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Therefore, content placement scheme and dynamic request routing are tightly coupled and should be addressed together.
The researchers propose simple adaptive strategies that outperform any content placement strategy based on the "learn-and-optimize" approach.
We solve the content placement subproblem with a greedy placement algorithm by utilizing the matroid and submodular properties.
Based on this framework, we decompose the caching problem into a content placement subproblem and a request routing subproblem.
With the rapid growth of network traffic, it is significant challenging to decide content placement in such limited cache space.
The study's key result is that in contrast to the classical settings, a "learn-and-optimize" approach separating the estimation of demands and subsequently using the estimations to design optimal content placement policies is strictly suboptimal.
In this paper, we propose a coordinated in-network caching model to decide the optimal content placement and the shortest request routing path under constraints of cache space and link bandwidth in a systematic fashion.
Several cache characteristics were further presented in ways that would improve cache techniques, deployments as research suggestions for content placement, replacement and quick scan on nodes on and off-path of the network.
Motivated by the potential benefits of caching in mobile backhaul networks, in this paper we formulate the problem of content placement in a hierarchical cache network as a binary integer programming problem.
7. Be consistent about content placement.
This was implemented as a greedy algorithm which attempts only a single choice for content placement.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com