期刊论文

Tan, Liansheng（谭连生）

英文

IEEE INTERNET OF THINGS JOURNAL

2327-4662

2019

6

4

6876-6886

10.1109/JIOT.2019.2911978

Manuscript received March 11, 2019; revised March 31, 2019; accepted April 15, 2019. Date of publication April 22, 2019; date of current version July 31, 2019. This work was supported in part by the National Natural Science Foundation of China under Grant 61370107 and Grant 61672258 and in part by the Fundamental Research Funds of South Central University for Nationalities under Grant CZQ14022. (Corresponding author: Liansheng Tan.) X. Li is with the Computer Science Department, Central China Normal University, Wuhan 430079, China, and also with the Faculty of Mathematics and Statistics, South Central University for Nationalities, Wuhan 430074, China (e-mail: lxf@mail.scuec.edu.cn).

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Internet of Things (IoT) still faces many challenges, one of which is how to efficiently and effectively allocate the cloud resources in order to obtain the desired quality of service (QoS) for the IoT users and communication domains. To face the above challenges, this paper first identifies that there is an issue of cost performance tradeoff, which is stemmed from various limited resources in the IoT systems and the competing services requirements. We second propose a nonlinear optimization model that attacks the resource allocation problem. Within the constraints of resources and service dem...