfies the constraint conditions. We conduct detailed simulation experiments under the environment of various parameters and compared with other algorithms. Simulation results show that our proposed algorithm can reduce the system load and packets delay about 12% and 8% respectively, and improve the system throughput about 5%.
机译:宽带接入网被认为是下一代Internet的最佳解决方案之一。动态资源分配(DRA)算法在有效分配网络资源方面起着重要作用。此外,服务质量(QoS)对于支持多种服务也是必不可少的。然而,许多提出的支持QoS的DRA算法都集中在循环过程上,仍然不能解决资源重新分配导致的系统负载和数据包延迟的问题。因此,本文提出了一种QoS约束动态资源分配算法(QCDRA)。 QCDRA实现了QoS约束和资源重新分配值的计算,并量化了满足约束条件的资源分配的大小。我们在各种参数的环境下进行了详细的仿真实验,并与其他算法进行了比较。仿真结果表明,本文提出的算法可以分别将系统负载和数据包延迟分别降低约12%和8%,并将系统吞吐量提高约5%。

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