127,561 research outputs found
Scalability and Robustness of a Network Resource Allocation System Using Market-Based Agents
No full textIn this paper, we consider issues associated with scalability and robustness in designing a market-based multi-agent system that allocates bandwidth in a communications network. Specifically, an empirical evaluation is carried out to assess the system performance under a variety of design configurations in order to provide an insight into network deployment issues. This extends our previous work in which we developed an application that makes use of market-based software agents that compete in decentralised marketplaces to buy and sell bandwidth resources in a network that is partitioned into regions, each with a separate market server. We investigate the average call success rate and average message load per market server, as the number of markets are scaled up in a fixed size network. The same investigations are performed in the presence of single market failures. Finally, for both the failure and non-failure cases, a trade-off is found between their average call success rates and message load per server in order to find an optimum number of regions to deploy in the network
Scalability and robustness of a market-based network resource allocation system
No full textIn this paper, we consider issues related to scalability and robustness in designing a market-based multi-agent system that allocates bandwidth in a communications network. Specifically, an empirical evaluation is carried out to assess the system performance under a variety of design configurations in order to provide an insight into network deployment issues. This extends our previous work in which we developed an application that makes use of market-based software agents that compete in decentralised marketplaces to buy and sell bandwidth resources. Our new results show that given a light to moderate network traffic load, partitioning the network into a few regions, each with a separate market server, gives a higher call success rate than by using a single market. Moreover, a trade-off in the number of regions was also noted between the average call success rate and the number of messages received per market server. Finally, given the possibility of market failures, we observe that the average call success rates increase with an increasing number of markets until a maximum is reached
Accurate modeling of gate capacitance in deep submicron MOSFETs with high-K gate-dielectrics
No full textGate capacitance of metal-oxide-semiconductor devices with ultra-thin high-K gate-dielectric materials is calculated taking into account the penetration of wave functions into the gate-dielectric. When penetration effects are neglected, the gate capacitance is independent of the dielectric material for a given equivalent oxide thickness (EOT). Our selfconsistent numerical results show that in the presence of wave function penetration, even for the same EOT, gate capacitance depends on the gate-dielectric material. Calculated gate capacitance is higher for materials with lower conduction band offsets with silicon. We have investigated the effects of substrate doping density on the relative error in gate capacitance due to neglecting wave function penetration. It is found that the error decreases with increasing doping density. We also show that accurate calculation of the gate capacitance including wave function penetration is not critically dependent on the value of the electron effective mass in the gate-dielectric region
Resource allocation in communication networks using market-based agents
No full textThis work describes a system that allocates end-to-end bandwidth, in a switched meshed communications network. The solution makes use of market-based software agents that compete in a number of decentralised marketplaces to buy and sell bandwidth resources. Agents perform a distributed depth first search with decentralised markets in order to allocate routes for calls. The approach relies on a resource reservation and commit mechanism in the network. Initial results show that under a light network load, the system sets up a high percentage of calls which is comparable to the optimum value and that, under all network loads, it performs significantly better than a random strategy
Effects of neglecting carrier tunneling on electrostatic potential in calculating direct tunneling gate current in deep submicron MOSFETs
Full text linkWe investigate the validity of the assumption of neglecting carrier tunneling effects on self-consistent electrostatic potential in calculating direct tunneling gate current in deep submicron MOSFETs. Comparison between simulated and experimental results shows that for accurate modeling of direct tunneling current, tunneling effects on potential profile need to be considered. The relative error in gate current due to neglecting carrier tunneling is higher at higher gate voltages and increases with decreasing oxide thickness. We also study the direct tunneling gate current in MOSFETs with high- gate dielectrics
Gate Capacitance of deep submicron MOSFETS with high-K gate dielectrics
No full textWe study gate capacitance of deep submicron MOSFETs with high-K gate dielectrics. Schrödinger’s equation is solved by applying an open boundary condition at silicon-gate dielectric interface. Self-consistent numerical results reveal that accounting for wave function penetration into the gate dielectric causes the carrier distribution to be shifted closer to the gate dielectric. This effect increases with increasing gate voltage and also increases with the decreasing conduction band offset of the gate dielectric material with silicon. Gate capacitance calculated from conventional modeling is found to be independent of dielectric materials for a given equivalent oxide thickness (EOT). But our study shows that when wave function penetration into the gate dielectric is considered, gate capacitance for a given EOT increases with a decrease in the conduction band offset. Effects of substrate doping density on gate capacitance are found to be negligible when wave function penetration effects are incorporated
Resource allocation in communication networks using market-based agents
No full textThis work describes a system that allocates end-to-end bandwidth, in a switched meshed communications network. The solution makes use of market-based software agents that compete in a number of decentralised marketplaces to buy and sell bandwidth resources. Agents perform a distributed depth first search with decentralised markets in order to allocate routes for calls. The approach relies on a resource reservation and commit mechanism in the network. Initial results show that under a light network load, the system sets up a high percentage of calls which is comparable to the optimum value and that, under all network loads, it performs significantly better than a random strategy
Beyond Planning and Mercantilism: An Evaluation of Pakistan’s Growth Strategy
Full text linkThrough the nineties Pakistan remained preoccupied with crisis management. All debate and policy was, as a result, involved with current policy and our coping with the IMF programmes. Adjustment was the main theme leaving little room for growth initiatives.1 A lively debate has raged on the distributional impacts of adjustment policy on which the government and the thinking community have adopted opposing stances, often with much emotion. With this focus of economic and political discussion on critiquing of the current government and its policies, there has been little effort put in understanding and reviewing the country’s growth strategy. This paper attempts to assess the evolution of Pakistan’s long-term growth strategy.2 It is my contention that the growth strategy remains inertia-ridden because of the lack of an academic community and debate.3 The paper will also attempt to identify the actors who influence and shape this strategy. This will be followed by what changes should be made in that strategy, based on more recent developments in economic thinking and experience in the world. For long-run sustained growth that will lead us to join the club of the more advanced countries, a new strategy based on the latest research findings will be needed. Finally, I shall point to the factors that impede the adoption of such a strategy, and especially to our owning such a strategy.Economic Growth
Performance Evaluation of a Bambara Ground Nut Sheller
Full text linkRosana G. Moreira, Editor-in-Chief; Texas A&M UniversityThis is a paper from International Commission of Agricultural Engineering (CIGR, Commission Internationale du Genie Rural) E-Journal Volume 6 (2004): A. Atiku, N. Aviara, and M. Haque. Performance Evaluation of a Bambara Ground Nut Sheller. (July 2004)
Policies to Facilitate Conversion of Millions of Acres to the Production of Biofuel Feedstock
Full text linkFirst-generation grain ethanol biofuel has affected the historical excess capacity problem in U.S. agriculture. Second-generation cellulosic ethanol biofuel has had difficulty achieving cost-competitiveness. Third-generation drop-in biofuels are under development. If lignocellulosic biomass from perennial grasses becomes the feedstock of choice for second- and third-generation biorefineries, an integrated system could evolve in which a biorefinery directly manages feedstock production, harvest, storage, and delivery. Modeling was conducted to determine the potential economic benefits from an integrated system. Relatively low-cost public policies that could be implemented to facilitate economic efficiency are proposed.biomass, bio-oil, cellulosic, drop-in fuels, ethanol, land-lease contract, lignocellulosic, pyrolysis, switchgrass, Resource /Energy Economics and Policy, Q16, Q18, Q15, Q42,
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