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Carrier Ethernet services are defined from a subscriber perspective (and hence they re also referred to as retail services ). As shown in Figure 2.6, the MEF has developed an Ethernet Services Definition Framework that defines any Carrier Ethernet service in terms of a predefined Ethernet service type. Each of these Ethernet service types (described next) are, in turn, defined by a set of Ethernet service attributes that define its capabilities. Some of these attributes apply to the UNI, others to the EVCs, and still others to both the UNI and EVCs associated with the service type. Specific parameters associated with each of these Ethernet service attributes ultimately define the Ethernet service fully. This seemingly complicated approach is also illustrated in Figure 2.6, but it will become clearer when real-life examples are discussed later in the chapter. It is helpful to remember that every service is defined in terms of a service type and invariably has a set of UNI and EVC attributes13 that will uniquely define it. Before delving into the specific service types (which are defined in terms of the Ethernet service attributes), it is useful to understand these service attributes.

Once again, this case points out how much more can be seen with dermoscopy over naked eye examination or with the other nondermoscopic magnification clinicians use. Regression by itself is an independent, potentially high risk criterion. The more the regression filling a lesion, the greater the chance that it is a melanoma. Regression can be found in benign lesions.

TIME S UP!

6.8.4 Solved Example for Design of Single Span Slab Bridge:

Part I:

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including initiation, locating real estate, negotiating buy or lease contracts, and so forth. Each phase has a target for the amount of time it should take, so the time in each phase became a KPI. Each KPI is assigned a weight and then all the KPIs for the various phases are rolled up into one overall KPI that is used to sort projects. Those with the worst scores are the ones spending longer than planned in various phases, and these troublesome projects were easier to identify and examine. One question about this scorecard might be, Wouldn t a report have worked just as well Couldn t the customer have just listed out the troublesome projects based on the criteria mentioned Certainly that s possible, but scorecards created with PerformancePoint Server have the ability to link to a strategy map (described next), analytic tools such as charts and graphs, and more. An online report could have contained some of this interactivity, but having the ability to easily identify a problem project, expand it to see the KPIs for each phase, and then assess their health proved to be an ideal way to present the information to project managers and upper level management. It s also important to remember that some scorecards focus on a single perspective and a very narrow set of KPIs, while many others include multiple perspectives and therefore are often broader in scope and far more high level than most traditional reports, which tend to focus on details.

"this is one argument"

5

The IMA service needs to be restarted for the data-store polling interval change to take effect Prior to MetaFrame Presentation Server 30, with a small number of servers in a farm, 30-minute queries are not noticeable As the farm grows in size, more servers are querying the data store and the response time may increase This is especially an issue with farms prior to MetaFrame Presentation Server XP with Feature Release 3 In large farms, an incorrectly sized data store can consume all of its processing time just responding to the periodic polling queries If the data store is experiencing high CPU usage when there should not be reads or writes to the data store, it is possible that the data store is not powerful enough to handle a query interval of 30 minutes.

Part I:

To determine that the data store query interval is causing the high CPU usage on the data store, the query interval can be set to a large number for testing purposes If the CPU usage returns to normal with a large query interval, then the data store query interval is probably the cause of the high CPU usage and it needs to be adjusted by trial and error To troubleshoot, set the polling interval to 60 minutes, and then restart all the servers in the farm If the data store is still experiencing constantly high CPU usage, the polling interval should be increased further However, if the CPU usage returns to normal, a smaller value should be tested Ordinarily, when a change is made to the farm, that change is sent to all the servers in the farm.

Supervision information, such as on-hook or off-hook, refers to the state of the interface. Control information, such as hold or forward, can refer to a variety of valueadded features, such as 800 or free phone services. The major contribution of the Intelligent Network and ISDN beyond older networks is primarily in the area of control. Addressing and alerting are familiar and therefore somewhat self-explanatory concepts. When a call is placed, the signaling system is responsible for:

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