Resource aware placement of data analytics platform in fog computing

被引：33
|
作者：
Taneja, Mohit [1 ,2 ]
Davy, Alan [1 ,2 ]
机构：
[1] Waterford Inst Technol, Dept Comp & Math, Telecommun Software & Syst Grp, Waterford, Ireland
[2] CONNECT, Dublin, Ireland
来源：
2ND INTERNATIONAL CONFERENCE ON CLOUD FORWARD: FROM DISTRIBUTED TO COMPLETE COMPUTING | 2016年 / 97卷
关键词：
Cloud computing; fog computing; virtual machine; analytics; Internet of Things (IoT);
D O I：
10.1016/j.procs.2016.08.295
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Fog computing is an extension of cloud computing right to the edge of the network, and seeks to minimize service latency and average response time in applications, thereby enhancing the end-user experience. However, there still is the need to define where the service should run for attaining maximum efficiency. By way of the work proposed in this paper, we seek to develop a resource-aware placement of data analytics platform in fog computing architecture, that would adaptively deploy the analytic platform to run either on the cloud, or the fog, thus reducing the network costs and response time for the user. (C) 2016 The Authors. Published by Elsevier B.V.
引用
收藏
页码：153 / 156
页数：4
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