The Experts below are selected from a list of 89487 Experts worldwide ranked by ideXlab platform

Luca Deri - One of the best experts on this subject based on the ideXlab platform.

  • ncap wire speed packet capture and transmission
    Workshop on End-to-End Monitoring Techniques and Services 2005., 2005
    Co-Authors: Luca Deri
    Abstract:

    With the increasing Network speed, it is no longer possible to capture and transmit Network packets at wire-speed using general-purpose operating systems. Many companies tried to tackle this problem by manufacturing costly Network adapters able to keep up at high Network speeds. This paper describes a new approach to wire-speed packet capture and transmission named nCap based on Commercial Network adapters rather than on custom Network adapters and software.

  • E2EMON - nCap: wire-speed packet capture and transmission
    Workshop on End-to-End Monitoring Techniques and Services 2005., 1
    Co-Authors: Luca Deri
    Abstract:

    With the increasing Network speed, it is no longer possible to capture and transmit Network packets at wire-speed using general-purpose operating systems. Many companies tried to tackle this problem by manufacturing costly Network adapters able to keep up at high Network speeds. This paper describes a new approach to wire-speed packet capture and transmission named nCap based on Commercial Network adapters rather than on custom Network adapters and software.

Wonyong Yoon - One of the best experts on this subject based on the ideXlab platform.

  • Characterizing Multi-radio Energy Consumption in Cellular/Wi-Fi Smartphones
    International Journal of Electrical and Computer Engineering (IJECE), 2016
    Co-Authors: Zuhaibuddin Bhutto, Junhyuk Park, Wonyong Yoon
    Abstract:

    Cellular Networks evolved to meet the ever increasing traffic demand by way of offloading mobile traffic to Wi-Fi Network elements. Exploiting multi-radio interfaces on a smartphone has recently been examined with regards to heterogeneous bandwidth aggregation and radio switching. However, how a smartphone consumes its energy in driving cellular and Wi-Fi multi-radio interfaces, is not well understood. In this paper, we revealed the energy consumption behavior of 3G cellular and Wi-Fi multi-radio operations of a smartphone. We modified smartphone’s firmware to enable multi-radios operations simultaneously and we performed extensive measurements of multi-radio energy consumption in a real Commercial Network. From the measured data set, we established a realistic multi-radio energy consumption model and it gave 98% stability from the derived coefficients. Full Text: PDF DOI: http://dx.doi.org/10.11591/ijece.v6i6.11916

  • Characterizing Multi-radio Energy Consumption in Cellular/Wi-Fi Smartphones
    International Journal of Electrical and Computer Engineering (IJECE), 2016
    Co-Authors: Zuhaibuddin Bhutto, Junhyuk Park, Wonyong Yoon
    Abstract:

    <p>Cellular Networks evolved to meet the ever increasing traffic demand by way of offloading mobile traffic to Wi-Fi Network elements. Exploiting multi-radio interfaces on a smartphone has recently been examined with regards to heterogeneous bandwidth aggregation and radio switching. However, how a smartphone consumes its energy in driving cellular and Wi-Fi multi-radio interfaces, is not well understood. In this paper, we revealed the energy consumption behavior of 3G cellular and Wi-Fi multi-radio operations of a smartphone. We modified smartphone’s firmware to enable multi-radios operations simultaneously and we performed extensive measurements of multi-radio energy consumption in a real Commercial Network. From the measured data set, we established a realistic multi-radio energy consumption model and it gave 98% stability from the derived coefficients.</p>

N.a. Sokolov - One of the best experts on this subject based on the ideXlab platform.

  • Development of the urban and rural transmission Networks in Russia
    IEEE Journal on Selected Areas in Communications, 1994
    Co-Authors: B.z. Berlin, N.a. Sokolov
    Abstract:

    The paper describes the main characteristics of the transmission Networks that are used in the urban and rural areas. Existing principles of the urban and rural transmission Networks' creation are given. The subscriber transmission Network is considered. The St. Petersburg transmission Network is analyzed as an example of an urban transmission facility. Aspects related to Commercial Network creation are briefly discussed. >

Luca Zanderighi - One of the best experts on this subject based on the ideXlab platform.

  • Coalition loyalty-programme adoption and urban Commercial-Network effectiveness evaluation
    International Journal of Retail & Distribution Management, 2014
    Co-Authors: Ivan De Noni, Luigi Orsi, Luca Zanderighi
    Abstract:

    Purpose – To counter the proliferation of out-of-town shopping centres, a spontaneous or planned coalition loyalty programme (CLP), one involving most retailers in an urban Network, may positively affect a town centre's capacity to entice customers and may enhance its competitiveness. The purpose of this paper is to assess the effectiveness of CLP implementation in town-centre management (TCM) as a tool for enhancing urban Commercial-system attractiveness. Design/methodology/approach – The theoretical framework used in this study is supported by the evaluation methodologies of an empirical case study: the Savigliano Card project. CLP performance analysis uses a dynamic Network-competitiveness index, an approach based on Laspeyres-type decomposition. The effects on each retailer's profitability are then tested by matching Network and regression analyses. Findings – The results suggest that CLPs implementation in a TCM scheme can produce benefits and positive externalities for customers, retailers and urban...

Zuhaibuddin Bhutto - One of the best experts on this subject based on the ideXlab platform.

  • Characterizing Multi-radio Energy Consumption in Cellular/Wi-Fi Smartphones
    International Journal of Electrical and Computer Engineering (IJECE), 2016
    Co-Authors: Zuhaibuddin Bhutto, Junhyuk Park, Wonyong Yoon
    Abstract:

    Cellular Networks evolved to meet the ever increasing traffic demand by way of offloading mobile traffic to Wi-Fi Network elements. Exploiting multi-radio interfaces on a smartphone has recently been examined with regards to heterogeneous bandwidth aggregation and radio switching. However, how a smartphone consumes its energy in driving cellular and Wi-Fi multi-radio interfaces, is not well understood. In this paper, we revealed the energy consumption behavior of 3G cellular and Wi-Fi multi-radio operations of a smartphone. We modified smartphone’s firmware to enable multi-radios operations simultaneously and we performed extensive measurements of multi-radio energy consumption in a real Commercial Network. From the measured data set, we established a realistic multi-radio energy consumption model and it gave 98% stability from the derived coefficients. Full Text: PDF DOI: http://dx.doi.org/10.11591/ijece.v6i6.11916

  • Characterizing Multi-radio Energy Consumption in Cellular/Wi-Fi Smartphones
    International Journal of Electrical and Computer Engineering (IJECE), 2016
    Co-Authors: Zuhaibuddin Bhutto, Junhyuk Park, Wonyong Yoon
    Abstract:

    <p>Cellular Networks evolved to meet the ever increasing traffic demand by way of offloading mobile traffic to Wi-Fi Network elements. Exploiting multi-radio interfaces on a smartphone has recently been examined with regards to heterogeneous bandwidth aggregation and radio switching. However, how a smartphone consumes its energy in driving cellular and Wi-Fi multi-radio interfaces, is not well understood. In this paper, we revealed the energy consumption behavior of 3G cellular and Wi-Fi multi-radio operations of a smartphone. We modified smartphone’s firmware to enable multi-radios operations simultaneously and we performed extensive measurements of multi-radio energy consumption in a real Commercial Network. From the measured data set, we established a realistic multi-radio energy consumption model and it gave 98% stability from the derived coefficients.</p>