作者
Saurabh Shukla, Mohd Fadzil Hassan, Duc Chung Tran, Rehan Akbar, Irving Vitra Paputungan, Muhammad Khalid Khan
发表日期
2023/10
来源
Cluster Computing
页码范围
1-24
出版商
Springer US
简介
To store, analyse and process the large volume of data generated by IoT traditional cloud computing, is used everywhere. However, the traditional cloud data centres have their limitations to handle high latency issues in time-critical applications of IoT and cloud. Their applications are computer gaming, e-healthcare, telemedicine and robot surgery. The high latency in IoTs and cloud includes high computational, communication latency (service) and network latencies. The vital requirement of IoT is to have minimum network, service and computation latencies for real-time applications. Network latency causes a delay in transmitting a message or communication from one location to another. Services that require data in real-time are almost impossible to access the data via the cloud. Traditional cloud computing approaches are unable to fulfil the quality-of-service (QoS) requirements in IoT devices. Researches …
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