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
相关论文
共 50 条
  • [1] Fog computing: a platform for big-data marketing analytics
    Hornik, Jacob
    Rachamim, Matti
    Graguer, Sergei
    FRONTIERS IN ARTIFICIAL INTELLIGENCE, 2023, 6
  • [2] Poster Abstract: Resource Aware Placement of Data Stream Analytics Operators on Fog Infrastructure for Internet of Things Applications
    Taneja, Mohit
    Davy, Alan
    2016 FIRST IEEE/ACM SYMPOSIUM ON EDGE COMPUTING (SEC 2016), 2016, : 113 - 114
  • [3] Latency-Aware Placement of Data Stream Analytics on Edge Computing
    Veith, Alexandre da Silva
    de Assuncao, Marcos Dias
    Lefevre, Laurent
    SERVICE-ORIENTED COMPUTING (ICSOC 2018), 2018, 11236 : 215 - 229
  • [4] A Latency-Aware Multiple Data Replicas Placement Strategy for Fog Computing
    Huang, Tiansheng
    Lin, Weiwei
    Li, Yin
    He, LiGang
    Peng, ShaoLiang
    JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY, 2019, 91 (10): : 1191 - 1204
  • [5] A Latency-Aware Multiple Data Replicas Placement Strategy for Fog Computing
    Tiansheng Huang
    Weiwei Lin
    Yin Li
    LiGang He
    ShaoLiang Peng
    Journal of Signal Processing Systems, 2019, 91 : 1191 - 1204
  • [6] Supporting Internet-of-Things Analytics in a Fog Computing Platform
    Hong, Hua-Jun
    Tsai, Pei-Hsuan
    Cheng, An-Chieh
    Uddin, Md Yusuf Sarwar
    Venkatasubramanian, Nalini
    Hsu, Cheng-Hsin
    2017 9TH IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING TECHNOLOGY AND SCIENCE (CLOUDCOM), 2017, : 138 - 145
  • [7] Latency-Aware Placement Heuristic in Fog Computing Environment
    Amira, Rayane Benamer
    Hana, Teyeb
    Ben Hadj-Alouane, Nejib
    ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS (OTM 2018), PT II, 2018, 11230 : 241 - 257
  • [8] Throughput-Aware Partitioning and Placement of Applications in Fog Computing
    Faticanti, Francescomaria
    De Pellegrini, Francesco
    Siracusa, Domenico
    Santoro, Daniele
    Cretti, Silvio
    IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2020, 17 (04): : 2436 - 2450
  • [9] Trust-aware Framework for Application Placement in Fog Computing
    Yadav, Ravi
    Baranwal, Gaurav
    13TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED NETWORKS AND TELECOMMUNICATION SYSTEMS (IEEE ANTS), 2019,
  • [10] An Analysis of Fog Computing Data Placement Algorithms
    da Silva, Daniel Maniglia A.
    Asaamoning, Godwin
    Orrillo, Hector
    Sofia, Rute C.
    Mendes, Paulo M.
    PROCEEDINGS OF THE 16TH EAI INTERNATIONAL CONFERENCE ON MOBILE AND UBIQUITOUS SYSTEMS: COMPUTING, NETWORKING AND SERVICES (MOBIQUITOUS'19), 2019, : 527 - 534
12345