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The idea of the method is as follows: Since there can be at most one keyword with the given hash value, it is enough to perform at most one string comparison of the token in the buffer to the keyword whose hash value is the same, if any, instead of doing a linear search in a constant table of all keywords, with n/2 comparisons in average, where n is the number of keywords (usually n varies from 50 to 120 in real programming languages) Here is the scheme of our algorithm to separate identi ers from keywords: Algorithm K Separate identi ers from keywords K1 (buf = identi er or keyword) : h = hash(buf); K2 if string_compare(keywords[h], buf) // This is a keyword exit (token class = token_classes[h]); Assertion at this step: hash is one-to-one for all keywords K3.

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(The Data Store)

Descriptors come in two basic layouts: pointer descriptors, in which the descriptor holds a pointer to the location of a character string stored elsewhere; and buffer descriptors, where the string of characters forms part of the descriptor.

Now the throughput X of the FES node that is also the throughput terminal requests is obtained by:

12. 13.

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Functions differ from subprocedures in that functions return a value. In the examples in this section, you ll see functions that calculate the extended price (quantity price) for a line item, create a function to calculate the total of all the taxable line items, and then apply the current tax rate to the total. Although functions can be created behind individual forms or reports, usually they re created in modules. This first function will be created in a new module that you ll name basSalesFunctions. Putting this function in a standard module makes it available to all parts of the applications. To do this, follow these steps:

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(This is an identi er -> hashed search in id_tab): Search of the identi er stored in buf in the appropriate hash list in id_tab, starting from hash_hdr[h] K4 if found (i) { id_ptr = i; exit (token class = YYID) } K5 (Not found in id_tab): Create a new id_tab entry; new_i = pointer to the new id_tab entry; Add new_i entry to the h hash list as rst element; id_ptr = new_i; exit (token class = YYID) The idea of the algorithm is as follows The lexical analyzer uses the buffer buf to store the current identi er or keyword, a constant table keywords, and a parallel constant table token_classes whose indexes h are hash values..

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In both single and double leaky bucket schemes, the bucket has finite capacity Traffic beyond the burst rate overflows the bucket and is discarded Random Early Detect Have you ever seen one of the classic lifeboat movies, in which there are too many shipwrecked survivors for the capacity of the lifeboat, and a steely-eyed hero must make the decision of who lives or dies Random Early Detect and its variants have distinct similarities to lifeboat movies, except that they have happy endings To understand the basic technology, assume a single lifeboat..er..queue RED monitors the number of packets in this queue, as a fraction of its total capacity It is aware which packets belong to which flows There is a low limit of total capacity at which RED takes no action: The lifeboat has enough space for all.

radigm. Priorities are specified by integer numbers assigned to transitions. A transition is enabled only if no other transition with a higher priority is enabled, In Fig. 2.15 a simple example of a GSPN with priorities is shown. An idle server is assigned with different priority to each type of waiting customers. Arriving customers belong to priority class i with probability qi, xi pi = 1. Recall that immediate transitions must always have priority

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