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IMAGE: RUDN mathematician and his colleagues from China, Egypt, Saudi Arabia, United Kingdom, and Qatar have developed an algorithm allowing the distribution of computing tasks between the IoT devices and the...
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Credit: RUDN University
RUDN mathematician and his colleagues from China, Egypt, Saudi Arabia, United Kingdom, and Qatar have developed an algorithm allowing the distribution of computing tasks between the IoT devices and the cloud in an optimal way. As a result, the power and time costs are reduced by about three times. The study was published in the
Big Data.
With the development of technologies and devices, Internet of Things (IoT) applications require more and more computing power. The amount of data that the IoT devices need to process can be so large that it is reasonable to migrate computing to the cloud. Cloud computing provides flexible data processing and storage capabilities. But Computation offloading, meaning transferring of the resource-intensive processes to the cloud, requires additional power and time. In addition, during the transfer of information, the device is less protected from malware. The RUDN mathematician and his colleagues proposed an algorithm that allows reducing the offloading time and power consumption by 2.8 times. The algorithm also protects the devices for the offloading period with additional encryption.