Editing Emerging Research Directions (section)

===7.5.1 Introduction===

'''What is Edge Persistence?'''

Data persistence plays a crucial role in ensuring that data generated is reliably stored and managed locally or near the location, even in volatile environments. Persistence at the edge is especially important, as edge applications are often deployed in highly non-deterministic conditions. By bringing data closer to the edge, it becomes essential to ensure its reliability. Exploring persistent storage allows us to safeguard data integrity by capturing information locally until it can be properly synchronized. Edge persistence ensures that data remains accessible, secure, and consistent even in network disruptions, hardware failures, or resource constraints, which is essential for maintaining reliability in edge computing environments [8]. 

This section introduces the topic of persistence at the edge highlighting prominent challenges in the space of data integrity in distributed edge systems. This section explores three main challenges of data persistence at the edge: 

#Byzantine Faults
#Data Consistency
#Limited Resources

This section will also explore emerging solutions to these challenges that are not standardized or concrete, but serves as a direction in which to consolidate these answers to solve data integrity at the edge:

*Store-and-Forward Techniques: using message queues (MQTT or Apache Kafka) to reliably forward data when the connection resumes [6]. 

*Lightweight Databases: Use embedded databases optimized for low-resource environments (e.g., SQLite, TinyDB, or RocksDB).

*Conflict Resolution Policies: Use mechanisms like versioning, timestamps, or last-write-wins to resolve conflicting updates [5].