On the Robustness of Distributed Computing Networks

Jianan Zhang; Hyang-Won Lee; Eytan Modiano

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arXiv · 1901.02636

On the Robustness of Distributed Computing Networks

Jianan Zhang·Hyang-Won Lee·Eytan Modiano

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Abstract

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.

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BibTeX RIS

Jianan Zhang, Hyang-Won Lee, Eytan Modiano. 2019-01-09. On the Robustness of Distributed Computing Networks. https://arxiv.org/abs/1901.02636

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