The Experts below are selected from a list of 81012 Experts worldwide ranked by ideXlab platform
Mung Chiang - One of the best experts on this subject based on the ideXlab platform.
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smart data pricing using economics to manage Network Congestion
Communications of The ACM, 2015Co-Authors: Soumya Sen, Carlee Joewong, Mung ChiangAbstract:Economic incentives that alleviate Congestion for Internet customers can also improve business performance for Network operators.
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smart data pricing sdp economic solutions to Network Congestion
2013Co-Authors: Soumya Sen, Carlee Joewong, Mung ChiangAbstract:Advances in Internet technologies have resulted in an unprecedented growth in demand for data. In particular, the demand in the mobile Internet sector is doubling every year [1]. Given the limited wireless spectrum availability, the rate of growth in the supply of wireless capacity (per dollar of investment) is unlikely to match the rate of growth in demand in the long run. Internet Service Providers (ISPs) are therefore turning to new pricing and penalty schemes in an effort to manage the demand on their Network, while also matching their prices to cost. But changes in pricing and accounting mechanisms, if not done carefully, can have significant consequences for the entire Network ecosystem. Multiple stakeholders in this ecosystem, including operators, consumers, regulators, content providers, hardware and software developers, and architects of Network technologies, have all been tackling these issues of charging and allocating limited Network resources. Even back in 1974, while writing about the future challenges of computer communication Networks, Leonard Kleinrock [2] noted:
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incentivizing time shifting of data a survey of time dependent pricing for internet access
IEEE Communications Magazine, 2012Co-Authors: Soumya Sen, Carlee Joewong, Mung ChiangAbstract:The tremendous growth in demand for broadband data is forcing ISPs to use pricing as a Congestion management tool. This changing landscape of Internet access pricing is evidenced by the elimination of flat rate data plans in favor of usage-based pricing by major wired and wireless operators in the US and Europe. But simple usage-based fees suffer from the problem of imposing costs on all users, irrespective of the Network Congestion level at a given time. To effectively reduce Network Congestion, appropriate incentives must be provided to users who are willing to time-shift their data demand from peak to off-peak periods. These pricing incentives can either be static (e.g., two-period daytime/nighttime prices) or computed dynamically (e.g., dayahead pricing, real-time pricing). Data plans that offer such incentives to consumers fall under the category of time-dependent pricing (TDP). Many ISPs across the world are currently exploring various forms of TDP to manage their traffic growth. This article first outlines the sources of today?s challenges, and then discusses current trends from regulatory and technological perspectives. Finally, we review representative pricing proposals for incentivizing the time-shifting of data.
Soumya Sen - One of the best experts on this subject based on the ideXlab platform.
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smart data pricing using economics to manage Network Congestion
Communications of The ACM, 2015Co-Authors: Soumya Sen, Carlee Joewong, Mung ChiangAbstract:Economic incentives that alleviate Congestion for Internet customers can also improve business performance for Network operators.
-
smart data pricing sdp economic solutions to Network Congestion
2013Co-Authors: Soumya Sen, Carlee Joewong, Mung ChiangAbstract:Advances in Internet technologies have resulted in an unprecedented growth in demand for data. In particular, the demand in the mobile Internet sector is doubling every year [1]. Given the limited wireless spectrum availability, the rate of growth in the supply of wireless capacity (per dollar of investment) is unlikely to match the rate of growth in demand in the long run. Internet Service Providers (ISPs) are therefore turning to new pricing and penalty schemes in an effort to manage the demand on their Network, while also matching their prices to cost. But changes in pricing and accounting mechanisms, if not done carefully, can have significant consequences for the entire Network ecosystem. Multiple stakeholders in this ecosystem, including operators, consumers, regulators, content providers, hardware and software developers, and architects of Network technologies, have all been tackling these issues of charging and allocating limited Network resources. Even back in 1974, while writing about the future challenges of computer communication Networks, Leonard Kleinrock [2] noted:
-
incentivizing time shifting of data a survey of time dependent pricing for internet access
IEEE Communications Magazine, 2012Co-Authors: Soumya Sen, Carlee Joewong, Mung ChiangAbstract:The tremendous growth in demand for broadband data is forcing ISPs to use pricing as a Congestion management tool. This changing landscape of Internet access pricing is evidenced by the elimination of flat rate data plans in favor of usage-based pricing by major wired and wireless operators in the US and Europe. But simple usage-based fees suffer from the problem of imposing costs on all users, irrespective of the Network Congestion level at a given time. To effectively reduce Network Congestion, appropriate incentives must be provided to users who are willing to time-shift their data demand from peak to off-peak periods. These pricing incentives can either be static (e.g., two-period daytime/nighttime prices) or computed dynamically (e.g., dayahead pricing, real-time pricing). Data plans that offer such incentives to consumers fall under the category of time-dependent pricing (TDP). Many ISPs across the world are currently exploring various forms of TDP to manage their traffic growth. This article first outlines the sources of today?s challenges, and then discusses current trends from regulatory and technological perspectives. Finally, we review representative pricing proposals for incentivizing the time-shifting of data.
Florian Schoppmann - One of the best experts on this subject based on the ideXlab platform.
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exact price of anarchy for polynomial Congestion games
SIAM Journal on Computing, 2011Co-Authors: Sebastian Aland, Dominic Dumrauf, Martin Gairing, Burkhard Monien, Florian SchoppmannAbstract:We show exact values for the worst-case price of anarchy in weighted and unweighted (atomic unsplittable) Congestion games, provided that all cost functions are bounded-degree polynomials with nonnegative coefficients. The given values also hold for weighted and unweighted Network Congestion games.
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exact price of anarchy for polynomial Congestion games
Lecture Notes in Computer Science, 2006Co-Authors: Sebastian Aland, Dominic Dumrauf, Martin Gairing, Burkhard Monien, Florian SchoppmannAbstract:We show exact values for the price of anarchy of weighted and unweighted Congestion games with polynomial latency functions. The given values also hold for weighted and unweighted Network Congestion games.
Rodrigo Moreno - One of the best experts on this subject based on the ideXlab platform.
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a milp model for optimising multi service portfolios of distributed energy storage
Applied Energy, 2015Co-Authors: Rodrigo Moreno, Roberto Moreira, Goran StrbacAbstract:Energy storage has the potential to provide multiple services to several sectors in electricity industry and thus support activities related to generation, Network and system operation. Hence aggregating the value delivered by storage to these sectors is paramount for promoting its efficient deployment in the near future, which will provide the level of flexibility needed to deal with the envisaged high renewables share and the increase in peak demand driven by transport and heating electrification. In this context, we develop a Mixed Integer Linear Programming (MILP) model to schedule operation of distributed storage by coordinating provision of a range of system services which are rewarded at different market prices. The model maximises distributed storage’s net profit while providing distribution Network Congestion management, energy price arbitrage and various reserve and frequency regulation services through both active and reactive power control. We demonstrate benefits associated with the coordination of these services and its impacts on commercial strategies to determine optimal multi-service portfolios in the long term. We also demonstrate the value of reactive power control to support not only distribution Network Congestion management, but also efficient trading of energy and balancing services which are usually treated through active power-only control. In addition, we use the model to price the service of distribution Network Congestion management and propose an efficient investment policy to upgrade distribution Network capacity in the presence of distributed storage. Finally, several case studies under current market conditions in Great Britain (GB) demonstrate that distributed storage revenues associated with frequency control services are significantly more profitable.
Carlee Joewong - One of the best experts on this subject based on the ideXlab platform.
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smart data pricing using economics to manage Network Congestion
Communications of The ACM, 2015Co-Authors: Soumya Sen, Carlee Joewong, Mung ChiangAbstract:Economic incentives that alleviate Congestion for Internet customers can also improve business performance for Network operators.
-
smart data pricing sdp economic solutions to Network Congestion
2013Co-Authors: Soumya Sen, Carlee Joewong, Mung ChiangAbstract:Advances in Internet technologies have resulted in an unprecedented growth in demand for data. In particular, the demand in the mobile Internet sector is doubling every year [1]. Given the limited wireless spectrum availability, the rate of growth in the supply of wireless capacity (per dollar of investment) is unlikely to match the rate of growth in demand in the long run. Internet Service Providers (ISPs) are therefore turning to new pricing and penalty schemes in an effort to manage the demand on their Network, while also matching their prices to cost. But changes in pricing and accounting mechanisms, if not done carefully, can have significant consequences for the entire Network ecosystem. Multiple stakeholders in this ecosystem, including operators, consumers, regulators, content providers, hardware and software developers, and architects of Network technologies, have all been tackling these issues of charging and allocating limited Network resources. Even back in 1974, while writing about the future challenges of computer communication Networks, Leonard Kleinrock [2] noted:
-
incentivizing time shifting of data a survey of time dependent pricing for internet access
IEEE Communications Magazine, 2012Co-Authors: Soumya Sen, Carlee Joewong, Mung ChiangAbstract:The tremendous growth in demand for broadband data is forcing ISPs to use pricing as a Congestion management tool. This changing landscape of Internet access pricing is evidenced by the elimination of flat rate data plans in favor of usage-based pricing by major wired and wireless operators in the US and Europe. But simple usage-based fees suffer from the problem of imposing costs on all users, irrespective of the Network Congestion level at a given time. To effectively reduce Network Congestion, appropriate incentives must be provided to users who are willing to time-shift their data demand from peak to off-peak periods. These pricing incentives can either be static (e.g., two-period daytime/nighttime prices) or computed dynamically (e.g., dayahead pricing, real-time pricing). Data plans that offer such incentives to consumers fall under the category of time-dependent pricing (TDP). Many ISPs across the world are currently exploring various forms of TDP to manage their traffic growth. This article first outlines the sources of today?s challenges, and then discusses current trends from regulatory and technological perspectives. Finally, we review representative pricing proposals for incentivizing the time-shifting of data.
