Automated mechanical equipment is adjusted as the production line changes with the manipulator. Through real-time equipment monitoring and management, it is ensured that the equipment runs and adjust at any time. Mode...
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As a clean energy technology that utilizes wind energy, the sail-assisted propulsion system can significantly reduce the fuel consumption and carbon dioxide emissions of ships. In order to solve the complex problem of...
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With the increasing demand for multimedia on the Internet, video technology has gradually become the mainstream of multimedia transmission on the Internet. In order to avoid overflow and underflow of buffer in transmi...
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This paper builds a network physical education system based on WEB services and SQL database. The architecture of the platform is divided into four levels: infrastructure, logic, support and distance learning platform...
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The paper describes architectural solutions of the computer-aideddesign (CAD) toolchain for highly automated vehicles (HAV) aimed at accelerating the design process, mass education in the field of self-driving techno...
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作者：
Rakov, DmitryPecheykina, Marina
Department of Technological Processes and Systems Control Moscow Russia
Department of Industrial Electronics Moscow Russia
The paper deals with Industry 4.0 as an information industry in which computersystems and networks are highly integrated with physical manufacturing processes. It includes the use of various technologies such as the ...
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This paper proposes a framework for the development of intelligent terminal system based on computer-aided creativity. The system combines virtual reality technology and Bezier curve algorithm to realize 3D visual des...
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Aiming at the longitudinal trajectory tracking control problem of fixed-wing UAVs, a basic controller is designed based on feedback linearization and model following control to achieve the stability of the closed-loop...
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Model predictive control (MPC) method has been widely used in the current control of three-phase voltage source inverters due to the parameters are easy to design, the fast dynamic response and it is convenient to app...
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Since cloud service providers adopt the sharing mode to improve the utilization of solid state drives (SSDs) and reduce management costs, fairness is a critical design consideration and has drawn great interest in rec...
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Since cloud service providers adopt the sharing mode to improve the utilization of solid state drives (SSDs) and reduce management costs, fairness is a critical design consideration and has drawn great interest in recent years. There are many methods to achieve fairness at the SSD device level, including cache-based resource allocation and queue rescheduling of transaction scheduling unit (TSU). However, poor locality data in cloud environments makes these methods of achieving fairness through the cache level invalid. In addition, existing fairness approaches at the TSU level treat flash memory as a black box and do not consider some characteristics of flash memory, leading to room for performance improvement. In this work, we propose a novel collaborative SSD fairness scheme, named a coordinated SSD cache and TSU fair scheme (CoFS), that achieves end-to-end full path fairness at the device level. A reinforcement learning-assisted fairness management scheme is designed to coordinate the SSD cache and TSU considering both the cache space and bandwidth resources which are significant for fairness control. The key idea is to enable the front-end SSD cache to achieve workload-level fairness by recognizing workload patterns, while the back-end TSU achieves flash-level fairness by sensing SSD internal status. Finally, CoFS collaborates with them to achieve SSD device-level fairness. In addition, we have designed a flexible reward function mechanism in the cache to balance different optimization objectives and augment TSU queue scheduling to adapt to different types of SSDs. Experimental results show that CoFS improves the overall fairness and performance by 30.8% to 56.7% and 42.1% to 98.7% in different scenarios.
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