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T-Mobile reports good progress in restoring network service to areas in the path of devastation from Hurricane Sandy.
In this paper, we investigate the problem of restoring network connectivity when a single node fails.
Though HCR is designed for restoring network connectivity after a single-node failure, that means it can only deal with a single-node failure at a time and handle the sequential node failures.
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Since Sept. 11, the company has been involved in restoring networks and data centers of clients who were tenants of the World Trade Center.
For this purpose, we proposed a novel data assimilation algorithm utilizing a simple nonlinear model, termed the combinatorial transcription model [ 5, 30], and a state space representation [ 31, 32], to infer GRNs by restoring networks that is inferred by some GRNs inference methods or derived from the literature.
HCR restores network connectivity after a single-node failure.
Therefore, it is important to detect node failures and restore network connectivity as early as possible.
It is assumed that actors are movable, it is possible to restore network connectivity by relocating actors.
As a result, it is very challenging to restore network connectivity in a distributed, localized, and efficient manner.
This is because when R c is determined, the growing of DN will increase the choices, and moving a shorter distance is enough to restore network connectivity.
HCR opts to efficiently restore network connectivity through selecting the most proper backup node and moving it to the best position instead of the failed node's position.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com