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The solutions implemented as part of Single Window initiatives utilize the technologies for exchange platforms presented in the previous section (4.3.4), this time, however, not to process exchanges between partners and enterprise IT, but to intermediate between partners, each of whom can, moreover, use their own exchange platform to connect to the Single Window. The addition of inter-enterprise exchange platforms to the flow manager as part of IT urbanization makes it possible to assume responsibility for exchanges in the information system, in an approach that we could qualify as A2B (application to business) integration. However, in order to accomplish A2B integration, it is important to keep in mind the ultimate goal of IT urbanization, which is in point of fact to reorganize IT for a better and faster response to the business requirements of the enterprise: it is a matter of building an information system adapted to the business processes and to their developments (Figure 4.15). 4.4. Managing business processes As we already explained at the beginning of this work to introduce the notion of spaghetti system (see section 2.3), the construction of the information system in enterprises followed what is now a well known process: year after year, applications were created, deployed and updated to automate the tasks of certain departments in the enterprise: human resources, accounting, sales, marketing. This approach, which aims to improve the level of operational efficiency of each of those departments, resulted in a system of applications which line-traced over the functions in the enterprise.

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The sample ions generated in this process are repelled through accelerating plates, which are successive plates held at increasingly negative potentials. The gain in kinetic energy for sample molecules passing through these plates is related to the ion charge (z) and the voltage difference (V) through which the ions pass, according to Eq. 15.2: Kinetic energy mv2 =2 zeV 15:2

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Purchase a second server. Install the logical volume manager (LVM) software and filesystem on the new server. Install the clustering software on both nodes. Implement a pair of heartbeat networks between the nodes. Configure the option in the clustering software to enable automatic switchover to a standby network card. This option will protect them from the failure of a NIC by moving the IP addresses associated with that NIC to dedicated standby NIC in the same node, without requiring a system-to-system failover. The hardware requirements for these additional networks is four NICs, two per node.

where v is the velocity of an ion of mass m and number of charges z, and e is the charge of an electron. The ions then follow a curved ight path as they pass through the mass analyzer, traversing a 60 or 90 sector of a circumference. As the ion

For more detailed information about clustering and failover, please see 15, Local Clustering and Failover. Estimated costs of implementation:

Second server: $42,000 Two licenses and media for clustering software: $12,100 Extra NICs and cables: $4,500

Bianalytical Chemistry, by Susan R. Mikkelsen and Eduardo Corton ISBN 0-471-54447-7 Copyright # 2004 John Wiley & Sons, Inc.

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5 years of vendor support for the clustering software: ($3,132 per year): $15,660 Clustering software training for two students: $6,000 Clustering software implementation services: $12,000 LVM and filesystem software for the second node: $6,000 5 years of LVM and filesystem software support for the second node ($1,380 per year): $6,900

The total cost of implementation is $105,160 Note that these costs are for the first cluster Additional clusters will cost less because implementation costs will drop Once their system administrators have been trained, there will not be any need to send them to training every time they implement a cluster Plus, after a few installs, it will probably not be necessary to employ implementation services for every cluster Per-server costs also decline as cluster sizes increase Because we are considering implementing clustering software, we must examine all the outages that it will affect Table 32 lists the outages we will consider, along with their durations and likelihoods before the clustering software is implemented Given all the statistics in Table 32, we get: RB = $75 9,360 = $702,000 The 99644 percent availability in the last box in Table 3.

Conclusion. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 217 Bibliography . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 219 Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 221

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