دانلود مقاله مروری بر محاسبات مه و شبیه ساز آن
چکیده
مقدمه
مطالعه مرتبط
شبیه سازهای رایانش مه
نتیجه گیری
منابع
Abstract
Introduction
Related Study
Fog Computing Simulators
Conclusion
References
چکیده
محاسبات مه به عنوان توزیع منابع محاسباتی بین دستگاه های داده و ابر یا هر مرکز داده دیگری در یک زیرساخت یا فرآیند محاسباتی توزیع شده تعریف می شود. این مقاله به طور خلاصه تعاریف مختلف، کاربردها، معماری و شبیه سازهای مه ارائه شده توسط محققان را در طول سال ها مرور می کند. در این مقاله، جدول مقایسه ای ارائه شده است که ویژگی های کلیدی شبیه سازهای موجود مانند FogtorchII، iFogSim، Fogbus، MyiFogSim و غیره را برجسته می کند.
توجه! این متن ترجمه ماشینی بوده و توسط مترجمین ای ترجمه، ترجمه نشده است.
Abstract
Fog computing is defined as the distribution of computing resources between the data devices and the cloud or any other data centre in a distributed computing infrastructure or process. This paper briefly reviews the various definitions, applications, architecture and fog simulators proposed by researchers over the years. In this paper, a comparison table is presented which highlights the key features of simulators available like FogtorchII, iFogSim, Fogbus, MyiFogSim etc.
Introduction
The Internet of Things (IoT) idea promises to connect “things” to the Internet, such as material things with sensors and/or tags, mobile components like cellphones and vehicles, consumer electrical devices and household appliances like freezers, televisions, and medical devices. Sensor data from these objects is retrieved, gathered, and interpreted at public/ private clouds in cloud-centric IoT applications, resulting in considerable latencies. Fog computing addresses this issue in the development of realtime IoT applications by utilising proximity-based processing resources across
Conclusion
Depending on the application, a fog computing framework may have a range of components and services. Computing portals that receive data from the data source, as well as various collection terminals such as routers and switches that connect assets inside a network, are examples. In this paper, we critically reviewed the various fog simulators proposed by researchers over the years like iFogSim, FogWorkflowSim, MyiFogSim, FogBus. In our review, we also compared these simulators on the basis of infrastructure and availability and limitations. The comparison proposed in the paper can be useful for upcoming research work in the area of cloud computing, IOT and fog computing.