An energy harvesting solution for computation offloading in Fog Computing networks

被引:21
作者
Bozorgchenani, Arash [1 ]
Disabato, Simone [2 ]
Tarchi, Daniele [1 ]
Roveri, Manuel [2 ]
机构
[1] Univ Bologna, Dept Elect Elect & Informat Engn, Bologna, Italy
[2] Politecn Milan, Dipartimento Elettron Informaz & Bioingn, Milan, Italy
关键词
Fog Computing; Energy harvesting; Computation offloading; Clustering; Internet of Things; RESOURCE-ALLOCATION; IOT; CLOUD; ARCHITECTURE; MANAGEMENT;
D O I
10.1016/j.comcom.2020.06.032
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Fog Computing is a promising networking paradigm enabling the nodes at the edge to share computational and storage resources. Being pervasively distributed, Fog Nodes are often battery powered and, for this reason, an efficient energy management should be considered to prolong network lifetime. In this paper, we introduce a smart energy management solution able to exploit information about the predicted harvested and consumed energy by Fog Nodes, equipped with small solar panels. The smart energy management is applied on a cluster based Fog Computing environment where computation offloading operations are performed. In the experimental section the effect of the smart energy management is explored in terms of network lifetime by considering variable battery size and Fog Nodes density in a realistic solar-panel harvesting-model and Fog Nodes setting.
引用
收藏
页码:577 / 587
页数:11
相关论文
共 43 条
  • [1] Efficient resource management and workload allocation in fog-cloud computing paradigm in IoT using learning classifier systems
    Abbasi, Mahdi
    Yaghoobikia, Mina
    Rafiee, Milad
    Jolfaei, Alireza
    Khosravi, Mohammad R.
    [J]. COMPUTER COMMUNICATIONS, 2020, 153 (153) : 217 - 228
  • [2] A High-Frequency Sampling Monitoring System for Environmental and Structural Applications
    Alippi, Cesare
    Camplani, Romolo
    Galperti, Cristian
    Marullo, Antonio
    Roveri, Manuel
    [J]. ACM TRANSACTIONS ON SENSOR NETWORKS, 2013, 9 (04)
  • [3] A Robust, Adaptive, Solar-Powered WSN Framework for Aquatic Environmental Monitoring
    Alippi, Cesare
    Camplani, Romolo
    Galperti, Cristian
    Roveri, Manuel
    [J]. IEEE SENSORS JOURNAL, 2011, 11 (01) : 45 - 55
  • [4] The Need of Multidisciplinary Approaches and Engineering Tools for the Development and Implementation of the Smart City Paradigm
    Andrisano, Oreste
    Bartolini, Ilaria
    Bellavista, Paolo
    Boeri, Andrea
    Bononi, Luciano
    Borghetti, Alberto
    Brath, Armando
    Corazza, Giovanni Emanuele
    Corradi, Antonio
    de Miranda, Stefano
    Fava, Fabio
    Foschini, Luca
    Leoni, Giovanni
    Longo, Danila
    Milano, Michela
    Napolitano, Fabio
    Nucci, Carlo Alberto
    Pasolini, Gianni
    Patella, Marco
    Cinotti, Tullio Salmon
    Tarchi, Daniele
    Ubertini, Francesco
    Vigo, Daniele
    [J]. PROCEEDINGS OF THE IEEE, 2018, 106 (04) : 738 - 760
  • [5] [Anonymous], 2019, ATL IT RAD SOL
  • [6] Mobile Edge Computing Resources Optimization: A Geo-Clustering Approach
    Bouet, Mathieu
    Conan, Vania
    [J]. IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2018, 15 (02): : 787 - 796
  • [7] Multi-Objective Computation Sharing in Energy and Delay Constrained Mobile Edge Computing Environments
    Bozorgchenani, Arash
    Mashhadi, Farshad
    Tarchi, Daniele
    Monroy, Sergio A. Salinas
    [J]. IEEE TRANSACTIONS ON MOBILE COMPUTING, 2021, 20 (10) : 2992 - 3005
  • [8] Centralized and Distributed Architectures for Energy and Delay Efficient Fog Network-Based Edge Computing Services
    Bozorgchenani, Arash
    Tarchi, Daniele
    Corazza, Giovanni Emanuele
    [J]. IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING, 2019, 3 (01): : 250 - 263
  • [9] Bozorgchenani A, 2017, INT SYM WIRELESS COM, P390, DOI 10.1109/ISWCS.2017.8108146
  • [10] Fog and IoT: An Overview of Research Opportunities
    Chiang, Mung
    Zhang, Tao
    [J]. IEEE INTERNET OF THINGS JOURNAL, 2016, 3 (06): : 854 - 864