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PhD Research Guidance in Edge Computing

PhD Research Guidance in Edge Computing

With the numerous endpoints in the Internet of Things (IoT) technology, consolidating and processing the data in a single data center is critical.

The increasing quantity of data generated from IoT devices makes **transmitting data a bottleneck in cloud computing**.

**Edge computing** ensures high resilience and low latency, making it suitable for real-time applications.

In **smart transportation systems**, edge computing enables real-time responses via wireless networks instead of waiting for cloud responses.

It optimizes **image and video resolution at the edge** before uploading to remote servers, enhancing efficiency.

Edge computing powers **augmented reality, self-driving cars, smart logistics, video surveillance, smart healthcare, and more**.

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Computer Science and Engineering, Computer Science, Computer Applications, Information Technology, and Computer Networks

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Computer Science and Engineering, Computer Science, Computer Applications, Information Technology, and Computer Networks

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