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The Cascading Style Sheets system significantly increases the design capabilities for a Web site. If you are a designer used to working with desktop publishing tools, you will recognize many familiar features in CSS, including the following: Commands for specifying and applying font characteristics Traditional layout measurement systems and terminology Pinpoint precision for page layout Cascading Style Sheets are able to apply many features with a simple syntax that is easy to understand. If you re familiar with the concept of using styles in a word processing program, you ll have no trouble grasping style sheets. Here s how the process works: CSS instructions are given in rules; a style sheet is a collection of these rules. A rule is a statement made up of an HTML or custom tag, called a selector, and its defined properties, referred to as a declaration. For example, a CSS rule that makes the contents of all <h1> tags (the selector) red in color (the declaration) looks like the following:

A notable exception is the mantle beneath the backarc basins where the slow velocities at shallower depths have been replaced by near zero anomalies In the transition zone (eg 530 km) the variations are in general quite small and the correlation with surface features has largely broken down Again an exception is the mantle beneath the backarc basins of the western Paci c, which, at this depth, is characterized by high velocities presumably associated with cold subducted lithosphere In the lower mantle (depths greater than 660 km) the variations in shear wave velocity are generally quite small (less than 15%), but a persistent feature is a ring of higher than average velocities beneath the rim of the Paci c This becomes particularly marked in the lowest 400 km of the mantle (eg depths of 2500 and 2750 km).

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Besides filling paths, you can also stroke paths with a tint of any color or a pattern. These strokes can be any weight (thickness), and the width of the stroke is equally distributed over each side of the path. Open paths have ends on the strokes; these ends can be cropped, rounded, or extended past the end of the stroke by half the width of the stroke. Several different paths with strokes are shown in Figure 4.9.

and hence its resources have been recovered, even in the face of system faults (eg, failures of servers, networks, clients) The client knows exactly how long it has in order to request a nal status from the service instance or to request an extension to the service s lifetime Moreover, it also knows that if system faults occur, it need not continue attempting to contact a service after a known termination time and that any resources associated with that service would be released after that time unless another client succeeded in extending the lifetime In brief, lifetime management enables robust termination and failure detection, by clearly de ning the lifetime semantics of a service instance A hosting environment is guaranteed such that resource consumption is bounded, even in the face of system failures outside of its control.

At depths greater than 2000 km, large regions of anomalously low velocity occur beneath the central Paci c, and beneath southern Africa and part of the South Atlantic..

If the termination time of a service is reached, the hosting environment can reclaim all associated resources We implement soft-state lifetime management via the SetTerminationTime operation within the required GridService interface, which de nes operations for negotiating an initial lifetime for a new service instance, for requesting a lifetime extension, and for harvesting a service instance when its lifetime has expired We describe each of these mechanisms in turn Negotiating an initial lifetime: When requesting the creation of a new Grid service instance through a factory, a client indicates minimum and maximum acceptable initial lifetimes The factory selects an initial lifetime and returns this to the client Requesting a lifetime extension: A client requests a lifetime extension via a SetTerminationTime message to the Grid service instance, which speci es a minimum and maximum acceptable new lifetime The service instance selects a new lifetime and returns this to the client.

Note that a keepalive message is effectively idempotent: the result of a sequence of requests is the same, even if intermediate requests are lost or reordered, as long as not so many requests are lost that the service instance s lifetime expires The periodicity of keepalive messages can be determined by the client based on the initial lifetime negotiated with the service instance (and perhaps renegotiated via subsequent keepalive messages) and knowledge about network reliability The interval size allows trade-offs between currency of information and overhead We note that this approach to lifetime management provides a service with considerable autonomy Lifetime extension requests from clients are not mandatory: the service can apply its own policies on granting such requests A service can decide at any time to extend its lifetime, either in response to a lifetime extension request by a client or for any other reason.

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