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Reagents and Conditions: (a) i. LiAlH4, Et2O, 78 C, 2 h; ii. Ac2O, Py, DMAP, 23 C, 99%; (b) i. O3, CH2Cl2-MeOH (3:2), 78 C; 2. Me2S, 78 C $ 23 C, 24 h, 62%; (c) NH4Cl, MeOH, 50 C, 6 h, 88%; (d) Ph3P CHCO2Me, PhCO2H, toluene, re ux, 72 h, 82%; (e) i. K2CO3, MeOH, 23 C, 1 h, 93%; ii. TBDPSCl, imidazole, DMF, 23 C, 2 h, 91%; (f) DIBAL-H, CH2Cl2, 78 C, 2 h, 87%; (g) NCS, Ph3P, THF, 23 C, 12 h, 92%; (h) i. n-BuLi, 78 C, 30 min then added 219, 78 C $ 23 C, 4 h, 92%; ii. Na(Hg), Na2HPO4, MeOH, 23 C, 6 h, 91%; (i) p-TsOH, acetone, 40 C; 4 h, 89%; (j) i. TiCl4, Zn, Py, DME, re ux, 10 h, 81%; ii. n-Bu4NF, THF, 60 C, 24 h, 85%.

The questions we have asked till now have focused on issues that will help us to determine how many CPUs we will need and how fast they need to be. To generate our estimate, we will use the rule of thumb that each concurrent user requires 10 MHz of CPU speed. Applying this rule means that our 4,000-user timecard application that supports 80 concurrent users can run on a modest single 800-MHz CPU. This assumes that the Web application server and EJB container and databases are each on their own independent servers. In this case of 80 concurrent users, it is very likely that we will deploy the application on the same type of system that we developed it on. On the other hand, if we had 40,000 users, 800 of them concurrent at peak times, we might select a system with 4 CPUs, each running at 2 GHz. How this processing power is distributed through the layers of the architecture will be discussed in the Hardware Scaling section later in this chapter.

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To determine the date that corresponds to the last day of a month, you can use the DATE function. However, you need to increment the month by 1, and use a day value of 0. In other words, the 0th day of the next month is the last day of the current month. The following formula assumes that a date is stored in cell A1. The formula returns the date that corresponds to the last day of the month.

2 y i y , x = (1 N )

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3.5.1 IETF Quality of Service Strategies and Initiatives The IETF has been actively involved in the development of a standardized support for multimedia applications over IP networks and, in particular, for the Internet. For the scope of this discussion, we will consider three major standardized alternatives, which can be used to provide QoS for multimedia applications: The IntServ The DiffServ The MPLS solution This section presents and discusses IntServ, a proposed IETF strategy oriented to provide QoS to individual flows.

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you, and then my own level of distress goes down Two brains better than one, I suppose You know what, honey That s exactly what I m working on at Perkins, she said Distributed computing, lots of small brains connected together are more capable of solving complex problems than one big brain As they drove across the bridge on their way to the home, she realized that there is a very human aspect to distributed computing, that there are resources that can be leveraged, and that when the workload is shared, it alleviates the pressure on any single machine, or any single human, and this extends beyond the normal boundaries of a business She remembered one of her research notes, as they drove Two are better than one, she joked Four are better than two, et cetera, et cetera That s what I m trying to prove at work.

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