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To gauge the overall operation and performance of their network connectivity, many network administrators find it useful to make automatic, periodic observations of certain network characteristics and to record this information in some form of database Usually, the monitoring is performed by dedicated hosts with sufficient I/O to ensure that the observation of the characteristic represents the performance of the network at that time and not artifacts due to loading of the monitoring system It is also very important to connect these systems to the network at a point that is representative of the campus or Grid computing facility The network group in the European Union DataGrid Project set up a framework to monitor the Grid sites [13,14], which is being developed into the EGEE Network Performance Monitoring toolkit e2emonit [15].

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Reference [124] contains a comprehensive description of number of codes and the different techniques used to compress data Of all the two-dimensional codes, PDF 417 and Maxicode are the most common examples PDF 417 has an impressive data capacity of up to 1 kbyte of data, in a single coding block This can be used, for example, to create a label that codes a customer s order, which can be stuck to a carton into which the goods are then picked by an operator who simply scans the label at a picking point Selection of goods is therefore possible without having to bind a customer reference number to an itemised list, thus removing the need for a network connection between the warehouse and the order department This has some advantages when ful lment is out-sourced, (although total isolation of warehouse and order system is clearly not a very good idea).

Some network monitoring frameworks also provide methods of requesting that measurements be made on demand along with suitable authentication and authorization techniques [16] Simple web interfaces also exist for some common tools, for example traceroute, which allow users to determine hoplists from many locations around the world [17] Another example of a web-based tool is the Network Diagnostic Tool (NDT) [18], which is a client server program that provides network configuration and performance testing using the path between the web client and the node running the server NDT servers can be installed at strategic points of the network being used The most commonly monitored characteristics are round-trip delay, packet loss, and TCP-achievable bandwidth using tools such as ping and iperf An example of this type of monitoring is the Internet End-to-end Performance Monitoring (IEPM) [19,20] framework developed at SLAC by Les Cottrell and Connie Logg.

The assignation of speci c code numbers to companies and products is overseen by the relevant number-coding bodies, such as EAN With some exceptions, (principally where goods are very small and require truncated coding), the assigning of numbers to products is left to the company itself, the regulating body simply assigns a company number and a country code of the assigning body (not the company) For more details see [125]..

Source: Koebel, unpublished, based on Connant and Collins, 1991; Tennant, 1997; and Bartlett and Bartlett, 1999.

This work started in 1995 with the PingER project, which used ping and has considerable historic data Current work includes regular observations of the round-trip delay by ping, and TCP-achievable bandwidth using thrulay [21] and iperf as well as that from tools using packet dispersion techniques [22] such as pathload [23] and pathchirp [24]..

where = szk (1 ((sz 1)/2(r + 1)) . It may be mentioned that while estimating P(E1i |E2i ) by / kr , we are allowing i i a higher quantity in the denominator. The number of distinct keys revealed is under the restriction that the keys are distributed in s distinct blocks. However, the denominator is the expression for choosing i number of distinct keys from a collection of kr keys without any restriction. As a consequence, the resulting probability values will be under estimated. Note that in Theorem 2, there is a restriction on s. Next we present another approximation of Fail(s) as follows where such a restriction is not there. However, the approximation of Theorem 3 is little further than that of Theorem 2 from the experimental results. Theorem 3 Consider a (v = kr, b = r 2 , r, k) con guration. A node is prepared by merging z > 1 nodes. Then in terms of design parameters, Fail(s)

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