Strategy optimization of resource scheduling based on cluster rendering

Zhou, Qingyuan; Liu, Ranran

doi:10.1007/s10586-016-0655-9

Cited by 16 publications

(4 citation statements)

References 14 publications

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“…Different values feedback will be returned to players if they click on different objectives. The first time players enter the game, they will receive a hint about whether they choose a robot or not [20][21][22][23][24]. When loading levels, the robot will prompt the player to operate the next step and complete daily collection of energy.…”

Section: Game Design Featuresmentioning

confidence: 99%

Design of mobile augmented reality game based on image recognition

Zhang

2017

J Image Video Proc.

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The work studied a complete set of development system for mobile augmented reality game based on combination of AR technology and RTS game. An effective image recognition strategy was proposed through SIFT feature matching algorithm. Integrated with cloud image recognition module, the response speed of image recognition module was improved by eliminating error matching point. Through optimization of the scheme and existing technologies, the improved image recognition algorithm was applied to the game system, realizing RTS game system on mobile intelligent terminal. The experimental results showed that the proposed method meets the requirement of augmented reality system in terms of efficiency and accuracy. In addition, the demand of users for information expansion can be satisfied by the method to some extent, which is more applicable than traditional augmented reality.

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Section: Game Design Featuresmentioning

confidence: 99%

Design of mobile augmented reality game based on image recognition

Zhang

2017

J Image Video Proc.

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“…To sum up, the intelligent manufacturing is a sophisticated system. The system achieved a three‐dimensional model based on product development, resource management and command scheduling, as well as realized quality management, integrated control, and unified scheduling and allocation of resources . In intelligent manufacturing solutions, a variety of technologies can be applied, for example, large data, high‐ranking HMI, 3D molds and simulation, cloud computing, CPS, networking, machine‐to‐machine, and intelligence .…”

Section: Sdn Advantages and Compositionmentioning

confidence: 99%

“…The system achieved a three-dimensional model based on product development, resource management and command scheduling, as well as realized quality management, integrated control, and unified scheduling and allocation of resources. [13][14][15][16][17] In intelligent manufacturing solutions, a variety of technologies can be applied, for example, large data, high-ranking HMI, 3D molds and simulation, cloud computing, CPS, networking, machine-to-machine, and intelligence. 18 Therefore, intelligent manufacturing system must face large data, multi-path transmission, manufacturing production and scheduling, automation management, interface, and other issues.…”

Section: Sdn Advantages and Compositionmentioning

confidence: 99%

Modeling analysis of Intelligent Manufacturing System based on SDN

Bai

2017

Concurrency and Computation

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Summary Intelligent Manufacturing contains software composed fundamentally of computing, storage, and networking resources. Software‐defined network (SDN) is a new architecture of network. The separation of network control plane and network data forwarding plane and the realization of programmable control is the design concept of SDN. This paper analyzes the characteristics and meaning of intelligent manufacturing systems, which leads to problems facing the Intelligent Manufacturing System, and then dispersing the benefits of SDN. This made the combination of intelligent manufacturing systems SDN concept model. The article makes a deep research on Intelligent Manufacturing from the aspects of technical connotation, equipment model, etc.

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“…The unbalanced distribution of resource nodes during the job scheduling process of the cluster system causes low system resource utilization and lengthy job completion. Thus, job scheduling modeling and system parameter optimization have been conducted by several scholars to find an optimal job scheduling strategy [4]. Job scheduling strategy is related to the cluster system performance; an excellent job scheduling strategy can maximally reduce system resource competition and user cost, improve system resource utilization, and reduce job completion time.…”

Section: State Of the Artmentioning

confidence: 99%

A Novel Optimization Strategy for Job Scheduling based on Double Hierarchy

Zhao¹,

Gao²,

Zheng³

et al. 2017

JESTR

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At present, the high-performance cluster system has been widely applied to multitask and multiuser data processing procedures. However, computation loads can be influenced by the job scheduling optimization strategy (JSOS) of the cluster system, which can cause imbalance during job scheduling process, job starvation, and resource fragmentation. This situation can further result to problems, such as dissatisfactory resource utilization and lengthy job response, turnover, and completion times. First, a double hierarchical job scheduling model was proposed in this study to optimize the job scheduling strategy of the cluster system. Second, this study analyzed the hierarchical tasks in the scheduling model and the factors, namely, resource utilization and job completion time that influence them. The reasonability of the JSOS was also verified. Finally, the optimization strategy for job scheduling was compared with the first-come, firstserved (FCFS) and FirstFit strategies. Result shows that compared with FCFS and FirstFit strategies, the proposed job scheduling strategy increased resource utilization by 6.3% and 0.8%, and reduced average response time by 22.05% and 1.12%, average turnover time by 9.82% and 2.01%, and completion time by 10.45% and 1.11%, respectively. Thus, the proposed double hierarchical job scheduling strategy not only improves system resource utilization but also reduces job response, turnover and job completion times. The experimental result is consistent with the expected requirements, and the study provides a feasible scheme for the job scheduling optimization problem in the cluster system.

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Strategy optimization of resource scheduling based on cluster rendering

Cited by 16 publications

References 14 publications

Design of mobile augmented reality game based on image recognition

Design of mobile augmented reality game based on image recognition

Modeling analysis of Intelligent Manufacturing System based on SDN

A Novel Optimization Strategy for Job Scheduling based on Double Hierarchy

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