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requirements whether the customer has explicit knowledge of these services, including any delivery objectives, or not It has authority to make decisions about the delivery of the entire portfolio of services Different aspects of an individual service can be visible to a customer (individual person, corporate or another service provider), or not In TMF, the two viewpoints of a service are known as customerfacing and resource-facing services, respectively To carry out service management, both aspects need to be addressed Service management is a central part of a service provider s business processes as it has a major impact on every other area, thus requiring interworking with many other business processes As the telecom business matures, the complexity of service management increases The major reasons for that are: 1 End-user requirements make services themselves more complex 2 New business models make service management more distributed 3.

Competition between service providers increases the need for Operational Expenditure (OPEX) savings 4 Rapid evolution of technologies make the overall environment more complex and diversi ed End-user driven service creation together with convergence and new technologies will result in a larger number of services needing to be built for smaller target segments, where the renewal of services is faster and the lifecycle of the services is shorter For service management this also means a quickly changing product portfolio to manage OPEX can be reduced at least two ways Different kind of services can be partly produced by common infrastructure and technology An example of this is Session Initiation Protocol (SIP) technology, which can be used to amend existing technologies while interfacing to legacy equipment, and thus reduce operative costs through a more uni ed environment.

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Queueing is the basis of the implementation of required egress behaviours. Different vendors provide widely differing numbers of queues on their devices, some using softwarebased queues (less common today) and others using hardware-based queues. The primary basis of providing preferential treatment to particular packets is to service different queues at different rates. For example, going back to the earlier example of four services, gold, silver, bronze, and best effort, it might be that the gold queue is served 4 times, silver served 3 times, bronze served twice and best efforts served once (a total of 10 units of service) (see Figure 9.4). This is a somewhat simple example but it demonstrates the point.

However, this kind of strategy is not so feasible in the short term due to Capital Expenditures (CAPEX) and immaturity of technologies Another way is to have Operations Support Systems (OSS) and Business Support Systems (BSS) capable of managing a multi-technology environment..

A simple laboratory experiment making the poly(dimethylsiloxane) or silly putty involves the hydrolysis of dichlorodimethylsilane at elevated temperatures followed by a thermal borate crosslinking at 180 C (34). Both steps are condensation reactions. The resulting polymer can be characterized using methods noted in 3 as well as by the qualitative characterizations noted in the laboratory manual.

((m + 1)/2) I2 = 4d m (m/2)

Despite the dramatic developments in quantum-driven light technology, one assumption has been reinforced by the new science. The speed of light had always been considered the fastest thing around. Einstein not only con rmed this, but established it as an apparently unbreakable barrier. Exceed the speed of light and time would actually move backwards. Thanks to Einstein s theory, it s safe to say that nothing solid can ever reach light speed. However tiny the object, it will become heavier and heavier as it nears that velocity and the amount of effort required to move it will grow. All the energy in the universe wouldn t be enough to get it moving fast enough. But light itself has no choice but to travel this quickly and with special techniques it can even be pushed past the limit. In recent experiments, light was routinely travelling at over four times its normal speed. Moving at this remarkable rate, the experimenters pulses of light

satellites will be used in the solution. This avoids step functions in the GPS positions as a result of the loss and gain of satellites. It enables the use of height aiding in the solution, i.e. removes one of the unknown parameters, thus one less satellite is required for the computation. The resolution and accuracy of the DTM must be suf ciently high, or a signi cant error will be introduced in the position estimation. Computation of position using pseudoranges also enables the calculation and use of pseudorange corrections, derived from the digital road network data virtual DGPS (VDGPS). A method of modelling Selective Availability (S/A) is described in 6, although in the long term S/A-introduced error will reduce to approximately a Gaussian distribution (random error), in the short term (20 seconds) the effect of S/A can be viewed as a slowly varying bias [Scott, 1994]. S/A will move the point position of a stationary receiver by approximately 10 m to 30 m per minute. 3.2. The Algorithm

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