4 years ago

On the Robustness of Distributed Computing Networks.

Jianan Zhang, Hyang-won Lee, Eytan Modiano

Traffic flows in a distributed computing network require both transmission and processing, and can be interdicted by removing either communication or computation resources. We study the robustness of a distributed computing network under the failures of communication links and computation nodes. We define cut metrics that measure the connectivity, and show a non-zero gap between the maximum flow and the minimum cut. Moreover, we study a network flow interdiction problem that minimizes the maximum flow by removing communication and computation resources within a given budget. We develop mathematical programs to compute the optimal interdiction, and polynomial-time approximation algorithms that achieve near-optimal interdiction in simulation.

Publisher URL: http://arxiv.org/abs/1901.02636

DOI: arXiv:1901.02636v1

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