The Experts below are selected from a list of 1891659 Experts worldwide ranked by ideXlab platform

Wang Bing-qian - One of the best experts on this subject based on the ideXlab platform.

Vahid Meghdadi - One of the best experts on this subject based on the ideXlab platform.

Mark W. Spong - One of the best experts on this subject based on the ideXlab platform.

  • Experimental Comparison Study of Control Architectures for Bilateral Teleoperators
    IEEE Transactions on Robotics, 2009
    Co-Authors: Erick J. Rodriguez-seda, Dongjun Lee, Mark W. Spong
    Abstract:

    A detailed experimental Comparison Study of several published algorithms for motion and force control of bilateral teleoperators, with emphasis on Internet-based teleoperation, is presented. The Study investigates the effects of data losses, communication delays, and environmental constraints on a teleoperation system for different control techniques, which are based on wave variables, Smith predictors, and recent algorithms on synchronization. The controllers are compared on stability, transparency, and complexity using two identical nonlinear robots coupled via a stochastic network model that allowed transmission round-trip delays and data-loss rates to range from 8 to 1088 ms and 0% to 50%, respectively. A total of 18 subjects, which were distributed among 26 experiments with the aims of regulating the effects of the operators learning process and dynamic properties, participated in this Study. Overall, the Comparison Study reports a deteriorating effect in the performance (i.e., larger position errors and lower fidelity of contact information) from delays and data losses. Yet, the effect of data losses is less critical when compared with time delays. In addition, the preference for a particular control framework is shown to strongly depend on the operational conditions of the system, such as the characteristics of the coupling channel, the specifics of the remote task, and the computational capabilities of the manipulators.

Mingwei Xu - One of the best experts on this subject based on the ideXlab platform.

  • A Comparison Study of Energy Proportionality of Data Center Network Architectures
    2012 32nd International Conference on Distributed Computing Systems Workshops, 2012
    Co-Authors: Mingwei Xu
    Abstract:

    Today's data center networks consume a great amount of energy, which significantly aggravates the operational cost of data centers and the carbon footprint. It is an ideal objective for operators to make the power consumption of data center networks proportional to the amount of network loads they carry. To this end, many recent researches are focusing on two representative methods: device-level sleeping technology and network-wide energy aware routing. It is important for operators to understand what effects these energy conservation methods have on improving the network energy proportionality. In the paper, we make a Comparison Study on the energy proportionality of data center networks, based on regular routing and energy-aware routing. Specifically, we first choose several typical data center network architectures and equalize their network performance. Afterwards, we analyze the maximum power consumption of data center networks without using any energy conservation strategy, and compare their energy proportionality when employing the sleeping technology and energy-aware routing respectively.

Yunfei Shang - One of the best experts on this subject based on the ideXlab platform.

  • ICDCS Workshops - A Comparison Study of Energy Proportionality of Data Center Network Architectures
    2012 32nd International Conference on Distributed Computing Systems Workshops, 2012
    Co-Authors: Yunfei Shang
    Abstract:

    Today's data center networks consume a great amount of energy, which significantly aggravates the operational cost of data centers and the carbon footprint. It is an ideal objective for operators to make the power consumption of data center networks proportional to the amount of network loads they carry. To this end, many recent researches are focusing on two representative methods: device-level sleeping technology and network-wide energy aware routing. It is important for operators to understand what effects these energy conservation methods have on improving the network energy proportionality. In the paper, we make a Comparison Study on the energy proportionality of data center networks, based on regular routing and energy-aware routing. Specifically, we first choose several typical data center network architectures and equalize their network performance. Afterwards, we analyze the maximum power consumption of data center networks without using any energy conservation strategy, and compare their energy proportionality when employing the sleeping technology and energy-aware routing respectively.