مشخصات مقاله:
عنوان فارسی مقاله:
استراتژی انتقال رایانش ابری مشارکتی برای کاربردهای اینترنت اشیا صنعتی حساس به تاخیر در زمینه تولید هوشمند
عنوان انگلیسی مقاله:
Migration strategy of cloud collaborative computing for delay-sensitive industrial IoT applications in the context of intelligent manufacturing
کلمات کلیدی مقاله:
تولید هوشمند، اینترنت صنعتی اشیا، همکاری ابر، مهاجرت محاسباتی
کلمات کلیدی انگلیسی:
Intelligent manufacturing – Industrial Internet of Things – Cloud cooperation – Computing migration
مناسب برای رشته های دانشگاهی زیر:
مهندسی کامپیوتر
مناسب برای گرایش های دانشگاهی زیر:
رایانش ابری
وضعیت مقاله انگلیسی و ترجمه:
مقاله انگلیسی را میتوانید به صورت رایگان با فرمت PDF با کلیک بر روی دکمه آبی، دانلود نمایید. برای ثبت سفارش ترجمه نیز روی دکلمه قرمز رنگ کلیک نمایید. سفارش ترجمه نیازمند زمان بوده و ترجمه این مقاله آماده نمیباشد و پس از اتمام ترجمه، فایل ورد تایپ شده قابل دانلود خواهد بود.
فهرست مطالب:
Abstract
Keywords
1. Introduction
2. Industrial IoT architecture under the background of intelligent manufacturing
2.1. Traditional internet of things structure
2.2. Industrial IoT architecture in the context of intelligent manufacturing
2.3. Industrial IoT information exchange structure
3. Industrial IoT delay analysis
3.1. Industrial IoT performance requirements for data latency
3.2. Calculating network delay caused by migration
4. Cloud cooperation computing migration strategy selection
4.1. Cloud collaborative computing migration architecture
4.2. Calculating migration decision making
5. Optimal migration strategy selection based on task partitioning
5.1. Linear task partitioning model
5.2. Fine-grained directed acyclic graph-like task partitioning model
5.3. Simulation condition
5.4. Analysis of simulation results
6. Conclusions
CRediT authorship contribution statement
Declaration of Competing Interest
References
قسمتی از مقاله انگلیسی:
1. Introduction
In the history of mankind, it has experienced three industrial revolutions. Currently, it has entered the fourth industrial revolution (Industry 4.0). Its main feature is to make full use of Internet technology, database technology, embedded technology, wireless sensor network, machine learning and other multi-domain technologies to achieve the intelligent, remote measurement and control transformation of manufacturing. It is also known as the modern information technology era. Its core is ‘‘Internet of Things + Intelligent Manufacturing’’ [1]. The development of the new generation of information technology in the new century has promoted the process of informationization in the manufacturing industry, and triggered an industrial revolution centered on smart manufacturing on a global scale. Intelligent manufacturing workshops put forward higher requirements for the agile response speed of the production process and the high efficiency of management decisions. In the industrial wireless network system, various micro wireless sensor nodes are installed on the machine. Each sensor node typically contains sensors, wireless communication devices, micro-computing units, and power supplies. Sensors are used to collect various data such as temperature, humidity, pressure, and illumination. The wireless communication device is configured to send or receive a message, and the computing unit performs simple processing on the data collected or received by the computing unit. Finally, a sink node collects and analyzes the data from each sensor node. For a large industrial manufacturing process, it contains thousands of sensors. The amount of data summarized in the end is huge, and the amount of data processing and calculation brought by it is also a geometric growth of the process