Editing User:Farhan (section)

=='''2.4 Edge-Cloud Continuum'''==
Edge-Cloud Continuum is defined as an adaptive and dynamic computational paradigm that balances edge, fog, and cloud computation workloads. Through this integration of environments, applications can toggle between local and remote processing depending on workload, latency constraints, and network status.

===='''Core Functions:'''====
#'''Dynamic Workload Distribution:''' Real-time tasks are processed at the edge, while less critical operations are pushed to the cloud,
#'''Real-Time Data Processing:''' Edge devices manage time-sensitive data, like sensor readings, without sending it to remote servers
#'''Data Filtering and Aggregation:''' Fog nodes filter data before forwarding it to the cloud, minimizing data transfer
#'''Scalable and Elastic Resource Management:''' Allocates resources adaptively according to the computational demand
#'''Security and Privacy Management:''' Implements localized data encryption and access control,
#'''Interoperability:''' Facilitates smooth interaction between edge, fog, and cloud systems through intelligent orchestration.

===='''Applications:'''====
*'''Smart Grids:''' Real-time monitoring and load balancing between local power sources and centralized control
*'''Smart Agriculture:''' Local analysis of environmental data, with broader data analytics performed in the cloud
*'''Healthcare Monitoring:''' Real-time patient monitoring at the edge, with historical analysis in the cloud

By blending edge and cloud processing, the continuum provides a flexible infrastructure that adapts to real-time requirements while maintaining efficient long-term data management.