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small-cap value peer universe in the top part of the table and then lists CAM s portfolio returns as well as the benchmark returns in both absolute format (under the heading performance ) and in relation to the peer universe (under the heading percentile rankings ) The data for the peer universe listed under the heading performance breakpoints is determined by calculating the percentile ranking of each product s return in the peer universe for each period under review A product that has a return in the rst percentile of returns in the peer universe has performed in the top 1 percent of the group or another way of stating this is to say that a product that has rst percentile performance has beaten 99 percent of the products in the peer universe.

Locks may be associated with a resource consisting of multiple pieces of data, a singe piece of data, or a free textual description The latter is useful to let application developers operate exclusively on individual de ned data sets, such as multiple resource objects We complete the discussion on the Synchronization Service with the global clock mechanism Synchronization relies on timing because data modi cations are only accepted if they are newer than the existing local piece of data To avoid side effects resulting from differing clocks of peers, the Service provides a global clock 446 Summary Peer-to-Peer networks have advantages over centralized networks but are also limited For example, they lack control, a prerequisite for many applications Hybrid networks can overcome these limitations while preserving the advantages.

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Conversely, a product that performs in the 100th percentile has performed worse than all the other products in the peer universe A product that has returned in the 50th percentile has performed right in the middle of the peer group Note that in Exhibit 419 we do not show the 1st and 100th percentiles Instead, we start with the 5th percentile and end with the 95th percentile This is done to eliminate any outliers that may stretch the performance range beyond what is reasonable and to help avoid errors in percentile rankings due to the inclusion of products that don t t perfectly in the peer category (more on this later on) Looking at the YTD column as a point of reference, we see that the CAM portfolio s 159% return places it at the 30th percentile in the peer universe.

The percentile ranking improves to 20th over the one-year period, falls dramatically to 61st over three years, and increases, just as dramatically, to the 14th percentile over the ve-year period Exhibit 420 is a very popular way of graphically showing the data in Exhibit 419 This graph is commonly referred to as a quartile chart because the breakpoints separate into four return ranges The rst quartile ranges from the 5th to 25th percentile, the second quartile ranges from the 25th to 50th percentile, the third quartile ranges from the 50th to the 75th quartile, and the fourth quartile ranges from the 75th to the 95th percentile As the chart indicates, the top box represents the rst quartile and the bottom box represents the fourth quartile.

We outlined the concept of Service Providers, and how they can be accessed by a variety of protocols using Service Connectors Conceptual models of a hybrid middleware were introduced, and two Services were discussed exemplarily in more detail Especially the synchronization.

The CAM portfolio, which is represented in this chart by a bold c, had been a consistent second-quartile performer over the YTD, one-year, and three-year periods However, the portfolio moved rmly into the rst quartile over the ve-year period The ve-year quartile distribution also indicates that more than half of the small-cap manager universe outperformed the small-cap benchmarks over that period of time We can graphically see this in Exhibit 420 by looking at where the three benchmarks rank over the ve-year period The chart illustrates that all three benchmarks ranked in the 3rd or 4th quartiles We should keep this in mind when making any assessment of CAM s relative outperformance over historical periods..

I felt, more than I saw, many animals (principally cats) passing by me and pushing me aside, as I went downstairs in broad daylight in our house at Clifton during several months in 1886 and 1887.18

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