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When software applications need to look up a hostname (such as ftpdavidreillycom), they don't contact the com registry directly Your network administrator, or ISP, configures your system to access the application's DNS server, which handles the lookup process Often, however, the DNS server doesn't even need to send out a query, as the same sites will be requested (either by multiple users or a single one) This works much the same as a Web browser caching pages, and prevents excessive overload of the network When a request for a hostname (such as wwwaolcom) is made, the operating system of the client computer contacts the local DNS server on the LAN It is responsible for locating the domain server aolcom, and interrogating it to find the IP address of the hostname (wwwaolcom) To do this, it must query the "root" level domain server, which refers it to the com server Finally, the IP address is returned to the user (see Figure 3-3) Figure 3-3 Request for wwwaolcom reaches LAN DNS server and is resolved

A barrier is a synchronization construct that defines a point in a program that a group of UEs must all reach before any of them are allowed to proceed

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The bulk of the response data is a list of items matching your queryThe item forms the basis not only of Select responses but of query processing as wellAll the results are matched at the item level No comparisons are done between items, and there are no joins An ItemName value is always present in a successful response that contains data It is possible for a response to contain no data if there are no matching results or if the timeout limit is reached before any matching items were foundYou can request only ItemName without additional attributes, but if you do request attributes, they are returned as pairs with an AttributeValue for each AttributeName In the case of multi-valued attributes, a name/value pair (with the same name) is returned for each valueThe order of returned attributes is not guaranteed to match either the order you used in PutAttributes or the order in which you request them in your SelectExpression NextToken acts as a control valveThe SimpleDB service tailors the size of Select responses to keep request processing within service limitsThere are two hard service limits on the Select operationThe maximum response size is 1MB; the limit on query processing time is 5 secondsThere is also a configurable limit on the number of items in the response, with a default of 100 and a maximum of 2,500 If SimpleDB reaches any of these limits while building your Select response, the partial results are returned with a NextTokenYou can then repeatedly call Select again, passing the NextToken value with the same SelectExpression, and you will get the next page of results, either the full list of matches or until a limit is reachedA response without a NextToken signals the end of the matching items NextToken is useful for more than just restriction enforcement by SimpleDBWhen used in conjunction with the LIMIT clause, it allows some of the functionality of a database cursor, but without maintaining continuous resource allocation on the serverYou can fetch query results one at a time or in pages up to 2,500 at a timeYou can seek ahead.

As can be seen from the example in Figure 3-4, DNS requests can be cached The LAN DNS server can maintain a cache of recently requested addresses, to prevent overloading of the rootlevel domains Furthermore, this improves network performance, as the delay between requesting a domain name and receiving a response is diminished Figure 3-4 DNS server returns IP address, and caches query from another machine

Another source of data sharing overhead is communication In some parallel systems, any access to shared data implies the passing of a message between UEs This problem can sometimes be mitigated by overlapping communication and computation, but this isn't always possible Frequently, a better choice is to structure the algorithm and tasks so that the amount of shared data to communicate is minimized Another approach is to give each UE its own copy of the shared data; this requires some care to be sure that the copies are kept consistent in value but can be more efficient The goal, therefore, is to manage shared data enough to ensure correctness but not so much as to interfere with efficiency

By now it should be clear that a host on the Internet can be represented either in dotted decimal format as an IP address, or as a hostname such as ftpdavidreillycom Under Java, such addresses are represented by the javanetInetAddress class This class can fill a variety of tasks, from resoling an IP address to looking up the hostname In the next section, this important class is examined in detail

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