High-Performance Elastic Management for Cloud Containers Based on Predictive Message Scheduling

Chengxin Yan, Ningjiang Chen and Zhang Shuo
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Chengxin Yan: School of Computer and Electronic Information, Guangxi University, Nanning 530004, China
Ningjiang Chen: School of Computer and Electronic Information, Guangxi University, Nanning 530004, China
Zhang Shuo: School of Computer and Electronic Information, Guangxi University, Nanning 530004, China

Future Internet, 2017, vol. 9, issue 4, 1-13

Abstract: Containerized data centers can improve the computational density of IaaS layers. This intensive high-concurrency environment has high requirements for message scheduling and container processing. In the paper, an elastically scalable strategy for cloud containers based on predictive message scheduling is introduced, in order to reduce the delay of messages and improve the response time of services and the utilization of container resources. According to the busy degree of different containers, a management strategy of multiple containers at message-granularity level is developed, which gives the containers better elasticity. The simulation results show that the proposed strategy improves service processing efficiency and reduces response latency compared with existing solutions.

Keywords: message scheduling; cloud container; elastic management; predictive strategy (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2017
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