Cranduler: a dynamic and reusable scheduler for cloud infrastructure service

Authors:
Xuanhua Shi;Bo Xie;Song Wu;Hai Jin;Hongqing Zhu
Affiliations:
Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China;Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China;Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China;Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China;Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China
Venue:
ICPCA/SWS'12 Proceedings of the 2012 international conference on Pervasive Computing and the Networked World
Year:
2012

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Abstract

As an import trend of cyberspace in the future, cloud computing has attracted much attention from the IT industry. Many research institutions and companies have launched their own cloud platforms, which have virtual machine schedulers to manage the infrastructure resource pool. The virtual machine scheduling modules in these platforms are built in the platform and it is hard for developers to re-program. Since developers cannot design and implement special policies in the platform, the flexibility of the virtual machine scheduler is poor. Furthermore, the schedule architecture which has a firm and unchangeable interface is designed and customized for one kind of cloud platform. It leads to poor portability. To target the problems above, this paper presents a dynamic and reusable scheduling system for cloud infrastructure service, called Cranduler, which introduces the advantages of cluster schedulers to the virtual machine scheduling in cloud infrastructure. The scheduling policies of Cranduler could be dynamically configured by developers. Developers can easily insert the custom policy. In addition, Cranduler provides a set of unified interfaces to the cloud platform, which make the system easily access resources from different cloud platforms and be reused in different cloud platforms.