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Our discussion to this point focuses on the problem space in an abstract sense. The rhetorical question that requires speci city is: WHAT problem is the User attempting to solve Before any solution analysis can proceed, it is crucial for you and your development team, preferably in collaboration with the User, to simply document WHAT problem the User is attempting to solve. You need to de ne a problem statement. Ultimately this leads to the question: HOW should a problem statement be written Although there are a number of ways of developing a problem statement, there are some general guidelines to apply: 1. Avoid identifying the source or root cause of a problem. 2. Identify the operational scenario or operating conditions under which the problem occurs. 3. Avoid stating any explicit or implicit solutions.



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[28] suggest limiting end-to-end ACKs to approximately one in every 100 packets because the possibility of non-delivery from proxies is low (because there is little distance between them and the end-to-end mechanism of TCP already regulates the traf c rate) Figure 1010 illustrates the principal operation of Split TCP Note that the proposed modi cations do not require crosslayer information but have to be implemented in a point-to-point fashion that is, at every node along the communications path Simulation results in Kopparty et al [28] show that Split TCP with an inter-proxy distance between 3 and 5 hops can increase throughput in a range of 5 30% and may also improve fairness On the downside, in order for the proxies to be able to function, large buffer space may be required.

Consider the following example:





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Note that the example does not specify: WHERE the viruses originate, the source or root cause of the problem, WHAT the impact is, or HOW to solve the problem.

Also note that Split TCP overrides the end-to-end semantics of TCP and requires transport protocol level manipulation of segments at.

(1) acquisition cost (2) + recurring revenues (3) recurring cost to serve (4) + up-selling, cross- selling (5) credits, returns

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May 4, 2010 · If you decide to sign up, you'll be able to choose from several recognition languages and output formats, as well as upload several files at the same time of up to 30MB total. You'll start with 5 credits, whereas one credit allows you to upload one image file (single or multipage) and recognize one page.

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As your understanding of the problem space matures, the next step is to partition it into one or more solution spaces. Work with system stakeholders to partition the complex problem space into more manageable solution spaces. The identi cation of one or more solution spaces requires highly iterative collaboration, analysis, and decision making. Consider the challenge of attempting to partition the ambiguous problem space shown at left side of Figure 14.1. Through partitioning, our objective is to isolate key properties and characteristics of the problem as abstractions that enable us to ultimately develop solutions. Author s Note 14.1 Problem solving requires establishing a conceptual solution as a starting point. This solution may evolve throughout the process and may not be recognizable at completion. Some people are very ineffective at conceptualizing the starting point. One approach is to gather the facts about a problem space and create DRAFT solution space boundaries. Then, as the analysis progresses, adjust the boundaries until decisions about the solution space boundaries mature or stabilize. The key point is: some problem spaces are described as wicked due their dynamic nature and are effectively unsolvable. In general, you have a choice: 1. Flounder in the abstractness, or 2. Make a decision, move on to the next decision, and then revisit and revise the original decision when necessary.

The level of risk and degree of urgency of the problem space as a whole or portions thereof may in uence or drive solution space decisions, especially, where budgets or technology are constrained. The net result may be a decision to prioritize solution spaces and levels of capability within solution spaces. We meet this challenge by establishing an Initial Operational Capability (IOC) at system delivery and acceptance. Then, as budgets or technologies permit, IOC is followed by a series of incremental builds that enhance the overall capability. Finally, as the system matures with the integration of the builds, an overall capability, referred to as a Full Operational Capability (FOC), is achieved. To illustrate the partitioning of the problem space into solution spaces, consider the graphic in Figure 14.2. Symbolically, we begin with a problem space represented by a large box. Next, we partition the box into ve solution spaces, each focused on satisfying a set of problem space capability and performance requirements allocated to the solution space. Initially we could have started with four or six solution spaces. Through analysis, we ultimately decide there should be ve solution spaces. So, HOW does this relate to system development The large box symbolizes the total system solution. We partition the complexity of the system solution into PRODUCT level or SUBSYSTEM level solution spaces. Let s explore this point further.

14.4 Understanding the Solution Space(s)

Figure 10.10. The functionality of Split TCP over an 11-hop string topology featuring an inter-proxy distance of 4.

Abstract Problem Space (Analytical Representation) Solution Space #2

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