FRINK Linked Data Fragments server

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• W90690056 abstract "ABSTRACT The performance of servers is currently a major factor in the success of electronic commerce services. These services and applications integrate two well-known technologies into the server: web servers operate as an interface with the clients, and database servers provide the information required in the transactions. There are well-established benchmarking technologies for both kinds of servers, but there is as yet little research into the combination of the two to provide particular services, such as electronic commerce services. The main contribution of this paper is a discussion of the issues involved in the characterization, implementation and utilization of a benchmark for performance evaluation of e-commerce servers. KEYWORDS Performance benchmark, E-Commerce server performance, Web server performance. 1. INTRODUCTION The most important aspects of the performance evaluation of e-commerce servers using benchmarking techniques are the workload characterization, the selection of appropriate metrics and the sensitivity analysis of the metrics to changes in workload or system parameters. The first aspect considered is the characterization of the workload with which to carry out the evaluation. Currently there are several models for e-commerce services. Some models are similar, there are significant differences between others. As the workload is one of the most important elements of the models, a single synthetic workload cannot represent all the current models of e-commerce services properly. To reach an appropriate level of representativeness of the synthetic workload, only one model of -commerce is echaracterized: one that fits the majority of businesses. The second aspect is to select the best metric to express the performance level a server is capable of providing. The most common performance metric is the maximum sustained throughput provided by the server under several restrictions in the response time for the transactions. Finally, the way in which the selected metric reflects the influence of possible changes on the workload parameters and on the computer system parameters must be analyzed. Obtaining information about metric behavior when the user profiles change serves to establish the applicability and validity of a benchmark for wider or narrower e-commerce scenarios. Gaining insight into metric behavior when the system parameters change is essential to assess the applicability and utility of a benchmark in order to support decisions on dimensioning and scaling [Menasce2000] of e -commerce servers. This research shows how a benchmark achieves generalized usefulness and applicability for the evaluation of -commerce server performance. There is no intention to develop a new e -commerce ebenchmark, but to use existing ones. Some benchmarks have been developed for research purposes, such as WebTP [Jutla1999a] a web-based order management system, or WebEC [Jutla1999b][Bodorik2000] a generic e-broker site. Other benchmarks have been developed by the IT industry following two different approaches. In the first approach, specific -commerce applications were customized to be used fore benchmarking purposes, such as on-line financial management services [NSTL1999], e-commerce solutions" @default.
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• W90690056 date "2003-01-01" @default.
• W90690056 modified "2023-09-26" @default.
• W90690056 title "Performance Evaluation of E-Commerce Servers Using the TPC-W Benchmark." @default.
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