Location-Recommendation-Aware Virtual Network Embedding in Energy-Efficient Optical-Wireless Hybrid Networks Supporting 5G Models

Abstract

Given the possibility of ubiquitous 5G wireless access, location data bridge the gap between the physical world and digital online social networking services and also reflect user preferences and even interdependency among users. Owing to this interdependency, the advertiser can push corresponding products to users according to location recommendations, i.e., advertisement targeting. To achieve this mobile cloud computing service, after moving the computing capacity away from end devices to Data Centres (DCs), the converged infrastructure integrating optical metro and ubiquitous wireless access technologies is proposed in accordance with the 5G model. To minimize energy consumption, we propose a novel design framework of locationrecommendation-aware virtual network embedding. This design framework determines the interdependency among user groups so that we can embed the virtual networks owned by user groups with a high interdependency into the same DC of the substrate optical-wireless hybrid infrastructure. Thus, the adviser can locally push the corresponding products to user groups at a single DC instead of consuming a large amount of energy to build inter-DC paths. The simulation results show that our design framework has greater energy efficiency and more profitable advertisement targeting compared to the benchmark, and the result of our heuristic is very close to the upper bound.Index Terms-5G-based location recommendations, energy efficiency, optical-wireless integration, virtual network embedding, problem transformation, bound analysis.

A Survey on the Current Challenges of Energy-Efficient Cloud Resources Management

“…Indeed, it is worthwhile to have a 5G wireless network seamlessly integrated with the optical DC infrastructure to meet the requirement to interconnect users with DCs. Instead of consuming a large amount of energy to build inter-DC paths, this author [54] presents a novel design framework of location recommendation-aware virtual network embedding to minimize energy consumption. This design consists of embedding virtual networks owned by combined users group with high interdependency in terms of location and recommendation: point of interest into the same DC and this through an optical wireless hybrid networks supporting 5G models.…”