Cloud Edge Computing

Edge computing is a distributed computing paradigm which brings computation and data storage closer to the location where it is needed, to improve response times and save bandwidth

Here are the major scenarios for such cloud-edge computing development:

1. Low latency: For latency sensitive services such as 5G and IoT, running on the edge provides much lower latency and faster response time. We have seen more and more latency sensitive services being built around the public cloud ecosystem.
2. Massive data: With the rapid growth of devices and users, we’re generating massive amount of data every day. It is very costly to move device or user generated data for services to run on the cloud in real time or on a regular basis. Instead, it is more efficient to run services on the edge and to perform local data processing. In some cases, it is the only viable option and can save tremendous network cost.
3. Privacy/security: For some businesses or regions, it is required to store sensitive and/or confidential data locally on the edge (without moving to cloud) to comply with privacy law and/or security regulations.
4. Distributed cloud architecture: At the same time of adopting public cloud services, many enterprises have needs to run part of their business on locally edge servers, which challenge cloud providers to design and provide a distributed cloud architecture to their users.