A geographical-aware state deployment service for Fog Computing

被引:3
|
作者
Lima, Diogo [1 ,2 ]
Miranda, Hugo [2 ]
机构
[1] Escola Super Hotelaria & Turismo Estoril, Estoril, Portugal
[2] Univ Lisbon, Fac Ciencias, LASIGE, Lisbon, Portugal
关键词
Mobile distributed applications; Fog Computing; Geographical state deployment; Consistency; Lightweight groups; PLACEMENT; BROADCAST;
D O I
10.1016/j.comnet.2022.109208
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Today's distributed mobile applications assume a permanent network connectivity to mediate the interactions between a large number of users, coordinated by resourceful servers on cloud datacenters. Cloud-based distributed applications penalize performance with the unavoidable latency and jitter resulting from the geographical distance between clients and application servers. Fog Computing architectures mitigate this impact by deploying state fragments and providing computing power on surrogate servers, located at the network edge. Performance improves with the ability to deploy each fragment at the most convenient surrogate, and with efficient consistency procedures even when fragments at different locations are used. This paper presents a self-configuring geographical-aware state deployment service that combines a state deployment algorithm with a scalable distribution support framework.
引用
收藏
页数:17
相关论文
共 50 条
  • [31] Deadline Aware Data Offloading in Fog Computing
    Tsega, Addis
    Habtie, Ayalew Belay
    2022 IEEE/ACM 15TH INTERNATIONAL CONFERENCE ON UTILITY AND CLOUD COMPUTING, UCC, 2022, : 248 - 254
  • [32] SEFSD: an effective deployment algorithm for fog computing systems
    Chen, Huan
    Chang, Wei-Yan
    Chiu, Tai-Lin
    Chiang, Ming-Chao
    Tsai, Chun-Wei
    JOURNAL OF CLOUD COMPUTING-ADVANCES SYSTEMS AND APPLICATIONS, 2023, 12 (01):
  • [33] On the Deployment of Healthcare Applications over Fog Computing Infrastructure
    Akrivopoulos, Orestis
    Chatzigiannakis, Ioannis
    Tselios, Christos
    Antoniou, Athanasios
    2017 IEEE 41ST ANNUAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE (COMPSAC), VOL 2, 2017, : 288 - 293
  • [34] SEFSD: an effective deployment algorithm for fog computing systems
    Huan Chen
    Wei-Yan Chang
    Tai-Lin Chiu
    Ming-Chao Chiang
    Chun-Wei Tsai
    Journal of Cloud Computing, 12
  • [35] Multi-objective QoS-aware optimization for deployment of IoT applications on cloud and fog computing infrastructure
    Mirsaeid Hosseini Shirvani
    Yaser Ramzanpoor
    Neural Computing and Applications, 2023, 35 : 19581 - 19626
  • [36] Multi-objective QoS-aware optimization for deployment of IoT applications on cloud and fog computing infrastructure
    Hosseini Shirvani, Mirsaeid
    Ramzanpoor, Yaser
    NEURAL COMPUTING & APPLICATIONS, 2023, 35 (26): : 19581 - 19626
  • [37] QSFN: QoS-aware fog node provisioning in fog computing
    Chandak, Ashish Virendra
    Ray, Niranjan Kumar
    Puthal, Deepak
    INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY, 2022, 69 (01) : 36 - 46
  • [38] Towards delay-aware container-based Service Function Chaining in Fog Computing
    Santos, Jose
    Wauters, Tim
    Volckaert, Bruno
    De Turck, Filip
    NOMS 2020 - PROCEEDINGS OF THE 2020 IEEE/IFIP NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM 2020: MANAGEMENT IN THE AGE OF SOFTWARIZATION AND ARTIFICIAL INTELLIGENCE, 2020,
  • [39] Efficiency-Aware Dynamic Service Pricing Strategy for Geo-Distributed Fog Computing
    Xu, Jianwen
    Ota, Kaoru
    Dong, Mianxiong
    Pang, Ai-Chun
    IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING, 2022, 7 (04): : 814 - 824
  • [40] Autonomic Service Placement in Fog Computing
    Kayal, Paridhika
    Liebeherr, Jorg
    2019 IEEE 20TH INTERNATIONAL SYMPOSIUM ON A WORLD OF WIRELESS, MOBILE AND MULTIMEDIA NETWORKS (WOWMOM), 2019,