Improved FIFO Scheduling Algorithm Based on Fuzzy Clustering in Cloud Computing

Citations Over TimeTop 10% of 2017 papers

Abstract

In cloud computing, some large tasks may occupy too many resources and some small tasks may wait for a long time based on First-In-First-Out (FIFO) scheduling algorithm. To reduce tasks’ waiting time, we propose a task scheduling algorithm based on fuzzy clustering algorithms. We construct a task model, resource model, and analyze tasks’ preference, then classify resources with fuzzy clustering algorithms. Based on the parameters of cloud tasks, the algorithm will calculate resource expectation and assign tasks to different resource clusters, so the complexity of resource selection will be decreased. As a result, the algorithm will reduce tasks’ waiting time and improve the resource utilization. The experiment results show that the proposed algorithm shortens the execution time of tasks and increases the resource utilization.

Related Papers

• → Edubase Cloud: Cloud platform for cloud education(2012)7 cited
• → Green Cloud Computing(2022)1 cited
• Cloud Computing - Trends and Performance Issues: Major Cloud Providers, Challenges of Cloud Computing, Load balancing in Clouds(2012)
• → Simulation Modelling of Cloud Mini and Mega Data Centers Using Cloud Analyst(2023)