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Resource selector: Choose and lter different resource combinations. Planner: This component is used to generate a description of a resource-dependent schedule from a given resource combination. Performance estimator: This component is used to generate an estimate for candidate schedules according to the user s performance metric. Coordinator: This component chooses the best schedule. Actuator: This component implements the best schedule on the target resource management system. When AppLeS is used, the following steps are performed. 1. The user provides information to AppLeS via a Heterogeneous Application Template (HAT) and user speci cations. The HAT provides information for the structure, characteristics and implementation of an application and its tasks. 2. The coordinator uses this information to lter out infeasible/possibly bad schedules. 3. The resource selector identi es promising sets of resources, and prioritizes them based on the logical distance between resources. 4. The planner computes a potential schedule for each viable resource con guration. 5. The performance estimator evaluates each schedule in terms of the user s performance objective. 6. The coordinator chooses the best schedule and then implements it with the actuator. AppLeS differs from other scheduling systems in that the resource selection and scheduling decisions are based on the speci c needs and exhibited performance characteristics of an application. AppLeS targets parallel master slave applications. Condor, SGE, PBS and LSF do not take the application-level attributes into account when scheduling a job. Note that AppLeS is not a resource management system, it is a Grid application-level scheduling system.

The idea is to think radically, and to design and build a new network, based on a new architecture, satisfying the new requirements in a coherent manner Backwards compatibility with the current Internet is not required The FIND and FIRE programmes have only just commenced, so we cannot yet report on the outcome The NewArch project resulted in many inspiring new concepts, see [Clark 2003a] for a summary They include questioning the layer structure and suggesting protocol heaps in order to increase exibility and decrease interaction problems [Braden 2002]; an.

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schemes (BPSK and M-ary PAM) inherently offer a smooth PSD due to random polarities of the modulated pulses. In Table 4.3, power spectral densities of different data mapping formats are summarized [24], where V(f ) denotes the Fourier transform of vtr (t), dD () is the Dirac delta function, and s2 ,em2 are the variance and a a mean of the weight sequence, respectively (uniform pulse spacing in TH-UWB is assumed with no polarity randomization). Pulse shaping and design of the TH sequences also plays a crucial role in meeting with regulatory requirements, and avoiding interference from other narrowband technologies. Although other appropriate pulse shaping approaches that fully exploit the FCC spectral mask are possible [31], derivatives of Gaussian pulse are commonly used due to their practicality, where the central UWB frequency increases with derivative order [32, 33]. In order to meet with FCC requirements, the fth derivative of the Gaussian pulse is commonly reported in the USA. By appropriately shaping the pulses, or appropriately designing the TH sequences [34, 35], one can also place a notch in the interferer s spectrum to minimize the degradation on the UWB devices. Data mapping or modulation takes place at transmitter at the expense of certain hardware components. Conversely, demodulation at the receiver requires additional components. Hardware complexity in uences the choice of data modulation schemes and is discussed in the next section. 4.5 DATA MAPPING AND TRANSCEIVER COMPLEXITY

Berners-Lee, T, J Hendler, and O Lassila 2001 The Semantic Web The Scientific American (May 2001) Available at http://wwwscientificamerican com/2001/0501issue/0501berners-leehtml Biezunski, M, S Newcomb, and M Bryan, eds 2002 Guide to the Topic Map Standards Project ISO 13250, ISO/IEC JTC 1/SC34 Information Technology Document Description and Processing Languages (June 23, 2002) Available at http://wwwy12doegov/sgml/sc34/document/ 0323htm Biezunski, M 2003 Introduction to the Topic Maps Paradigm 2 in XML Topic Maps: Creating and Using Topic Maps for the Web, edited by Jack Park and Sam Hunting Reading, MA: Addison-Wesley, 17 33 Brachman, R J 1978 A Structural Paradigm for Representing Knowledge Bolt, Baranek, and Newman BBN Report 3605 Cambridge, MA Revision of Brachman s PhD thesis Harvard University 1977 Brachman, R J, and H Levesque, eds 1985 Readings in Knowledge Representation Los Altos, CA: Morgan Kaufmann Brachman, R J.

Taking into account that doers can constantly move and change positions both absolute and relative to each other, the communication network between them may have a dynamic and open structure.

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