论文标题
分布式计算确切的平均程度和网络大小以有限的步骤数量计算
Distributed Computation of Exact Average Degree and Network Size in Finite Number of Steps under Quantized Communication
论文作者
论文摘要
我们考虑以量化通信的分布式方式计算给定网络的平均程度和大小的问题。我们提出了两种依赖量化操作的分布式算法(即节点过程和传输量化消息),并能够以有限数量的步骤计算精确的解决方案。此外,在我们的算法操作过程中,每个节点能够以分布式的方式确定是否已达到收敛,从而终止其操作。据作者所知,这些算法是第一个在量化通信下找到确切的解决方案的算法(即,在最终计算中没有错误)。此外,请注意,我们的网络大小计算算法是文献中的第一个,它以有限数量的步骤计算网络的确切大小而不引入最终错误。其他算法中的误差可能是由于量化或渐近收敛造成的。在我们的情况下,由于所需的结果是以涉及量化分子和量化分母的分数的形式计算的,因此没有引入错误。最后,我们证明了算法的运行及其潜在的优势。
We consider the problems of computing the average degree and the size of a given network in a distributed fashion under quantized communication. We present two distributed algorithms which rely on quantized operation (i.e., nodes process and transmit quantized messages), and are able to calculate the exact solutions in a finite number of steps. Furthermore, during the operation of our algorithms, each node is able to determine in a distributed manner whether convergence has been achieved and thus terminate its operation. To the best of the authors' knowledge these algorithms are the first to find the exact solutions under quantized communication (i.e., there is no error in the final calculation). Additionally, note that our network size calculation algorithm is the first in the literature which calculates the exact size of a network in a finite number of steps without introducing a final error. This error in other algorithms can be either due to quantization or asymptotic convergence. In our case, no error is introduced since the desired result is calculated in the form of a fraction involving a quantized numerator and a quantized denominator. Finally, we demonstrate the operation of our algorithms and their potential advantages.