latency.
Cloud Computing Integration: Edge computing is being integrated with cloud computing to create a hybrid approach, allowing for more efficient and scalable data processing.
Key Drivers:
Reduced Latency: Edge computing reduces the time it takes for data to travel from the source to the processing center, resulting in faster response times and improved performance.
Cost Savings: By processing data closer to the source, edge computing can reduce the need for expensive data storage and bandwidth, resulting in cost savings for organizations.
Challenges:
Security Concerns: With data being processed and stored at the edge, there are concerns about the security of sensitive data and the potential for cyber attacks.
Lack of Standardization: As edge computing is a relatively new concept, there is a lack of standardization in terms of hardware, software, and protocols, making it difficult for organizations to adopt.