Research on Multi-QoS and Trusted Task Scheduling in Cloud Computing Environment

Abstract

Multi-QoS and Trusted resource management and Task Scheduling are key problem in cloud computing. This paper presented an effective Multi-QoS and Trusted resource management model and Task Scheduling algorithm in Cloud Computing Environment. By using the idea of fuzzy clustering for reference, the proposed approach can subtly schedule the Cloud tasks to appropriate resources that exactly meets its’ multi-QoS needs of resources. Considering the credibility of cloud resources, the credibility and trusty of task scheduling has been dramatically improved.

Performance comparison of heuristic algorithms for task scheduling in IaaS cloud computing environment

“…With the behavior of firefly algorithm, the cloud computing research demonstrates the extreme resolution for task scheduling. With the help of fuzzy clustering, Li, et al [ 33 ] suggest an algorithm and model to distribute a suitable resources to tasks mapping. It achieves the desires of tasks and reserve for the influential resources.…”