Distributed Energy Consumption Management in Green Content-Centric Networks via Dual Decomposition

Abstract

Due to the in-network caching capability, contentcentric networking (CCN) has emerged as one of the most promising architectures for the diffusion of contents over the Internet. Most existing works on CCN focus on network resource utilization, and the energy efficiency aspect is largely ignored. In this paper, we study the tradeoff between energy consumption and quality of service in CCN by switching off the redundant network content routers and links. We formulate the energy consumption management problem as a mixed integer linear programming (MILP) model and propose a centralized solution via spanning tree heuristic. Then, a fully distributed energy optimization algorithm is proposed via dual decomposition (DD) to solve the MILP problem for green CCN. The DD method transforms the centralized energy consumption control problem into the router status, link status, and link flow subproblems. Through turning off the redundant network devices, the total energy consumption of the network can be minimized. Simulation results reveal that the proposed scheme exhibits a fast convergence speed and achieves superior energy efficiency compared with other widely used schemes in CCN.Index Terms-Content-centric networking (CCN), dual decomposition (DD) , energy efficiency , in-network caching , spanning tree heuristic .

Distributed Optimization for Railway Track Maintenance Operations Planning

“…The resulting decision variables can also be used to warm start the next MILP optimization. Moreover, different modification to dual decomposition by adding quadratic terms of the respective decision variables to regularize the objective function is applied in [34,25]. This leads to the concepts of augmented Lagrangian and ADMM.…”

A Review on Green Caching Strategies for Next Generation Communication Networks

“…subject to user demand [24], [44], [147], [148]. In [149], the authors switched off some of the content routers and connected links of a CCN. This study reduced the energy cost while guaranteeing QoS requirements.…”

“…The mobile helpers served requests of the nearby users subject to battery status and achieved substantial reduction in energy consumption. A joint optimization technique [218] com- [44], [147], [149], [207] Energy-optimal and cooperative activation of the caching nodes.…”

“…CCN [149], HetNet [44], [147], UDN [207] Solved optimization problems using heuristic approach [149], quantum-inspired evolutionary (QEA) algorithm [44], MDP and value iteration [147], and iterative method and KKT conditions [207], respectively. [148] Energy-efficient switching of the CCN nodes and links.…”

“…Mobility issues and the ever-increasing number of smart vehicles worsen the situation. To overcome Energy consumption [13], [26], [47], [49]- [51], [118]- [120], [126], [127], [130], [132], [134], [136], [143]- [145], [147], [149]- [158], [160], [161], [173], [175], [176], [180], [181], [189], [197]- [200], [207], [211], [218].…”