The growth of MEC edge computing is driven by a combination of factors, including the increasing demand for low-latency applications, the growing adoption of IoT devices, and the expansion of 5G networks.

MEC edge computing offers several benefits, including reduced latency, improved bandwidth, and enhanced security. However, it does not lead to increased cost.

MEC edge servers are responsible for processing data close to the edge devices, thereby reducing latency and improving performance.

AI, ML, and blockchain are all expected to play significant roles in the future of MEC edge computing, enabling new applications and services.

Edge orchestration refers to the process of managing and coordinating computing resources across multiple edge locations.

MEC edge computing is expected to benefit a wide range of industries, including manufacturing, healthcare, retail, and many others.

Vehicular edge computing refers to the use of MEC edge computing to support autonomous vehicles.

MEC edge computing is designed to reduce latency, not increase it.

Immersive edge computing refers to the use of MEC edge computing to support AR/VR applications.

Electronic health records management is typically not considered a direct application of MEC edge computing in healthcare.

Urban edge computing refers to the use of MEC edge computing to support smart cities.

MEC edge computing is designed to improve performance, not decrease it.

Industrial edge computing refers to the use of MEC edge computing to support industrial automation.

MEC edge computing can help reduce bandwidth requirements for gaming applications, not increase them.

Video edge computing refers to the use of MEC edge computing to support video streaming applications.