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Subir Biswas - One of the best experts on this subject based on the ideXlab platform.

  • MASS - Mobility-Aware Cooperative Content Caching in Social Wireless Networks
    2011 IEEE Eighth International Conference on Mobile Ad-Hoc and Sensor Systems, 2011
    Co-Authors: Mahmoud Taghizadeh, Subir Biswas
    Abstract:

    This paper presents a conceptual framework of mobility-aware cooperative caching for minimizing electronic content provisioning cost in Mobile Social Wireless Networks (MSWNET). The MSWNETs are formed by wireless mobile devices sharing common interests in electronic content, and physically gathering in various public settings such as University campuses, work places, malls, and airports. Cooperative caching in such MSWNETs are shown to be able to reduce the content provisioning cost which depends heavily on the Service and pricing dependencies among various stakeholders including the content Provider, the Network Service Provider, and the end consumers. This paper first develops practical Network, search, and pricing models which are then used for creating an optimal cooperative caching strategy for static Networks. In addition to proving its optimality for the static case, the paper constructs analytical models, simulation, and prototype experiments for evaluating the performance of the proposed strategy. Building on the static case, the paper then develops a mobility analysis technique and demonstrates the applicability of the proposed scheme in the presence of user mobility.

  • COMSNETS - Minimizing content provisioning cost in heterogeneous Social Wireless Networks
    2011 Third International Conference on Communication Systems and Networks (COMSNETS 2011), 2011
    Co-Authors: Mahmoud Taghizadeh, Subir Biswas
    Abstract:

    This paper introduces an optimal cooperative caching policy for minimizing electronic content provisioning cost in Social Wireless Networks (SWNET). The SWNETs are typically formed by a collection of mobile devices, such as data enabled phones, net-books, electronic book readers etc., sharing common interests in electronic content, and physically gathering in settings such as University campuses, work places, malls, airports, train stations and other public places. Electronic object caching in such SWNETs are shown to be able to reduce the content provisioning cost which depends heavily on the Service and pricing dependencies among various stakeholders including the content Provider, the Network Service Provider, and the end consumers. Drawing motivation from Amazon's Kindle electronic book delivery business, this paper develops practical Network, Service, and pricing models which are then used for creating two optimal caching strategies, namely Split Cache and Distributed Benefit for minimizing content provisioning costs in Networks with homogenous and heterogeneous object demands. In addition to proving the optimality of the mechanisms, the paper constructs extensive analytical and simulation models for analyzing the proposed caching strategies and their optimal operating points.

  • GLOBECOM - Towards Optimal Cooperative Caching in Social Wireless Networks
    2010 IEEE Global Telecommunications Conference GLOBECOM 2010, 2010
    Co-Authors: Mahmoud Taghizadeh, Anthony Plummer, Ali Aqel, Subir Biswas
    Abstract:

    This paper introduces an optimal cooperative caching policy for minimizing electronic content provisioning cost in Social Wireless Networks (SWNETs). The SWNETs are typically formed by a collection of mobile devices, such as data enabled phones, net-books, electronic book readers etc., sharing common interests in electronic content, and physically gathering in settings such as University campuses, work places, malls, airports, train stations and other public places. Electronic object caching in such SWNETs are shown to be able to reduce the content provisioning cost which depends heavily on the Service and pricing dependencies among various stakeholders including the content Provider, the Network Service Provider, and the end consumers. Drawing motivation from Amazon''s Kindle electronic book delivery business, this paper develops a practical Network, Service, and pricing model which are then used for creating the proposed optimal caching strategy. In addition to proving the optimality of the mechanism, the paper constructs extensive analytical and simulation models for analyzing the proposed caching strategy and its optimal operating points for the mobile ecosystem stakeholders.

Vijay V Vazirani - One of the best experts on this subject based on the ideXlab platform.

  • price of anarchy locality gap and a Network Service Provider game
    Workshop on Internet and Network Economics, 2005
    Co-Authors: Nikhil R Devanur, Naveen Garg, Rohit Khandekar, Vinayaka Pandit, Amin Saberi, Vijay V Vazirani
    Abstract:

    In this paper, we define a Network Service Provider game. We show that the price of anarchy of the defined game can be bounded by analyzing a local search heuristic for a related facility location problem called the k-facility location problem. As a result, we show that the k-facility location problem has a locality gap of 5. This result is of interest on its own. Our result gives evidence to the belief that the price of anarchy of certain games are related to analysis of local search heuristics.

  • WINE - Price of anarchy, locality gap, and a Network Service Provider game
    Lecture Notes in Computer Science, 2005
    Co-Authors: Nikhil R Devanur, Naveen Garg, Rohit Khandekar, Vinayaka Pandit, Amin Saberi, Vijay V Vazirani
    Abstract:

    In this paper, we define a Network Service Provider game. We show that the price of anarchy of the defined game can be bounded by analyzing a local search heuristic for a related facility location problem called the k-facility location problem. As a result, we show that the k-facility location problem has a locality gap of 5. This result is of interest on its own. Our result gives evidence to the belief that the price of anarchy of certain games are related to analysis of local search heuristics.

Mahmoud Taghizadeh - One of the best experts on this subject based on the ideXlab platform.

  • MASS - Mobility-Aware Cooperative Content Caching in Social Wireless Networks
    2011 IEEE Eighth International Conference on Mobile Ad-Hoc and Sensor Systems, 2011
    Co-Authors: Mahmoud Taghizadeh, Subir Biswas
    Abstract:

    This paper presents a conceptual framework of mobility-aware cooperative caching for minimizing electronic content provisioning cost in Mobile Social Wireless Networks (MSWNET). The MSWNETs are formed by wireless mobile devices sharing common interests in electronic content, and physically gathering in various public settings such as University campuses, work places, malls, and airports. Cooperative caching in such MSWNETs are shown to be able to reduce the content provisioning cost which depends heavily on the Service and pricing dependencies among various stakeholders including the content Provider, the Network Service Provider, and the end consumers. This paper first develops practical Network, search, and pricing models which are then used for creating an optimal cooperative caching strategy for static Networks. In addition to proving its optimality for the static case, the paper constructs analytical models, simulation, and prototype experiments for evaluating the performance of the proposed strategy. Building on the static case, the paper then develops a mobility analysis technique and demonstrates the applicability of the proposed scheme in the presence of user mobility.

  • COMSNETS - Minimizing content provisioning cost in heterogeneous Social Wireless Networks
    2011 Third International Conference on Communication Systems and Networks (COMSNETS 2011), 2011
    Co-Authors: Mahmoud Taghizadeh, Subir Biswas
    Abstract:

    This paper introduces an optimal cooperative caching policy for minimizing electronic content provisioning cost in Social Wireless Networks (SWNET). The SWNETs are typically formed by a collection of mobile devices, such as data enabled phones, net-books, electronic book readers etc., sharing common interests in electronic content, and physically gathering in settings such as University campuses, work places, malls, airports, train stations and other public places. Electronic object caching in such SWNETs are shown to be able to reduce the content provisioning cost which depends heavily on the Service and pricing dependencies among various stakeholders including the content Provider, the Network Service Provider, and the end consumers. Drawing motivation from Amazon's Kindle electronic book delivery business, this paper develops practical Network, Service, and pricing models which are then used for creating two optimal caching strategies, namely Split Cache and Distributed Benefit for minimizing content provisioning costs in Networks with homogenous and heterogeneous object demands. In addition to proving the optimality of the mechanisms, the paper constructs extensive analytical and simulation models for analyzing the proposed caching strategies and their optimal operating points.

  • GLOBECOM - Towards Optimal Cooperative Caching in Social Wireless Networks
    2010 IEEE Global Telecommunications Conference GLOBECOM 2010, 2010
    Co-Authors: Mahmoud Taghizadeh, Anthony Plummer, Ali Aqel, Subir Biswas
    Abstract:

    This paper introduces an optimal cooperative caching policy for minimizing electronic content provisioning cost in Social Wireless Networks (SWNETs). The SWNETs are typically formed by a collection of mobile devices, such as data enabled phones, net-books, electronic book readers etc., sharing common interests in electronic content, and physically gathering in settings such as University campuses, work places, malls, airports, train stations and other public places. Electronic object caching in such SWNETs are shown to be able to reduce the content provisioning cost which depends heavily on the Service and pricing dependencies among various stakeholders including the content Provider, the Network Service Provider, and the end consumers. Drawing motivation from Amazon''s Kindle electronic book delivery business, this paper develops a practical Network, Service, and pricing model which are then used for creating the proposed optimal caching strategy. In addition to proving the optimality of the mechanism, the paper constructs extensive analytical and simulation models for analyzing the proposed caching strategy and its optimal operating points for the mobile ecosystem stakeholders.

Edward Chlebus - One of the best experts on this subject based on the ideXlab platform.

  • Characterization of user activity and traffic in a commercial nationwide Wi-Fi hotspot Network: global and individual metrics
    Wireless Networks, 2013
    Co-Authors: Gautam Divgi, Edward Chlebus
    Abstract:

    This paper presents the characterization of a commercial nationwide Wi-Fi hotspot Network. We examine a 5 month long log of user activity and traffic volume collected by a wireless Network Service Provider operating hotspots in restaurants, Serviced apartments, hotels and airports all over Australia. We categorize users based on their account time limits to analyze the impact of account stratification on the overall user behavior. A similarity index is developed to compare two datasets of unknown distributions which we then use to quantitatively compare how similar or different various types of accounts are. The user population of the Network is found to be highly fluctuating, hence user specific, population independent metrics are proposed to account for this transience. We also introduce metrics to measure account time and data utilization. Key user and traffic statistics are presented for reference.

  • user and traffic characteristics of a commercial nationwide wi fi hotspot Network
    Personal Indoor and Mobile Radio Communications, 2007
    Co-Authors: Gautam Divgi, Edward Chlebus
    Abstract:

    This paper presents the first analysis of user and traffic characteristics in a commercial nationwide Wi-Fi hotspot Network. We examine a five month long log of user activity and traffic collected by a wireless Network Service Provider operating hotspots in cafes, restaurants, Serviced apartments, hotels and airports all over Australia. We analyze traffic, user activity, user sessions and account usage. Several differences from previously studied Wi-Fi Networks are observed and can be attributed to the user diversity and the commercial nature of the Network. Key traffic and user statistics from the Network are presented for reference.

Lajos Hanzo - One of the best experts on this subject based on the ideXlab platform.

  • Pricing and resource allocation via game theory for a small-cell video caching system
    IEEE Journal on Selected Areas in Communications, 2016
    Co-Authors: Jun Li, Zihuai Lin, Youjia Chen, Branka Vucetic, He Chen, Lajos Hanzo
    Abstract:

    Evidence indicates that downloading on-demand videos accounts for a dramatic increase in data traffic over cellular Networks. Caching popular videos in the storage of small-cell base stations (SBS), namely, small-cell caching, is an efficient technology for reducing the transmission latency whilst mitigating the redundant transmissions of popular videos over back-haul channels. In this paper, we consider a commercialized small-cell caching system consisting of a Network Service Provider (NSP), several video retailers (VR), and mobile users (MU). The NSP leases its SBSs to the VRs for the purpose of making profits, and the VRs, after storing popular videos in the rented SBSs, can provide faster local video transmissions to the MUs, thereby gaining more profits. We conceive this system within the framework of Stackelberg game by treating the SBSs as a specific type of resources. We first model the MUs and SBSs as two independent Poisson point processes, and develop, via stochastic geometry theory, the probability of the specific event that an MU obtains the video of its choice directly from the memory of an SBS. Then, based on the probability derived, we formulate a Stackelberg game to jointly maximize the average profit of both the NSP and the VRs. Also, we investigate the Stackelberg equilibrium by solving a non-convex optimization problem. With the aid of this game theoretic framework, we shed light on the relationship between four important factors: the optimal pricing of leasing an SBS, the SBSs allocation among the VRs, the storage size of the SBSs, and the popularity distribution of the VRs. Monte-Carlo simulations show that our stochastic geometry-based analytical results closely match the empirical ones. Numerical results are also provided for quantifying the proposed game-theoretic framework by showing its efficiency on pricing and resource allocation.