• Ajay Singh Thakur

Cloud computing is the most reliable, competent and useful in the world of current technology. Cloud computing is a technique that consists of several Web-enabled software and services. Resource programming and resource allocation in cloud computing is the vast area of research today. Therefore, the efficient algorithm for scheduling and allocating resources in the cloud will result in more elastic and efficient cloud computing services. The cloud implementation uses several steps from maintenance to deployment, etc. In this document, we conduct a survey of different load balancing algorithms and classify them based on their dynamics and find out the challenges facing these algorithms. So, we compare these algorithms with an approach to the Markov hidden model technique and with this technique, we will try to clarify the load balancing scenario of the cloud service when programming resources. Markov's hidden model in cloud resource scheduling can help predict the next workload that will arrive on the server, under which the system will allocate resources to a given job. This will contribute to better CPU utilization as well as a faster execution environment in cloud computing.

Cloud Computing; Load balancing; Proactive technique; Resource allocation; Resource Scheduling

"Static and Dynamic Load Balancing Algorithms in Cloud Computing: A Comparative Survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.183-187, June-2019, Available :http://www.jetir.org/papers/JETIR1908967.pdf

"Static and Dynamic Load Balancing Algorithms in Cloud Computing: A Comparative Survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp183-187, June-2019, Available at : http://www.jetir.org/papers/JETIR1908967.pdf