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The problem of exploiting page access dependencies can be modeled as a graph-optimization problem, for which we have devised an O( n)-approximation algorithm [60] We have also proposed a sequence of simpler heuristics that exploit page access dependencies We measured the resulting client-perceived delay on multiple Web server traces, and observed a speed-up over previous methods ranging from 8% to 91% [59] 1044 Multicast Pull Scheduling In multicast pull, clients make explicit requests for resources, and the server multicasts its responses If several clients ask the same resource at approximately the same time, the server can aggregate those requests and multicast the corresponding resource only once The multicast pull scheduling component resolves contention among client request for the use of the warm multicast channel and establishes the order in which pages are sent over that channel The multicast pull scheduling component operates only at the server. crystal reports barcode font encoder ufl Crystal Reports Barcode Font Encoder UFL by IDAutomation | SAP ... 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Rating 4.8 stars (33) There are many reasonable objective functions to measure the performance of a server, but by far the mostly commonly studied measure is average user-perceived latency, or equivalently average ow/response time, which measures how long the average request waits to be satis ed In traditional unicast pull dissemination, it is well known that the algorithm Shortest Remaining Processing Time (SRPT) optimizes average user-perceived latency The most obvious reason that the situation is trickier for the server in multicast pull data dissemination, than for unicast pull data dissemination, since the server needs to balance the con icting demands of servicing shorter les and of serving more popular les To see that the situation can even be more insidious, consider the case that all of the documents are of unit size Then the obvious algorithm is Most Requests First (MRF), which always transmits the document with the most outstanding requests. 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In fact, one might even initially suspect that MRF is optimal in the case of unit-sized documents However, it was shown in [47] that MRF can perform arbitrarily badly compared to optimal The basic idea of this lower bound is that it can be a bad idea to immediately broadcast the most popular document if more requests will arrive immediately after this broadcast Thus, one sees that the multicast pull server has to also be concerned about how to best aggregate requests over time The standard redress in situations where a limited algorithm cannot produce optimal solutions is to seek algorithms that produce solutions with bounded relative error (ie, competitive analysis) However, it was shown in [47, 30] that no algorithm can achieve. The response codes are a good illustration of the resemblance of SIP to HTTP. The response code 404 Not Found is reminiscent of web browser error codes. FIGURE 4.2-25 Figure 4-2. Racemic HA analogs (part IC50 values in parentheses). 3 X Y 1 X 1 Y 1 Y 1 X 1 Y 1 al1 j1 1 exp j1 l1 j1 exp j1 l1 j1 = ; j1 1 Y 1 X 1 Y 1 1 2 3 4 5 6 7 (17) The message queue is a fundamental concept within MOM. Queues provide the ability to store messages on a MOM platform. MOM clients are able to send and receive messages to and from a queue. Queues are central to the implementation of the asynchronous interaction model within MOM. A queue, as shown in Figure 1.5, is a destination where messages may be sent to and received from; usually the messages contained within a queue are sorted in a particular order. The standard queue found in a messaging system is the First-In First-Out (FIFO) queue; as the name suggests, the rst message sent to the queue is the rst message to be retrieved from the queue. Many attributes of a queue may be con gured. These include the queue s name, queue s size, the save threshold of the queue, message-sorting algorithm, and so on. Queuing is of particular bene t to mobile clients without constant network connectivity, for example, sales personnel on the road using mobile network (GSM, GRPS, etc) equipment to remotely send orders to head of ce or for remote sites with poor communication infrastructures. These clients can use a queue as a makeshift inbox, periodically checking the queue for new messages. Potentially each application may have its own queue, or applications may share a queue, there is no restriction on the setup. Typically, MOM platforms support multiple queue types, each with a different purpose. Table 1.1 provides a brief description of the more common queues found in MOM implementations. 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