Editing Emerging Research Directions (section)

===7.5.3 Persistence Mechanisms in Edge Devices===
'''Caching Strategies'''

Caching is a critical persistence mechanism in edge computing, as it accelerates data access by storing frequently accessed data closer to the point of use. Techniques like in-memory caching, distributed caching, and content delivery networks (CDNs) are commonly used to enhance performance and reduce latency. For instance, in-memory caching stores data directly within an application's memory space, offering the fastest access times due to its proximity to the application logic.

'''Local Databases'''

Local databases are essential for storing and managing data on edge devices. SQLite is a lightweight relational database ideal for embedded systems, mobile apps, and IoT devices due to its small footprint and ease of use. On the other hand, RocksDB is a high-performance key-value store optimized for write-heavy workloads and large-scale applications, making it suitable for edge AI solutions and real-time analytics.

'''Object Storage at the Edge'''

Object storage is increasingly used at the edge due to its scalability and flexibility. It simplifies operations by avoiding hierarchical file systems and supports peer-to-peer architectures, which enhance flexibility and efficiency across distributed computing environments. Edge object storage is particularly beneficial for handling fluctuating workloads and accommodating modern technologies like containerization and microservices.