- مبلغ: ۸۶,۰۰۰ تومان
- مبلغ: ۹۱,۰۰۰ تومان
In the emerging e-commerce scenario, information captured by enterprises through their web-based applications has been exploding. Extensive use of applications based on multimedia and social media effects in exponential growth of data. Cloud computing system (or simply cloud) provides the required infrastructure for storing the large data generated by these applications. Efficient task scheduling in the cloud will reduce the task completion time and hence improve the performance of the cloud. In this paper, we have proposed an efficient cloud scheduling algorithm based on the results of the analysis performed on the log which consists of previous scheduling information for improving the performance of the cloud.
4. Conclusion and Future Works
In this paper, we have proposed an efficient cloud scheduling algorithm for improving the performance of the cloud. The proposed algorithm mines the log maintained in the compute nodes of a cloud to come out with the some scheduling patterns for VMs present in those compute nodes and the incoming task is allocated to a suitable VM of a compute node. As a part of future work, we wish to implement this algorithm in CloudSim (a tool used for simulating the cloud) and compare its performance with other ant colony-based and simulated annealing-based algorithms.