Journal of University of Science and Technology of China ›› 2019, Vol. 49 ›› Issue (10): 820-827.DOI: 10.3969/j.issn.0253-2778.2019.10.007

• Original Paper • Previous Articles     Next Articles

Cost optimization of request dispatching and container deployment in cloudlets

ZHENG Xiaojie, LI Jing   

  1. School of Computer Science and Technology,University of Science and Technology of China,hefei 230027,china
  • Received:2019-03-28 Revised:2019-05-28 Accepted:2019-05-28 Online:2019-10-31 Published:2019-05-28

Abstract: With the development of the Internet of Things (IoT), cloudlet is serving more low-latency, high-bandwidth applications. The application request is dynamic in time and space. If a cloudlet only processes the surrounding requests, some cloudlets will be overloaded while others are underloaded. In addition, IoT applications vary in importance. Some unimportant services with large requests may preempt the cloudlet resources, resulting in critical services unable to be executed. Cloudlet load imbalance and critical service starvation will increase the cost of the cloud infrastructure provider. Cost optimization of request dispatching and container deployment in container-based cloudlets are investigated and a cost optimization greedy algorithm named CO-Greedy is proposed which optimizes cost by dispatching the request to the surrounding cloudlet. The experimental results show that the algorithm has better performance in all scenarios.

Key words: cloudlet, container, resource allocation

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