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As we will discuss in 6, a Grid scheduling system performs resource description and selection when scheduling jobs to resources. However, as indicated in Tangmunarunkit et al. [37], existing resource description and selection mechanisms in the Grid are too restrictive. Traditional resource matching, as exempli ed by the Condor Matchmaker or Portable Batch System (PBS) that will be described in 6, is based on symmetric, attribute-based matching. In these systems, the values of attributes advertised by resources are compared with those required by jobs or tasks. For a comparison to be meaningful and effective, the resource providers and consumers have to agree upon attribute names and values. The exact matching and coordination between providers and consumers make such systems in exible and dif cult to extend to new characteristics or concepts. Moreover, in a heterogeneous multiinstitutional environment such as the Grid, it is dif cult to enforce the syntax and semantics of resource descriptions. Tangmunarunkit et al. [37] present a exible and extensible approach for performing Grid resource selection using an RDFS ontology-based matchmaker which performs semantic matching using terms de ned in those ontologies instead of exact syntax matching. The loose coupling between resource and request descriptions removes the tight coordination required between resource providers and consumers. Unlike traditional Grid resource selectors that describe resource/request properties based on symmetric and at attributes (which might become unmanageable as the number of attributes grows), separate ontologies are created to declaratively describe resources and job requests using an expressive ontology language. Figure 3.10 shows the layout of the matchmaker. The ontology-based matchmaker consists of three components: Domain ontologies: Provides the domain model and vocabulary for expressing resource advertisements and job requests. Domain background knowledge: Captures additional knowledge about the domain. Matchmaking rules: De nes when a resource matches a job description.

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Fixed-Mobile Convergence Generic Authentication Architecture IMT-Advanced Mobile WiMAX Moving Network Multi-homed Multi-hop Personal Area Network Personal Network Proxied Roaming Agreement Quadruple Play Radio Frequency Identi cation Service Network Software De ned Radio Ultra Mobile Broadband Vehicular Ad-hoc Network Wireless Access in Vehicular Environments Wireless Sensor Network

[80] [81] [82] [83] [84] [85] [86] [87] [88]

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CMOS implementation, can add significantly to the noise level of the low frequency content of the modulated desired signal. Another factor that determines the extent of the impact of the flicker noise on the received signal quality in a direct-conversion receiver is the bandwidth of the desired channel. For a desired signal with a wide bandwidth, the NF (and therefore SNR) would degrade for the lower frequency content, but averaged over the wideband, the signal quality may not be significantly impacted. For a narrowband signal, on the other hand, the entire bandwidth of the signal may be in the flicker-noise-dominated region of the spectrum, and an appreciable impact on the average NF of the system will be observed. It is instructive to take a numerical example for a couple of standards. First consider the 802.11a signal. When down converted to baseband in a typical direct-conversion receiver, the highest frequency content of the desired signal is at 8.125 MHz. With a typical flicker noise corner of, say, 400 kHz, only the lowest two OFDM subcarriers will be impacted by this flicker noise, and on average only a marginal hit to the NF will result. On the other hand, consider the same receiver receiving a GSM/EDGE-modulated signal, whose highest frequency content after down conversion to baseband is 100 kHz (since the RF signal bandwidth in GSM/EDGE is 200 kHz). Clearly the average NF of this system is quite severely impacted by the flicker noise. This is one fundamental reason (among others) why most GSM receivers use a low IF architecture with the IF at about 150 kHz rather than a directconversion architecture.

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