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                              | Understanding quality of service for Web services Improving 
                                the performance of your Web services |  
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                                    | throughout an enterprise. Message queues provide two major advantages: It is asynchronous: A messaging service provider can deliver messages to the requestor as
                                          they arrive and the requestor does not have to request messages in order to receive them.It is reliable: A messaging service can ensure that a message is delivered once and only
                                          once.
                                           In the future, Publish & Subscribe messaging systems over the Internet such as the Utility Services package from alphaWorks , can be used for Web service invocations (see Resources).  Private WANs and Web service networks                                             Use of private WANs/extranets and Web services networks can be a suitable option for businesses 
                                            depending on Web services which are mission-critical. These private networks provide low network 
                                            latency, low congestion, guaranteed delivery, and non-repudiation. However, in some cases it could 
                                            be costly to have a private network.                                           SOAP and performanceSOAP is the defacto wire protocol for Web services. SOAP performance is degraded because of the 
                                          following:
 Extracting the SOAP envelope from the SOAP packet is time-expensive.
                                       Parsing the contained XML information in the SOAP envelope using a XML parser is also timeexpensive.                                      
                                       There is not much optimization possible with XML data.                                      
                                       SOAP encoding rules make it mandatory to include typing information in all the SOAP messages 
  sent and received.                                      
                                       Encoding binary data in a form acceptable to XML results in overhead of additional bytes added 
  as a result of the encoding as well as processor overhead performing the encoding/decoding.
                                           The XML processor must be loaded, instantiated, and fed with the XML data. Then the method call 
                                                    argument information must be discovered. This involves a lot of overhead as XML processors grow 
                                              to support more XML features.   The role of the XML parser in SOAP performance                                             Most existing XML parsers are too expensive in terms of code size, processing time, and memory 
                                                      foot print because these parsers have to support a number of features like type checking and 
                                                      conversion, wellformedness checking, or ambiguity resolution. All these make XML parsers require 
                                                      more computing resources. Some applications can consider using of stripped down version of XML 
                                              parser which have a small code size and memory foot print.                                           Also, most of the current SOAP implementations are Document Object Model (DOM) based. DOM 
                                                    parsers are inherently slow to parse the messages. SAX-based SOAP implementations can be usedto increase throughput, reduce memory overhead, and improve scalability.
  Compressing XML                                             SOAP uses XML as its payload. And if we consider thousands of SOAP messages being transmitted 
                                                      over the Web, the network bandwidth is being pushed to its limit. XML’s way of representing data 
                                                      usually results in a substantially larger size than representing the same data in binary, which is on 
                                                      average 400% larger. This increase of the message size creates a critical problem when data has to 
                                                      be transmitted quickly, which effectively results in increase of the data transmission time. Some 
                                              application designs should consider techniques for compact and efficient representation. One of the |  |  
                              | June   2008 | Java Jazz Up | 42 |  
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