Queue-Aware Learning for Scheduling in Healthcare Clouds

被引：0
|
作者：
Kim, Joongheon [1 ]
Cho, Sungrae [1 ]
机构：
[1] Chung Ang Univ, Sch Comp Sci & Engn, Seoul, South Korea
来源：
2017 PROCEEDINGS OF KICS-IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATIONS WITH SAMSUNG LTE & 5G SPECIAL WORKSHOP | 2017年
基金：
新加坡国家研究基金会;
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper presents an adaptive algorithm for the scheduling of randomly deployed 60 GHz IEEE 802.11ad access points (APs) with the concept of stochastic message-passing in in-hospital medical healthcare cloud platforms. To formulate this scheduling problem, this paper uses max-weight independent set (MWIS) formulation where the weight is defined as the queue-backlog size; and then it approximately solves the problem with the theory of stochastic learning, i.e., stochastic message-passing.
引用
收藏
页码：304 / 305
页数：2
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