Danger Theory Based Load Balancing (DTLB)Algorithm for Cloud Computing
Cloud computing is one of the growing technology in computer science and an established way for sharing and accessing resources via internet. Load balancing is a method of reassigning the total load to the entity nodes of the collective system to create resource utilization useful and to improve the response time of the job, concurrently eliminating a condition in which some of the nodes are over loaded while some others are under loaded. There are many techniques are available for balancing the load on servers but none of the technique provide a way to generate any signal when server is overloaded. Danger Theory Based Load Balancing (DTLB) algorithm for cloud computing is presented in this paper. Proposed algorithm provide an effective load balancing technique which properly distribute the load among servers and generate three level danger signals when any of the servers are overloaded, under loaded, not available or cross threshold value. Results provide better storage utilization, less response time, performance and better reliability with the help of this algorithm.
Keywords: Cloud Computing, Load Balancing, Artificial Intelligence, Danger Theory
Download Full-Text
ABOUT THE AUTHORS
Isha Dubey
mtech reseach scholar
Praneet Saurabh
Prof in TIT,Bhopal (m.p),India ,Computer Science & Engineering Department
Isha Dubey
mtech reseach scholar
Praneet Saurabh
Prof in TIT,Bhopal (m.p),India ,Computer Science & Engineering Department