Large System Analysis of Game-Theoretic Power Control in UWB Wireless Networks with Rake Receivers

This paper studies the performance of partial-Rake (PRake) receivers in impulse-radio ultrawideband wireless networks when an energy-efficient power control scheme is adopted. Due to the large bandwidth of the system, the multipath channel is assumed to be frequency-selective. By using noncooperative game-theoretic models and large system analysis, explicit expressions are derived in terms of network parameters to measure the effects of self- and multiple-access interference at a receiving access point. Performance of the PRake is compared in terms of achieved utilities and loss to that of the all-Rake receiver.Comment: To appear in the Proceedings of the 8th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Helsinki, Finland, June 17-20, 200

Physical 2D Morphware and Power Reduction Methods for Everyone

Dynamic and partial reconfiguration discovers more and more the focus in academic and industrial research. Modern systems in e.g. avionic and automotive applications exploit the parallelism of hardware in order to reduce power consumption and to increase performance. State of the art reconfigurable FPGA devices allows reconfiguring parts of their architecture while the other configured architecture stays undisturbed in operation. This dynamic and partial reconfiguration allows therefore adapting the architecture to the requirements of the application while run-time. The difference to the traditional term of software and its related sequential architecture is the possibility to change the paradigm of brining the data to the respective processing elements. Dynamic and partial reconfiguration enables to bring the processing elements to the data and is therefore a new paradigm. The shift from the traditional microprocessor approaches with sequential processing of data to parallel processing reconfigurable architectures forces to introduce new paradigms with the focus on computing in time and space

Reducing Electricity Demand Charge for Data Centers with Partial Execution

Data centers consume a large amount of energy and incur substantial electricity cost. In this paper, we study the familiar problem of reducing data center energy cost with two new perspectives. First, we find, through an empirical study of contracts from electric utilities powering Google data centers, that demand charge per kW for the maximum power used is a major component of the total cost. Second, many services such as Web search tolerate partial execution of the requests because the response quality is a concave function of processing time. Data from Microsoft Bing search engine confirms this observation. We propose a simple idea of using partial execution to reduce the peak power demand and energy cost of data centers. We systematically study the problem of scheduling partial execution with stringent SLAs on response quality. For a single data center, we derive an optimal algorithm to solve the workload scheduling problem. In the case of multiple geo-distributed data centers, the demand of each data center is controlled by the request routing algorithm, which makes the problem much more involved. We decouple the two aspects, and develop a distributed optimization algorithm to solve the large-scale request routing problem. Trace-driven simulations show that partial execution reduces cost by $3\%--10.5\%$ for one data center, and by $15.5\%$ for geo-distributed data centers together with request routing.Comment: 12 page

A STRATEGIC RATIONALE FOR CAPTIVE SUPPLIES

Partial backward integration is prevalent in many agricultural and natural resource processing industries. A strategic rationale for partial backward integration is developed for a dominant firm with a competitive fringe purchasing from competitive input suppliers. A partially backward integrated dominant firm potentially can increase profit through production efficiency gains and through a lower price for externally purchasing input. The optimal degree of backward integration results when the dominant firm's profit from exerting monopsony market power in the external spot market equals its profit from producing raw input internally, less the incremental cost of acquiring internal raw input production capacity. Comparative statics results are consistent with recent empirical studies of the beef packing industry.Agribusiness,

A Partial Equilibrium Model of the Beef and Dairy Sector in Italy Under Imperfect Competition

In this paper we present a partial equilibrium model for the bovine sector (beef and dairy) in Italy, which can be used for simulation and forecasting. The structure of the model follows the vertical chain of the beef and dairy sector, allowing trade of both agricultural raw materials and final products. Since the processing and retailing stage is characterised by an imperfectly competitive structure, the model accounts for market power in modelling the price transmission mechanism. This provides further insights on the vertical transmission of shocks, both at the final level (i.e. the BSE crisis) and at the farm level (i.e. agricultural policy reform).simulation models, policy analysis, imperfect competition, beef, dairy, Livestock Production/Industries,

Peak Detection as Multiple Testing

This paper considers the problem of detecting equal-shaped non-overlapping unimodal peaks in the presence of Gaussian ergodic stationary noise, where the number, location and heights of the peaks are unknown. A multiple testing approach is proposed in which, after kernel smoothing, the presence of a peak is tested at each observed local maximum. The procedure provides strong control of the family wise error rate and the false discovery rate asymptotically as both the signal-to-noise ratio (SNR) and the search space get large, where the search space may grow exponentially as a function of SNR. Simulations assuming a Gaussian peak shape and a Gaussian autocorrelation function show that desired error levels are achieved for relatively low SNR and are robust to partial peak overlap. Simulations also show that detection power is maximized when the smoothing bandwidth is close to the bandwidth of the signal peaks, akin to the well-known matched filter theorem in signal processing. The procedure is illustrated in an analysis of electrical recordings of neuronal cell activity.Comment: 37 pages, 8 figure

Tabulation for multi-purpose partial parsing

Efficient partial parsing systems (chunkers) are urgently required by various natural language application areas as these parsers always produce partially parsed text even when the text does not fully fit existing lexica and grammars. Availability of partially parsed corpora is absolutely necessary for extracting various kinds of information that may then be fed into those systems, increasing their processing power. In this paper, we propose an efficient partial parsing scheme based on chart parsing that is flexible enough to support both normal parsing tasks and diagnosis in previously obtained partial parses of possible causes (kinds of faults) that led to those partial parses instead of complete parses. Through the use of the built-in tabulation capabilites of the DyALog system, we implemented a partial parser that runs as fast as the best non-deterministic parsers. In this paper we ellaborate on the implementation of two different grammar formalisms: Definite Clause Grammars (DCG) extended with head declarations and Bound Movement Grammars (BMG)