论文标题
NV-FogStore：雾计算环境中的设备感知的混合式缓存
NV-Fogstore : Device-aware hybrid caching in fog computing environments
论文作者
论文摘要
通过放置整个网络中分布式存储的边缘缓存是降低内容交付的延迟和网络成本的有前途解决方案。随着即将到来的5G未来的出现，数十亿F-RAN（FOG-RADIO访问网络）节点将创建并用于用于边缘缓存的目的。因此，在边缘部署的内存总量预计将增加100倍。 目前，在CDN（内容输送网络）中使用的基于DRAM的缓存非常强大且昂贵。我们的目的是在维持服务质量的同时，减少F-RAN节点中的所有权成本和经常性成本（功耗）。 出于我们的目的，我们提出了NV-FogStore，这是一种可扩展的混合键值存储架构，用于利用边缘缓存中非易失性记忆（例如RRAM，MRAM，Intel Optane）。 我们进一步详细描述了一种小说，分层，写入损伤，大小和频率意识到的内容缓存策略h-greedy h-greedy for我们的体系结构。 我们表明，可以根据绩效目标对我们的政策进行调整，以降低唯一基于DRAM的系统的功率，能耗和总成本，仅在平均访问潜伏期中相对较小的权衡。
Edge caching via the placement of distributed storages throughout the network is a promising solution to reduce latency and network costs of content delivery. With the advent of the upcoming 5G future, billions of F-RAN (Fog-Radio Access Network) nodes will created and used for for the purpose of Edge Caching. Hence, the total amount of memory deployed at the edge is expected to increase 100 times. Currently, used DRAM-based caches in CDN (Content Delivery Networks) are extremely power-hungry and costly. Our purpose is to reduce the cost of ownership and recurring costs (of power consumption) in an F-RAN node while maintaining Quality of Service. For our purpose, we propose NV-FogStore, a scalable hybrid key-value storage architecture for the utilization of Non-Volatile Memories (such as RRAM, MRAM, Intel Optane) in Edge Cache. We further describe in detail a novel, hierarchical, write-damage, size and frequency aware content caching policy H-GREEDY for our architecture. We show that our policy can be tuned as per performance objectives, to lower the power, energy consumption and total cost over an only DRAM-based system for only a relatively smaller trade-off in the average access latency.
