Energy-Efficient Joint Pushing and Caching Based on Markov Decision Process

Volume: 3, Issue: 2, Pages: 433 - 445
Published: Jun 1, 2019
Abstract
Content caching provides a rare trade-off opportunity between low-cost memory and energy consumption, yet finding the optimal causal policy with low computational complexity remains a challenge. In this paper, we formulate the problem of joint pushing and caching at end users in a Markov decision process (MDP) framework with the aim of minimizing energy cost under causal knowledge of the user request delay information and strict delay...
Paper Details
Title
Energy-Efficient Joint Pushing and Caching Based on Markov Decision Process
Published Date
Jun 1, 2019
Volume
3
Issue
2
Pages
433 - 445
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