A Survey on Static and Dynamic Load Balancing Algorithms in Cloud Computing
8 Pages Posted: 5 Apr 2019
Date Written: April 4, 2019
Cloud computing is the most reliable, proficient and useful in today’s world of technology. Cloud computing is a technique which consists of various software and web-enabled services. The resource scheduling and resource allocation in cloud computing is the vast area of research now a days. Thus the efficient algorithm for cloud resource scheduling and allocation will result in more elastic and efficient cloud computing services. Implementation of cloud uses various steps from maintenance to implementation and so on. In this paper, we had conducted a survey on different load balancing algorithms and categorized them on the basis of their dynamicity and found the challenges faced by those algorithms. Then, we compared these algorithms with an approach of Hidden Markov Model technique and by this technique, we will try to clarify the load balancing scenario of the cloud service during resource scheduling. The Hidden Markov Model in cloud resource scheduling can help to predict the next work load coming on the server, according to which the system will allocate the resources to a particular work. This will help in better CPU utilization as well as faster execution environment in cloud computing.
Keywords: Cloud Computing, Load balancing, Proactive technique, Resource allocation, Resource Scheduling
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