• Jagruti Soni
• Prashant Jawalkar

Abstract— As we know cloud is the most trusted and huge structure as well as it is the most complex structure too. This makes the cloud to play an important role in all of its three functional joints like Iaas,Pass and Saas. So a perfect cloud is designed to perform all the functions of three categories stated before. The functions or tasks in cloud are generally referred as the jobs, and scheduling these tasks is the most cumbersome task in the cloud based on the available resources. Each and every job in the cloud is related to one or more resources, So assigning these multi resources jobs need top precision to avoid the long job queues within the stipulated time is very important to maintain the cloud's health. Some systems are existed to do this by using the linear job priority queues and other are using the randomized algorithms for scheduling the multi resource jobs in the cloud. These methodologies always have inconsistency in scheduling as they are not able to consider all the possibilities based on the available resources. To enhance the working strategy of cloud in Scheduling Multi-Resource Jobs, proposed model uses Hungarian model and Decision tree techniques. Here all the possibilities of the scheduling are considered to yield the best scheduling decision which eventually enhances the performance of the cloud.

Job Scheduling, Resource Allocation, Decision tree, Hungarian Task allocation.

"Enhancing Scheduling Multi - Resource Jobs in the cloud by Using Hungarian Model", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.649-657, June 2019, Available :http://www.jetir.org/papers/JETIR1906P94.pdf

"Enhancing Scheduling Multi - Resource Jobs in the cloud by Using Hungarian Model", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp649-657, June 2019, Available at : http://www.jetir.org/papers/JETIR1906P94.pdf