دورية أكاديمية

Amazon, Google and Microsoft Solutions for IoT: Architectures and a Performance Comparison

التفاصيل البيبلوغرافية
العنوان: Amazon, Google and Microsoft Solutions for IoT: Architectures and a Performance Comparison
المؤلفون: Paola Pierleoni, Roberto Concetti, Alberto Belli, Lorenzo Palma
المصدر: IEEE Access, Vol 8, Pp 5455-5470 (2020)
بيانات النشر: IEEE, 2020.
سنة النشر: 2020
المجموعة: LCC:Electrical engineering. Electronics. Nuclear engineering
مصطلحات موضوعية: AWS, Azure, Cloud Computing, Cloud-IoT, Google Cloud Platform, Internet of Things, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
الوصف: Internet of Things (IoT) aims to connect the real world made up of devices, sensors and actuators to the virtual world of Internet in order to interconnect devices with each other generating information from the gathered data. Devices, in general, have limited computational power and limited storage capacity. Cloud Computing (CC) has virtually unlimited capacity in terms of storage and computing power, and is based on sharing resources. Therefore, the integration between IoT and CC seems to be one of the most promising solutions. In fact, many of the biggest companies that offer Cloud Services are focusing on the IoT world to offer services also in this direction to their users. In this paper we compare the three main Cloud Platforms (Amazon Web Services, Google Cloud Platform and Microsoft Azure) regarding to the services made available for the IoT. After describing the typical architecture of an IoT application, we map the Cloud-IoT Platforms services with this architecture analyzing the key points for each platform. At the same time, in order to conduct a comparative analysis of performance, we focus on a service made available by all platforms (MQTT middleware) building the reference scenarios and the metrics to be taken into account. Finally, we provide an overview of platform costs based on different loads. The aim is not to declare a winner, but to provide a useful tool to developers to make an informed choice of a platform depending on the use case.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2169-3536
Relation: https://ieeexplore.ieee.org/document/8938723/; https://doaj.org/toc/2169-3536
DOI: 10.1109/ACCESS.2019.2961511
URL الوصول: https://doaj.org/article/b74897efec804f1ab875edf0fd427d12
رقم الأكسشن: edsdoj.b74897efec804f1ab875edf0fd427d12
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:21693536
DOI:10.1109/ACCESS.2019.2961511