Title :
Research on hybrid task scheduling algorithm simulation of ant colony algorithm and simulated annealing algorithm in virtual environment
Author_Institution :
Nanning College for Vocational Technology, Nanning, China
Abstract :
According to certain rules, making use of ant colony optimization algorithm to search for optimal allocation scheme, and with the guidance of task scheduling and resource allocation, can solve the task scheduling in virtual resources environment. This paper will take the Qos service quality as a reference, virtualize the characteristics of resources, and conduct the resource allocation and task scheduling in ensuring the premise of Qos service quality. Through the hybrid ant colony optimization algorithm and simulated annealing algorithm, this paper will improve the efficiency of task scheduling in virtual resource environment.
Keywords :
Algorithm design and analysis; Ant colony optimization; Cloud computing; Quality of service; Resource management; Scheduling; Simulated annealing; Ant Colony algorithm; Simulated annealing; Task scheduling;
Conference_Titel :
Computer Science & Education (ICCSE), 2015 10th International Conference on
Conference_Location :
Cambridge, United Kingdom
Print_ISBN :
978-1-4799-6598-4
DOI :
10.1109/ICCSE.2015.7250310