Improved PC Based Resource Scheduling Algorithm for Virtual Machines in Cloud Computing

• Published in: Big Data Computing and Communications Vol. 9784; pp. 321 - 331
• Main Authors: Qiao, Baiyou, Shen, Muchuan, Zhu, Junhai, Zheng, Yujie, Li, Xiaolong, Tong, Bin, Chen, Donghai, Wang, Guoren
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 2016; Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: Cloud computing; Network hardware; Resource scheduling; Virtual machine
• ISBN: 9783319425528; 3319425528
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-319-42553-5_27

The existing resource scheduling algorithms for virtual machines usually use serial job deployment ways which easily lead to the job completion time overlong and the system load unbalance. To solve the problems, an Improved Potential Capacity (IPC) based resource scheduling algorithm for virtual machines is proposed, which comprehensively considers the overall job completion time and system load balancing, and applies a new metric to dynamically estimate the resource remaining capacities of virtual machines, and thus reduce the inexact matching between jobs and virtual machines. A batch job deployment method is also proposed to execute the batch job deployment. Many simulation experimental results show that the proposed algorithm can effectively decrease the overall job completion time and improve the load balancing of a cloud system.