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A variety of different classes of systems demand high performance These include realtime avionics applications, process control systems, and image processing applications as well as different types of telecommunication products such as voice and data switches Two performance metrics are of special interest in such applications and are de ned next Response Time is a measure of latency It is the difference in time between the arrival of a request or an event and the time at which response to the request is completed Throughput is a measure of system capacity It is typically measured in number of requests completed per unit time Performance-sensitive applications demand low latency and high throughput A desirable attribute of most systems is scalability A system is called scalable if its throughput grows in proportion with an increase in workload.

Although middleware provides interoperability, if not designed carefully, middlewarebased systems can incur a severe performance penalty A number of papers have captured the performance limitations of several CORBA-based middleware products The limitations of the original CORBA standard in providing real-time QoS, and in handling partial failures are described in [16] The paper also presents a CORBA-based framework that uses the Virtual Synchrony model to build reliable distributed systems through synchronous method invocations and asynchronous message passing Using load-balancing techniques on systems that consist of replicated objects can lead to an improvement in system performance The integrating of load balancing with name service is proposed in [5] CORBA has been used in the context of various applications The performance of a group membership protocol based on CORBA is discussed in [19].

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This paper provides a performance comparison of three implementations of a group membership protocol: one implementation uses UDP sockets, while the other two use CORBA for communication The paper demonstrates that CORBA can be used to implement high-performance group.

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<% double Investment = 0; Investment=Integer.parseInt(request.getParameter( Amount )); int Year=2001; double Rate = 0; Rate=Integer.parseInt(request.getParameter( Rate )); int Counter=1; while (Counter<26) { Year=Year + 1; Investment=Investment + (Investment * (Rate*.01)); %> <TR> <TD><font face= Bookman Old Style ><%=Year%></font></TD> <TD><font face= Bookman Old Style ><%=Investment%></font></TD> </TR> <% Counter = Counter+1; } %> </TABLE>

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The previous two chapters gave you an introduction to XML syntax and to the various ways of constraining XML documents. In this chapter, you'll learn the various ways in which you can use Java programs to parse, navigate an XML document using the tree structure, and to create XML. You'll learn two basic methods of working with an XML document. Either you will listen for events that the parser generates while moving through a document, or you will want to work with hierarchical view of the document. There are various APIs for working with XML. There are the Simple APIs for XML (SAX), the APIs that support the Document Object Model (DOM), and a more Java friendly set of APIs called JDOM. In this chapter, you'll use Sun Microsystem's Java APIs for XML Parsing, better known as JAXP. JAXP supports both SAX and DOM. JAXP allows you to use its default parser or to plug in your favorite parser. Depending on how you configure the parser and what your needs are, you can then respond to events using a SAX based parser or use the DOM to be able to manipulate and alter an XML document.

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