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These points are well illustrated by my optimization study on the two moving average crossover system for the same portfolio of assets in 3 (see Tables 71 to 720) In my optimization study of the two moving average crossover system, I chose to examine shorter-term moving average values between 6 and 10 days using a one-step interval (ie, 6, 7, 8, 9, and 10) and longer-term moving average values set between 20 and 32 days using three-step intervals (ie, 20, 23, 26, 29, and 32) The reason behind choosing a particular set of values in an optimization study is a function of utility, distinctiveness, experience, and common sense For example, for shorter-term moving averages, there is quite a significant difference between a 6- and 7-day moving average (eg, increases the data series by one-sixth).

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schemes Telecom management systems are large and complex pieces of software that are costly to maintain One factor affecting this complexity is that system availability is typically dealt with at the application level by ad hoc fault tolerance mechanisms Thus, multiple applications reproduce almost the same recovery routines over and over again Building fault tolerance capabilities in middleware has the bene t that reliable code (for implementing fault tolerance) is produced once, there is less application code to maintain, and the failover procedures are transparent The application writer has to write very little FT-speci c code, and the client need not even notice that a server goes down while the service continues The remaining question is therefore the adequacy of average response times for serving a client request Extending an Object Request Broker (ORB) for dealing with fault tolerance properties affects timing behavior of an application.

Compared to the use of a standard non-FT ORB, we would expect the client to experience longer response times due to continuous saving of information that is recaptured after failures To measure the response time, one could sum up the chunks of time spent by a CORBA request on different segments while traveling from the client to the server object, getting processed and returning as a reply In an ORB that does not support fault tolerance, the time intervals consist of the time spent in the ORB layers and the time spent on the network transport We will refer to their sum as roundtrip time In an extended fault-tolerant ORB, the time intervals spent on segment i of the named path will increase by a certain amount ( i ) The sum of i on all segments gives the so-called overhead.

By contrast, for the longer-term moving average, use of one-step variations in our optimization study is probably not going to yield the same distinctiveness in our data series as will be achieved by staggering our steps by three This is because the difference between a 31- and a 32-day moving average only increases the data series by 1/31st and is therefore minute12 In choosing which values to include and exclude from the study, I began with the exclusion of nonsensical values (eg, 2 days as a value for our short-term moving average) and worked forward based on values used most commonly by technicians in the markets (eg, 7 days for the shorterterm moving average and 29 days for the longer-term moving average).

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