Edge & Cloud Computing

Delivering computing power, storage, and services over the internet — at scale and at the point of need.

Edge & Cloud Computing

Supported by 5G technology, this architecture uses Multi-access Edge Computing (MEC) to process data closer to the device, achieving ultra-low latency of under 10ms. While the Cloud provides a centralized backend, the Edge acts as a functional foundation for high-speed, real-time applications like autonomous driving and AR/VR.

Cloud showcase

Machinery and sensors (Edge) Controlled through Cloud

Example use cases

Edge and Cloud Compute in action

Transport

Autonomous Vehicles

Edge computing for instant braking; Cloud for traffic patterns.

Commerce

Smart Retail

Global inventory syncing across thousands of stores in real-time.

Health

Remote Healthcare

Local vitals monitoring with cloud alerts for anomalies.

Application to SMARTER Nation

To ensure the system never crashes when people need it most, we use professional cloud hosting (AWS). This technology ensures that whether 100 or 100,000 people are checking the map during a flood, the website remains lightning-fast and reliable across the entire country.

Bibliography · Edge & Cloud Computing

REFERENCES

Buyya, R., & Srirama, S. N. (2019). Fog and edge computing. Wiley.
Hu, P. (2019). Edge computing: Fundamentals and applications. CRC Press.
Mell, P., & Grance, T. (2011). The NIST definition of cloud computing. NIST.
Shi, W., & Dustdar, S. (2016). The promise of edge computing. Computer, 49(5).
Zhou, Z., et al. (2019). Edge intelligence. Proceedings of the IEEE, 107(8).