DOTNET PROJECT
Dynamic
Cloud Network Control Under Reconfiguration Delay and Cost
Abstract:
Network
virtualization and programmability allow operators to deploy a wide range of
services over a common physical infrastructure and elastically allocate cloud
and network resources according to changing requirements. While the elastic
reconfiguration of virtual resources enables dynamically scaling capacity in
order to support service demands with minimal operational cost, reconfiguration
operations make resources unavailable during a given time period and may incur
additional cost. In this paper, we address the dynamic cloud network control
problem under non-negligible reconfiguration delay and cost. We show that while
the capacity region remains unchanged regardless of the reconfiguration
delay/cost values, a reconfiguration-agnostic policy may fail to guarantee
throughput-optimality and minimum cost under nonzero reconfiguration
delay/cost. We then present an adaptive dynamic cloud network control policy
that allows network nodes to make local flow scheduling and resource allocation
decisions while controlling the frequency of reconfiguration in order to
support any input rate in the capacity region and achieve arbitrarily close to
minimum cost for any finite reconfiguration delay/cost values.
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