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In the cloud computing environment, how to schedule tasks efficiently according to users' service requirements and improve the quality of service have become a hot research topic. Based on the research of independent task scheduling model and AMM algorithm (Average Minus Minimum), a new PAW(Priority, AMM and Weight)algorithm combined with Priority, AMM and Weight is proposed. Through quantifying task...
Cloud computing has become an increasingly popular topic in recent years. It has provided alternatives for designing and implementing robot or intelligent space platform. Compared with traditional approaches where users purchase a robot and manage its own hardware or software on an ongoing basis. While researchers wish to transform their computing resources infrastructure into cloud, whether as virtual...
In order to develop a cloud computing platform which provides a compute cluster built with commodity hardware exposing some robotic algorithms and share data co-operatively across the robotic ecosystem. This paper proposes a computing platform that provides the scalability and parallelism advantages of cloud computing for service robots in actual environments. The platform is implemented such a system...
This paper presents a new method for target tracking based on cloud robot in intelligent space. First, a multi-level information fusion structure using the distributed data fusion tree is designed to realize the real-time target and robot localization. A modified A∗ weighting algorithm is employed to conduct path planning on dynamic danger degrees map for searching target. Due to uncertain transform...
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