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Indeed, even though the generally accepted guidelines for the menu design favor breadth over depth (Kiger, 1984), the problem with the breadth hierarchy in large-scale systems is that the number of items at each level may be overwhelming Hence, a depth hierarchy that limits the number of items at each level may be more effective This is the socalled breadth/depth trade-off Moreover, organizing unstructured business data in useful hierarchies has recently received more attention in the industry Although there are methods for automatic hierarchy generation, a resultant hierarchy has to be manually pruned, in order to ensure its usability The main criterion is the coherence of the hierarchy, which ensures that the hierarchy is closely tailored to the needs of the intended user..



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former simply cannot be applied to a SS-VoD system as the video placement policy and I/O scheduler typically do not allow random data retrievals. The latter, on the other hand, can still be applied to a SS-VoD system but the ef ciency will be sub-optimal as the static channels periodic retrieval patterns are not exploited to increase retrieval ef ciency. To support both static batching channels and dynamic patching channels, we develop a new video placement policy and retrieval algorithm that can support random data retrievals, while still be able to exploit the periodic retrieval pattern to increase disk ef ciency. To tackle the disk-zoning problem, we develop a Weighted Group Segment Pairing Scheme (WSGP) based on SGP [8] for video placement. By pairing an outer zone with an inner zone and allocating video data according to the zone s storage capacity, we can achieve increased disk utilization without sacri cing disk storage capacity. Compared to conventional server designs using round-based schedulers, this ef cient server design can increase the system capacity by as much as 60% with the same buffer requirement. This chapter presents details of this new server design, derives a performance model, and analyzes it using numerical results.





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candle passed through the number, it wasn t as if all the traders had forgotten about the importance of the number The five-minute candle had briefly traveled lower than 12200, but then snapped back upward This meant that the number could still have importance now, for the present time, and that if the price rose up to hit that level in the next few hours or days, it was very likely to stall and fall back down Was this the system that Hank Doorecker had used All I had on the chart was a simple line It seemed so sparse, so easy I imagined that Hank surely looked for supporting information before he traded a quick horizontal line would never be enough But maybe it would be enough for me I grabbed a Post-it note from the desk and wrote down, Sell EUR/USD, 12200.

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Video server design has been studied extensively in the literature Gemmell et al [2] provide an excellent overview of the area, explaining the key challenges and reviewing existing solutions Most of the existing server designs for TVoD systems are centered around round-based algorithms, such as the CSCAN scheduler [7] and the Grouped Sweeping Scheme (GSS) scheduler [6] Common among these round-based schedulers is the assumption that there is no correlation between the active video streams, ie, the video streams play back video independently at arbitrary schedules While this assumption is valid and necessary for TVoD systems, it is sub-optimal for a SS-VoD system where some of the multicast video streams are prescheduled and thus have a xed temporal relation with one another At the other extreme of the spectrum is NVoD systems where all video streams are broadcast repeatedly and periodically in a xed schedule.

To be effective, ontologies need to change as rapidly as the parts of the world they describe. To make this a low effort for human users of

Armed with complete knowledge of the broadcasting schedules, one can then design an optimized video placement and disk retrieval scheme to increase disk ef ciency The principle is to take advantage of the xed temporal relation between broadcast video streams and place video data in an interleaved manner so that the server can retrieve video data continuously with minimal disk seeking For example, Chen and Manu [8] proposed a video placement policy called Segment Group Pairing (SGP) to allocate video data in zone-bit-recording (ZBR) disk for NVoD servers With SGP, data blocks that are to be retrieved in the same round are divided evenly into two groups The rst group is stored continuously in the outer zone while the second group is stored continuously in the inner zone This continuous placement reduces seeking overhead in data retrieval.

systems such as digital libraries, automated support for management of ontology changes is crucial. In this chapter, we have presented the state-of-the-art in ontology evolution, considering each of the individual phases of the evolution process. Furthermore, we have described how changes to the underlying data and changes to usage patterns can be used to evolve an ontology. In these ways we can reduce the burden of manual ontology engineering.

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