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Cloud Computing and SOA Convergence in Your Enterprise: A Step ...

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Def<strong>in</strong><strong>in</strong>g the Holistic Value 73<br />

the number of services that are available for reuse (NSR), the degree of reuse<br />

(DR) from system to system, <strong>and</strong> the complexity (C) of each service. The formula<br />

to determ<strong>in</strong>e value looks much like this:<br />

Value = (NSR × DR) × C<br />

Thus, if you have 100 services available for reuse (NSR = 100), the degree<br />

of reuse is 50% (DR = 0.50), <strong>and</strong> the complexity of each service is, on average,<br />

at 300 function po<strong>in</strong>ts, the value would look like this:<br />

or<br />

Value = (100 × 0.5) × 300<br />

Value = 15,000, <strong>in</strong> terms of reuse.<br />

If you apply the same formula across doma<strong>in</strong>s, with consistent measurements<br />

of NSR, DR, <strong>and</strong> C, the relative value should be the result<strong>in</strong>g metrics.<br />

In other words, the amount of reuse directly translates <strong>in</strong>to dollars saved.<br />

Also, keep <strong>in</strong> m<strong>in</strong>d that we have to subtract the cost of implement<strong>in</strong>g the services<br />

or creat<strong>in</strong>g the <strong>SOA</strong> us<strong>in</strong>g cloud comput<strong>in</strong>g, s<strong>in</strong>ce that is the <strong>in</strong>vestment<br />

we made to obta<strong>in</strong> the value.<br />

Moreover, the amount of money saved depends on your development<br />

costs, which vary greatly from company to company. Typically, you should<br />

know what you are pay<strong>in</strong>g for <strong>in</strong> function or object po<strong>in</strong>ts, so it is just a matter<br />

of multiplication to determ<strong>in</strong>e the amount of money you are sav<strong>in</strong>g by<br />

implement<strong>in</strong>g a particular <strong>SOA</strong> us<strong>in</strong>g cloud comput<strong>in</strong>g.<br />

Agility is a strategic advantage that is difficult but not impossible to measure<br />

<strong>in</strong> hard dollars. We first need to determ<strong>in</strong>e a few th<strong>in</strong>gs about the bus<strong>in</strong>ess:<br />

The degree of change over time<br />

The ability to adapt to change<br />

Relative value of change<br />

The degree of change over time is really the number of times over a particular<br />

period that the bus<strong>in</strong>ess re<strong>in</strong>vents itself to adapt to a market. While a<br />

paper production company may have a degree of change of only 5% over a<br />

5-year period, a high-technology company may have an 80% change over the<br />

same period.<br />

The ability to adapt to change is a number that states the company’s ability<br />

to react to the need for change over time. For <strong>in</strong>stance, a larger comput<strong>in</strong>g

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