A Survey from Real-Time to Near Real-Time Applications in Fog Computing Environments

被引:19
|
作者
Gomes, Eliza [1 ,2 ]
Costa, Felipe [1 ]
De Rolt, Carlos [3 ]
Dantas, Mario [4 ]
Plentz, Patricia [1 ]
机构
[1] Univ Fed Santa Catarina, Dept Informat & Stat, BR-88040900 Florianopolis, SC, Brazil
[2] BRy Tecnol, BR-88036002 Florianopolis, SC, Brazil
[3] Univ Estado Santa Catarina, Ctr Management & Socioecon Sci, BR-88035001 Florianopolis, SC, Brazil
[4] Univ Fed Juiz de Fora, Dept Comp Sci, BR-36036900 Juiz De Fora, MG, Brazil
来源
TELECOM | 2021年 / 2卷 / 04期
关键词
real-time; near real-time; IoT; fog computing; edge computing; DATA ANALYTICS; SCHEDULING ALGORITHM; IOT; CLOUD; ARCHITECTURE; MANAGEMENT; FRAMEWORK; INTERNET; SUPPORT; SYSTEM;
D O I
10.3390/telecom2040028
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
In this article, we present a comprehensive survey on time-sensitive applications implemented in fog computing environments. The goal is to research what applications are being implemented in fog computing architectures and how the temporal requirements of these applications are being addressed. We also carried out a comprehensive analysis of the articles surveyed and separate them into categories, according to a pattern found in them. Our research is important for the area of real-time systems since the concept of systems that respond in real time has presented various understandings and concepts. This variability of concept has been due to the growing requirements for fast data communication and processing. Therefore, we present different concepts of real-time and near real-time systems found in the literature and currently accepted by the academic-scientific community. Finally, we conduct an analytical discussion of the characteristics and proposal of articles.
引用
收藏
页码:489 / 517
页数:29
相关论文
共 50 条
  • [1] A resilient and distributed near real-time traffic forecasting application for Fog computing environments
    Luis Perez, Juan
    Gutierrez-Torre, Alberto
    Berral, Josep Ll.
    Carrera, David
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2018, 87 : 198 - 212
  • [2] Cloud vs Fog Computing - Scheduling Real-Time Applications
    Karatza, Helen
    2020 9TH MEDITERRANEAN CONFERENCE ON EMBEDDED COMPUTING (MECO), 2020, : 2 - 2
  • [3] In-Vehicle Real-Time Fog Computing
    Kopetz, Hermann
    Poledna, Stephan
    2016 46TH ANNUAL IEEE/IFIP INTERNATIONAL CONFERENCE ON DEPENDABLE SYSTEMS AND NETWORKS WORKSHOPS (DSN-W), 2016, : 162 - 167
  • [4] Adaptive Computing in Real-Time Applications
    Janssen, Benedikt
    Schwiegelshohn, Fynn
    Huebner, Michael
    2015 IEEE 13TH INTERNATIONAL NEW CIRCUITS AND SYSTEMS CONFERENCE (NEWCAS), 2015,
  • [5] A Real-Time Fog Computing Approach for Healthcare Environment
    Gomes, Eliza
    Dantas, M. A. R.
    Plentz, Patricia
    ADVANCES ON P2P, PARALLEL, GRID, CLOUD AND INTERNET COMPUTING, 3PGCIC-2018, 2019, 24 : 85 - 95
  • [6] Near real-time optimization of fog service placement for responsive edge computing
    Goethals, Tom
    De Turck, Filip
    Volckaert, Bruno
    JOURNAL OF CLOUD COMPUTING-ADVANCES SYSTEMS AND APPLICATIONS, 2020, 9 (01):
  • [7] Near real-time optimization of fog service placement for responsive edge computing
    Tom Goethals
    Filip De Turck
    Bruno Volckaert
    Journal of Cloud Computing, 9
  • [8] REAL-TIME COMPUTING
    TINHAM, B
    CONTROL AND INSTRUMENTATION, 1990, 22 (06): : 53 - &
  • [9] REAL-TIME COMPUTING
    STANKOVIC, JA
    BYTE, 1992, 17 (08): : 154 - &
  • [10] COMPUTING FOR REAL-TIME
    DICKINSON, W
    BREAME, A
    ELECTRONICS WORLD & WIRELESS WORLD, 1994, (1696): : 193 - 196