• Nikitha S M
• Dr anitha v

In recent years Internet of Things (IOT) has developed rapidly because of its attractive applications. Due to limited computing capabilities of IOT devices its applications should be offloaded to cloud and fog. This can be achieved by using model free priority based Q learning method, which finds optimal coordinated virtual resource policy in the sense that it maximizes the expected value of the total reward over all successive steps, starting from the current state by considering continuous task. The common objective of the proposed methods is to find an asymptotically optimal resource allocation policy to maximize the revenue from the perspective of the service system. This method overcomes the rejection probabilities of the high priority requests.

IOT, cloud, fog, Q learning

" Virtual resource allocation in cloud-fog computing systems using Q learning method", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.415-419, June 2019, Available :http://www.jetir.org/papers/JETIR1906Q58.pdf

" Virtual resource allocation in cloud-fog computing systems using Q learning method", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp415-419, June 2019, Available at : http://www.jetir.org/papers/JETIR1906Q58.pdf