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fogcached: DRAM-NVM Hybrid Memory-Based KVS Server for Edge Computing

机译：FOGCACHED：用于边缘计算的基于DRAM-NVM混合存储器的KVS服务器

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With the widespread use of sensors in smart devices and robots, there is a growing expectation for edge computing that processes data not on distant cloud servers but also on or near interactive devices to store their data with low latency access. To satisfy these requirements, we consider a new edge computing system that consists of a hybrid main memory with a KVS (Key-Value-Store) server utilizing the DRAM and nonvolatile main memory (NVM). It provides large-capacity cache memory in a server, supporting high-speed processing and quick response for sensor nodes. However, since existing KVS servers are not designed for NVM, there are less satisfactory implementations that achieve low response time and high throughputs. We propose a novel hybrid KVS server that is designed and implemented on the Memcached distributed memory-caching system, which dynamically moves cached data between two types of memory devices according to access frequency in order to achieve a low latency compared to the existent approaches. We developed a Dual-LRU (Least Recently Used) structure for it. Evaluation was performed using a real machine equipped with NVM. The result showed the proposed method successfully reduced the response time and improves access throughputs.
机译：随着智能设备和机器人中的传感器广泛使用，对边缘计算的期望不断增长，这些预期处理不在遥控云服务器上或接近交互式设备上以存储其数据以低延迟访问。为了满足这些要求，我们考虑一个新的边缘计算系统，该系统由使用DRAM和非易失性主存储器（NVM）的KVS（key-Value-Store）服务器组成的混合主存储器。它在服务器中提供大容量高速缓冲存储器，支持传感器节点的高速处理和快速响应。但是，由于现有的KVS服务器不是为NVM设计的，因此存在较少的令人满意的实现，实现了低响应时间和高吞吐量。我们提出了一种新颖的混合kVS服务器，其在MEMCACHED分布式存储器缓存系统上设计和实现，其根据接入频率动态地在两种类型的存储器设备之间移动缓存数据，以便与存在的方法相比实现低延迟。我们开发了一种双LRU（最近最近使用的）结构。使用配备有NVM的真实机进行评估。结果表明，所提出的方法成功降低了响应时间并提高了访问吞吐量。

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