SEER-MCache: A Prefetchable Memory Object Caching System for IoT Real-Time Data Processing

Abstract

Memory object caching systems, such as Memcached and Redis, have been proved to be a simple and highefficient middleware for improving the performance of IoT (Internet of Things) devices querying the database in cloud. However, its performance guarantee is built on the fact that the target data, queried by the IoT device, will be accessed many times and hit in the caching system. Therefore, when database system is handling the unrepeated IoT queries, it usually presents the sub-optimal performance, which greatly impairs the efficiency of real-time data processing on IoT devices. To improve this issue, we propose Seer-MCache, the memory object caching system with a smart prefetching (read-ahead) function, to fill up the caching system with the desired data before the intensive IoT queries arriving. Seer-MCache includes a set of rules to launch the specific behaviors of read-head. These rules are able to be customized according to the workload characteristics and system load. We implement a prototype system in Redis (caching layer) and MySQL server (database system). Extensive experiments are conducted to verify the effectiveness of Seer-MCache, the results show that Seer-MCache can improve the performance of readintensive workload up to 61% (39.5% in average). Meanwhile, the cost of the read-ahead behavior is moderate and controllable.

Modeling the Delivery of Coded Packets in D2D Mobile Caching Networks

“…We do extensive simulations to verify our analysis. We simulate a network of square grid of 16 In Fig. 5, we summarize the results of performance metrics obtained from both analysis and simulations.…”

“…Because it not only helps to increase the network throughput but also reduces the load on the backhaul network and can contribute towards setting up a green communication network [12] by reducing the energy consumption and improving the energy efficiency of devices [13]- [15]. Moreover, caching also improves the performance of Internet of Things (IoT) devices for real-time data processing using smart prefetching of desired data before the arrival of IoT queries [16].…”

Energy Efficient Hybrid Edge Caching Scheme for Tactile Internet in 5G

“…Erol-Kantarci et al apply mobile edge caching into augmented reality (AR) and virtual reality (VR), and overcome the challenges on link capacity and backhaul traffic [25]. Li et al consider a prefetchable memory object caching design for real-time data processing in IoT system [26].…”

Enabling Computational Intelligence for Green Internet of Things: Data-Driven Adaptation in LPWA Networking

“…Nevertheless, if we use medium-distance communication technologies (such as ZigBee) to form a WANET, the actual delay over multiple hops will significantly increase, and throughput will decline [11]; many redundant packets will have to be generated to achieve a higher delivery rate, which will lead to additional energy consumption. On the other hand, the pure low-power wide area (LPWA) protocols could avoid the above multiple relaying problems, but the unlicensed narrow band significantly limits the performance of multinode networks [12]. In addition to the throughput limitation of the node-to-BS model, the IoT nodes have to perform long-term channel detection and endure single-channel interference, which necessitates more sophisticated power control mechanisms [13].…”