EDGEmergency: A Cloud-Edge Platform to Enable Pervasive Computing for Disaster Management

被引:0
作者
Colosi, Mario [1 ,2 ]
Garofalo, Marco [1 ,3 ]
Carnevale, Lorenzo [1 ]
Marino, Roberto [1 ]
Fazio, Maria [1 ]
Villari, Massimo [1 ]
机构
[1] Univ Messina, Messina, Italy
[2] Alma Digit SRL, Messina, Italy
[3] Univ Pisa, Pisa, Italy
来源
PROCEEDINGS OF THE IEEE/ACM 10TH INTERNATIONAL CONFERENCE ON BIG DATA COMPUTING, APPLICATIONS AND TECHNOLOGIES, BDCAT 2023 | 2023年
关键词
Disaster Management; Pervasive Computing; Urgent Computing; Edge Computing; Cloud-Edge-Client Continuum; Virtual Pod;
D O I
10.1145/3632366.3632372
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
EDGEmergency is a platform designed for disaster management that can dynamically leverage the edge infrastructure potentially already present within the emergency perimeter. Edge devices, from IoT to smartphones, possess an increasingly significant computational capacity that can be exploited, by changing their behavior in real-time and creating a pervasive local environment, capable of adapting perfectly to the specific context of reference. EDGEmergency, in fact, allows the creation of a unified computation environment leveraging the Cloud-Edge-Client Continuum concept, through which a computation cluster with zero configurations is created on-the-fly. The platform thus allows the deployment of distributed microservices on existing edge devices, installed by default for other purposes, through a modular and incremental logic that has the role of adapting best to the needs of the individual emergency, through advanced tools for analysis and monitoring, using artificial intelligence.
引用
收藏
页数:4
相关论文
共 9 条
[1]  
Agrawal T., 2021, 2021 INT C INN COMP, P1
[2]  
Anuradha B., 2022, 2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS), P1908, DOI 10.1109/ICACCS54159.2022.9785121
[3]   Towards a methodology for building dynamic urgent applications on continuum computing platforms [J].
Balouek-Thomert, Daniel ;
Caron, Eddy ;
Lefevre, Laurent ;
Parashar, Manish .
2022 FIRST COMBINED INTERNATIONAL WORKSHOP ON INTERACTIVE URGENT SUPERCOMPUTING (CIW-IUS), 2022, :25-30
[4]  
Bandung Y, 2020, 2020 INT C ICT SMART, P1
[5]  
Brown N, 2022, 2022 1 COMB INT WORK, P1
[6]  
Leong SH, 2015, INT CONF INFORM COMM, P207, DOI 10.1109/ICT-DM.2015.7402035
[7]   Artificial Intelligence for Natural Disaster Management [J].
Pang, Guansong .
IEEE INTELLIGENT SYSTEMS, 2022, 37 (06) :3-6
[8]  
Sicari C., 2023, 2023 IEEE S COMP COM, P1
[9]   Efficient Device-Edge Inference for Disaster Classification [J].
Yang, Nathaniel Tan Sze ;
Tham, Mau-Luen ;
Chua, Sing Yee ;
Lee, Ying Loong ;
Owada, Yasunori ;
Poomrittigul, Suvit .
2022 THIRTEENTH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS (ICUFN), 2022, :314-319