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It may be a valid claim, or it may be nothing more than a false benefit that is derived from overworking system administrators rather than from any great economy that a product delivers) The case for virtualizing storage is equally simple Storage virtualization improves one or more of these qualities, increasing the value that an enterprise can derive from its data storage assets For example:Related: Data Matrix Generating NET , ASPNET Codabar Generation , Excel Codabar Generation.

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ON ROUTING IN MULTIHOP WIRELESS NETWORKS Barcode Printer In VS Using Barcode creator for Visual Studio NET Control o generate, create bar code image in VS NET applications Hence, the quality of the link depends only pon the available capacity CSMA-based schedulers (like IEEE 80211) are not ideal and are therefore unable to eliminate collisions completely under realistic carrier sense levels, due to the inherent difference in the channel state observed at the sender and the receiver The limitations of CSMA-based schedulers were identi ed by Xu et al [30] Thus, under such schedulers, the percentage of packet losses are an additional factor determining the link throughput 743 Impact of CSMA Scheduling on the Link Throughput To illustrate the effect of packet losses in a practical CSMA-based scheduler, Kolar and Abu-Ghazaleh [31] simulated different sets of 144 uniformly distributed nodes with 25 arbitrarily chosen one-hop connections.

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The simulation was carried out in a QualNet simulator [32] The aim of this experiment is to show the effect of CSMAbased scheduling at different interference levels One-hop connections were chosen to eliminate multihop artifacts such as self-interference and pipelining and isolate link-level interactions Each source sends CBR data at a rate high enough to ensure that it always has packets to send Each node measures the amount of time the channel is busy (busy time) The ideal available capacity at a node can be approximated by the idle time observed at either source or destination Figure 71a plots the busy time at the source of a link2 against the observed throughput of the link In general, as interference increases, the achievable capacity decreases However, it can be seen that at higher busy times (enlarged for clarity in Figure 7.

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