The Experts below are selected from a list of 189978 Experts worldwide ranked by ideXlab platform
Klara Nahrstedt - One of the best experts on this subject based on the ideXlab platform.
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energy efficient soft real time cpu scheduling for mobile multimedia systems
Symposium on Operating Systems Principles, 2003Co-Authors: Wanghong Yuan, Klara NahrstedtAbstract:This paper presents GRACE-OS, an energy-efficient soft real-time CPU scheduler for mobile devices that primarily run multimedia applications. The major goal of GRACE-OS is to support application quality of service and save energy. To achieve this goal, GRACE-OS integrates dynamic voltage scaling into soft real-time scheduling and decides how fast to execute applications in addition to when and how long to execute them. GRACE-OS makes such scheduling decisions based on the probability Distribution of application cycle Demands, and obtains the Demand Distribution via online profiling and estimation. We have implemented GRACE-OS in the Linux kernel and evaluated it on an HP laptop with a variable-speed CPU and multimedia codecs. Our experimental results show that (1) the Demand Distribution of the studied codecs is stable or changes smoothly. This stability implies that it is feasible to perform stochastic scheduling and voltage scaling with low overhead; (2) GRACE-OS delivers soft performance guarantees by bounding the deadline miss ratio under application-specific requirements; and (3) GRACE-OS reduces CPU idle time and spends more busy time in lower-power speeds. Our measurement indicates that compared to deterministic scheduling and voltage scaling, GRACE-OS saves energy by 7% to 72% while delivering statistical performance guarantees.
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energy efficient soft real time cpu scheduling for mobile multimedia systems
Symposium on Operating Systems Principles, 2003Co-Authors: Wanghong Yuan, Klara NahrstedtAbstract:This paper presents GRACE-OS, an energy-efficient soft real-time CPU scheduler for mobile devices that primarily run multimedia applications. The major goal of GRACE-OS is to support application quality of service and save energy. To achieve this goal, GRACE-OS integrates dynamic voltage scaling into soft real-time scheduling and decides how fast to execute applications in addition to when and how long to execute them. GRACE-OS makes such scheduling decisions based on the probability Distribution of application cycle Demands, and obtains the Demand Distribution via online profiling and estimation. We have implemented GRACE-OS in the Linux kernel and evaluated it on an HP laptop with a variable-speed CPU and multimedia codecs. Our experimental results show that (1) the Demand Distribution of the studied codecs is stable or changes smoothly. This stability implies that it is feasible to perform stochastic scheduling and voltage scaling with low overhead; (2) GRACE-OS delivers soft performance guarantees by bounding the deadline miss ratio under application-specific requirements; and (3) GRACE-OS reduces CPU idle time and spends more busy time in lower-power speeds. Our measurement indicates that compared to deterministic scheduling and voltage scaling, GRACE-OS saves energy by 7% to 72% while delivering statistical performance guarantees.
Matthias Sutter - One of the best experts on this subject based on the ideXlab platform.
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to buy or not to buy price salience in an online shopping field experiment
Social Science Research Network, 2020Co-Authors: Markus Dertwinkelkalt, Mats Koster, Matthias SutterAbstract:We examine whether shrouding or partitioning of a surcharge raises Demand in online shopping. In a field experiment with more than 34,000 consumers, we find that consumers in the online shop of a cinema are more likely to select tickets for a 3D movie when the 3D surcharge is shrouded, but they also drop out more often when the overall price is shown at the checkout. In sum, the Demand Distribution is independent of the price presentation. This result outlines the limits of the effectiveness of shrouding practices.
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to buy or not to buy price salience in an online shopping field experiment
Research Papers in Economics, 2020Co-Authors: Markus Dertwinkelkalt, Mats Koster, Matthias SutterAbstract:We examine whether shrouding or partitioning of a surcharge raises Demand in online shopping. In a field experiment with more than 34,000 consumers, we find that consumers in the online shop of a cinema initiate a purchase process for a 3D movie more often when the 3D surcharge is shrouded, but they also drop out more often when the overall price is shown at the check-out. In sum, the Demand Distribution is independent of the price presentation. This result qualifies previous findings on the effectiveness of shrouding surcharges and can be rationalized through low cancellation costs.
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to buy or not to buy shrouding and partitioning of prices in an online shopping field experiment
Social Science Research Network, 2019Co-Authors: Markus Dertwinkelkalt, Mats Koster, Matthias SutterAbstract:We examine whether shrouding surcharges or partitioning prices raises Demand in online shopping where consumers have very low costs of cancelling an initiated purchase process. In a field experiment with more than 34,000 consumers, we find that consumers in the online shop of a large German cinema initiate a purchase process more often when surcharges are shrouded or indicated separately, but they also drop out more often when the overall price becomes known at the check-out. In sum, the Demand Distribution is independent of the price presentation. This result qualifies previous findings on the effectiveness of such pricing practices and can be rationalized through low cancellation costs.
Wanghong Yuan - One of the best experts on this subject based on the ideXlab platform.
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energy efficient soft real time cpu scheduling for mobile multimedia systems
Symposium on Operating Systems Principles, 2003Co-Authors: Wanghong Yuan, Klara NahrstedtAbstract:This paper presents GRACE-OS, an energy-efficient soft real-time CPU scheduler for mobile devices that primarily run multimedia applications. The major goal of GRACE-OS is to support application quality of service and save energy. To achieve this goal, GRACE-OS integrates dynamic voltage scaling into soft real-time scheduling and decides how fast to execute applications in addition to when and how long to execute them. GRACE-OS makes such scheduling decisions based on the probability Distribution of application cycle Demands, and obtains the Demand Distribution via online profiling and estimation. We have implemented GRACE-OS in the Linux kernel and evaluated it on an HP laptop with a variable-speed CPU and multimedia codecs. Our experimental results show that (1) the Demand Distribution of the studied codecs is stable or changes smoothly. This stability implies that it is feasible to perform stochastic scheduling and voltage scaling with low overhead; (2) GRACE-OS delivers soft performance guarantees by bounding the deadline miss ratio under application-specific requirements; and (3) GRACE-OS reduces CPU idle time and spends more busy time in lower-power speeds. Our measurement indicates that compared to deterministic scheduling and voltage scaling, GRACE-OS saves energy by 7% to 72% while delivering statistical performance guarantees.
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energy efficient soft real time cpu scheduling for mobile multimedia systems
Symposium on Operating Systems Principles, 2003Co-Authors: Wanghong Yuan, Klara NahrstedtAbstract:This paper presents GRACE-OS, an energy-efficient soft real-time CPU scheduler for mobile devices that primarily run multimedia applications. The major goal of GRACE-OS is to support application quality of service and save energy. To achieve this goal, GRACE-OS integrates dynamic voltage scaling into soft real-time scheduling and decides how fast to execute applications in addition to when and how long to execute them. GRACE-OS makes such scheduling decisions based on the probability Distribution of application cycle Demands, and obtains the Demand Distribution via online profiling and estimation. We have implemented GRACE-OS in the Linux kernel and evaluated it on an HP laptop with a variable-speed CPU and multimedia codecs. Our experimental results show that (1) the Demand Distribution of the studied codecs is stable or changes smoothly. This stability implies that it is feasible to perform stochastic scheduling and voltage scaling with low overhead; (2) GRACE-OS delivers soft performance guarantees by bounding the deadline miss ratio under application-specific requirements; and (3) GRACE-OS reduces CPU idle time and spends more busy time in lower-power speeds. Our measurement indicates that compared to deterministic scheduling and voltage scaling, GRACE-OS saves energy by 7% to 72% while delivering statistical performance guarantees.
Kumar Rajaram - One of the best experts on this subject based on the ideXlab platform.
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joint pricing and inventory control with a markovian Demand model
European Journal of Operational Research, 2007Co-Authors: Rui Yin, Kumar RajaramAbstract:Abstract We consider the joint pricing and inventory control problem for a single product over a finite horizon and with periodic review. The Demand Distribution in each period is determined by an exogenous Markov chain. Pricing and ordering decisions are made at the beginning of each period and all shortages are backlogged. The surplus costs as well as fixed and variable costs are state dependent. We show the existence of an optimal (s, S, p)-type feedback policy for the additive Demand model. We extend the model to the case of emergency orders. We compute the optimal policy for a class of Markovian Demand and illustrate the benefits of dynamic pricing over fixed pricing through numerical examples. The results indicate that it is more beneficial to implement dynamic pricing in a Markovian Demand environment with a high fixed ordering cost or with high Demand variability.
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joint pricing and inventory control with a markovian Demand model
Social Science Research Network, 2005Co-Authors: Rui Yin, Kumar RajaramAbstract:We consider the joint pricing and inventory control problem for a single product with a finite horizon and periodic review. The Demand Distribution in each period is determined by an exogenous Markov chain. Pricing and ordering decisions are made at the beginning of each period and all shortages are backlogged. The surplus costs as well as fixed and variable costs are state dependent. We show the existence of an optimal (s, S, p)-type feedback policy for the additive Demand model. We extend the model to the case of emergency orders and also incorporate capacity and service level constraints. We compute the optimal policy for a class of Markovian Demand and illustrate the benefits of dynamic pricing over fixed pricing strategies through numerical examples. The results indicate that it is more beneficial to implement the dynamic pricing strategy in a Markovian Demand environment with a high fixed ordering cost or with high Demand uncertainty.
Markus Dertwinkelkalt - One of the best experts on this subject based on the ideXlab platform.
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to buy or not to buy price salience in an online shopping field experiment
Social Science Research Network, 2020Co-Authors: Markus Dertwinkelkalt, Mats Koster, Matthias SutterAbstract:We examine whether shrouding or partitioning of a surcharge raises Demand in online shopping. In a field experiment with more than 34,000 consumers, we find that consumers in the online shop of a cinema are more likely to select tickets for a 3D movie when the 3D surcharge is shrouded, but they also drop out more often when the overall price is shown at the checkout. In sum, the Demand Distribution is independent of the price presentation. This result outlines the limits of the effectiveness of shrouding practices.
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to buy or not to buy price salience in an online shopping field experiment
Research Papers in Economics, 2020Co-Authors: Markus Dertwinkelkalt, Mats Koster, Matthias SutterAbstract:We examine whether shrouding or partitioning of a surcharge raises Demand in online shopping. In a field experiment with more than 34,000 consumers, we find that consumers in the online shop of a cinema initiate a purchase process for a 3D movie more often when the 3D surcharge is shrouded, but they also drop out more often when the overall price is shown at the check-out. In sum, the Demand Distribution is independent of the price presentation. This result qualifies previous findings on the effectiveness of shrouding surcharges and can be rationalized through low cancellation costs.
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to buy or not to buy shrouding and partitioning of prices in an online shopping field experiment
Social Science Research Network, 2019Co-Authors: Markus Dertwinkelkalt, Mats Koster, Matthias SutterAbstract:We examine whether shrouding surcharges or partitioning prices raises Demand in online shopping where consumers have very low costs of cancelling an initiated purchase process. In a field experiment with more than 34,000 consumers, we find that consumers in the online shop of a large German cinema initiate a purchase process more often when surcharges are shrouded or indicated separately, but they also drop out more often when the overall price becomes known at the check-out. In sum, the Demand Distribution is independent of the price presentation. This result qualifies previous findings on the effectiveness of such pricing practices and can be rationalized through low cancellation costs.
