The rest of this document is organized as follows. The family is defined according to a classification of applications. We propose a family of XML benchmarks, collectively called XBench, to measure and evaluate the performance of different approaches to deal with the management of XML documents. The range of XML application and the XML data that they manage are quite varied and no one database schema and workload can properly capture this variety. Each of these benchmarks assumes a single application and defines the database schema and workload accordingly. Several application-level XML benchmarks have also been proposed: Xmach-1, Xmark and XOO7. However, these benchmarks do not directly address the requirements of XML databases (e.g., nested document structures and path expression queries).
There are several major domain-specific database benchmarks from the Transaction Processing Performance Council (TPC) such as TPC-C for OLTP (on-line transaction processing), TPC-H and TPC-R for decision support, and TPC-W for web e-commerce. The individual performance characteristics of these approaches as well as the relative performance of various systems is an ongoing concern.
A number of approaches have been proposed including using flat file systems (e.g., ), extending mature DBMS technologies such as relational DBMS (e.g., IBM DB2 XML Extender, Oracle, and Microsoft SQLS Server) or object-oriented DBMS (e.g., Ozone ), and building native XML repositories (e.g.,, Natix, and Xyleme ). Researchers in both industry and academia have been focusing on efficiently storing, manipulating, and retrieving XML documents. As a result, large amounts of XML documents are being generated, which has raised the demand for their efficient management. Because it is self-describing, it is beginning to be extensively used in various application domains such as chemistry, biology, medicine and e-business. , is a specification proposed by the World Wide Web Consortium (W3C) to complement HTML (Hypertext Markup Language) for electronic data representation and exchange on the Web. A brief discussion of other existing XML benchmarks and comparison among them will be given as well.
We discuss the general requirements for an XML DBMS benchmark, followed by a detailed explanation of the XBench, including the methodology of database generation, the workload, and the setup of test environment. The family is defined according to a classification of applications, and each class has its own database and workload. We propose a family of XML benchmarks, collectively call XBench, to measure and evaluate the performance of different approaches to deal with the management of XML documents. Researchers in both industry and academia have proposed a number of approaches to efficiently store, manipulate, and retrieve XML documents. Copyright © 2013 John Wiley & Sons, Ltd.XML is beginning to be extensively used in various application domains, and as a result, large amounts of XML documents are being generated. The second case study examines the Mining Unstructured Data benchmark framework, and the third examines the potential benefits of rendering the TPC family as a benchmark framework. As a detailed case study, we introduce τBench, a benchmark framework consisting of ten individual benchmarks, spanning XML, XQuery, XML Schema, and PSM, along with temporal extensions to each. Paramount to our notion of benchmark frameworks are the ease of describing the differences between individual benchmarks and the utility of methods to validate the correctness of each benchmark component by exploiting the overarching ecosystem. A benchmark framework is realized by iteratively changing one individual benchmark into another, say by modifying the data format, adding schema constraints, or instantiating a different workload. We introduce the notion of a benchmark framework, an ecosystem of benchmarks that are related in semantically rich ways and enabled by organizing principles. We wish to appropriate these benefits for families of closely related benchmarks, say for evaluating query engine implementation strategies.
XBENCH DATABASE SOFTWARE
Software engineering frameworks tame the complexity of large collections of classes by identifying structural invariants, regularizing interfaces, and increasing sharing across the collection.
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