The ever-continuing explosive growth of on-demand content requests has imposed great pressure on mobile/wireless network infrastructures. To ease congestion in the network and increase perceived user experience, caching popular content closer to the end-users can play a significant role and as such this issue received significant attention over the last few years. Additionally, energy efficiency is treated as a fundamental requirement in the design of next-generation mobile networks. However, there has been little attention to the overlapping area between energy efficiency and network caching especially when considering multipath routing. To this end, this paper proposes an energy-efficient caching with multipath routing support. The proposed scheme provides a joint anchoring of popular content into a set of potential caching nodes with optimized multi-path support whilst ensuring a balance between transmission and caching energy cost. The proposed model also considers different content delivery modes, such as multicast and unicast. Two separated Integer-Linear Programming (ILP) models are formulated for each delivery mode. To tackle the curse of dimensionality we then provide a greedy simulated annealing algorithm, which not only reduces the time complexity but also provides a competitive performance as ILP models. A wide set of numerical investigations has shown that the proposed scheme is more energy-efficient compared with other widely used approaches in caching under the premise of network resource limitation.
翻译:需求内容请求的连续爆炸性增长对移动/无线网络基础设施造成了巨大压力。为了缓解网络拥堵,增加用户的感知经验,在过去几年里将大众内容紧贴最终用户,可以发挥重要作用,因此这个问题在过去几年中受到极大关注。此外,能源效率被视为设计下一代移动网络的基本要求。然而,对于能源效率和网络缓冲之间的重叠领域,特别是在考虑多路线路时,很少注意。为此,本文件提议以多路线路支持的方式,以节能缓冲的方式缓冲。拟议办法将大众内容联合固定在一套潜在的缓冲节点,以优化多路支持,同时确保传输和缓冲能源成本之间的平衡。拟议模式还考虑到不同的内容交付模式,如多播和单播。为每一种交付模式制定了两种分离的Integer-Linear规划模式。为了消除这种程度的诅咒,我们随后提供了一种贪婪的模拟一条多路路路路路路路。拟议办法将大众内容联合固定在一套潜在的潜在缓冲节点中,同时确保传播和缓冲能源成本之间的平衡。拟议的模式不仅能够广泛减少使用,而且根据A系统进行更具有竞争性的业绩。在A项上也展示了较有竞争力的方法。