2019/04/02 by Ida Syafiza Md Isa, Isa, Ida Syafiza M., Mohamed O. I. Musa +5
Computer Science · Engineering · #Cloud Computing and Resource Management #FOS: Computer and information sciences #Green IT and Sustainability #IoT and Edge/Fog Computing #Networking and Internet Architecture (cs.NI)
paper · pdf · doi:10.48550/arxiv.1904.01732
openalex publication_date 2019/04/02 · openalex created_date 2022/07/24 · openalex updated_date 2026/07/28
In this paper, we propose a resilient energy efficient and fog computing\ninfrastructure for health monitoring applications. We design the infrastructure\nto be resilient against server failures under two scenarios; without\ngeographical constraints and with geographical constraints. We consider a heart\nmonitoring application where patients send their 30-seconds recording of\nElectrocardiogram (ECG) signal for processing, analysis and decision making at\nboth primary and backup servers. A Mixed Integer Linear Programming (MILP)\nmodel is used to optimize the number and locations of the primary and backup\nprocessing servers so that the energy consumption of both the processing and\nnetworking equipment are minimized. The results show that considering\ngeographical constraints yields a network energy consumption increase by up to\n9% compared to without geographical constraint. The results also show that,\nincreasing the number of processing servers that can be served at each\ncandidate node can reduce the energy consumption of networking equipment\nbesides reducing the rate of energy increase of networking equipment due to\nincreasing level of demand.\n