Title :
VM scheduling strategies based on artificial intelligence in Cloud Testing
Author :
Yang Zheng ; Lizhi Cai ; Shidong Huang ; Zhihong Wang
Author_Institution :
Sch. of Inf. Sci. & Eng., East China Univ. of Sci. & Technol., Shanghai, China
fDate :
June 30 2014-July 2 2014
Abstract :
Virtualization technology not only is the basis of Cloud computing technology, but also plays an important role in Cloud Testing. Cloud Testing takes advantage of virtualization technology to generate VM (virtual machine) resources in the physical machine, and adopts the corresponding strategies to schedule the VM resources. VM scheduling strategies have a crucial impact on the overall performance of Cloud Testing. The paper first introduces the scheduling process of VM in Cloud Testing, and divides the common scheduling strategies into three categories: center on saving energy, center on load balancing and center on Qos performance. Then the common VM scheduling strategies in current Cloud Testing environment are analyzed. Finally, their advantages and disadvantages are also discussed.
Keywords :
artificial intelligence; cloud computing; program testing; virtual machines; Qos performance; VM resources; VM scheduling strategies; artificial intelligence; cloud computing technology; cloud testing; load balancing; saving energy; virtual machine; virtualization technology; Cloud computing; Genetic algorithms; Load management; Processor scheduling; Quality of service; Scheduling; Testing; Cloud Testing; Cloud computing; VM; Virtual Machine scheduling;
Conference_Titel :
Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), 2014 15th IEEE/ACIS International Conference on
Conference_Location :
Las Vegas, NV
DOI :
10.1109/SNPD.2014.6888746