Indexing and Querying XML Data for Regular Path Expressions
Proceedings of the 27th International Conference on Very Large Data Bases
Investigating the Limits of SOAP Performance for Scientific Computing
HPDC '02 Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing
XML parsing: a threat to database performance
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
XML screamer: an integrated approach to high performance XML parsing, validation and deserialization
Proceedings of the 15th international conference on World Wide Web
MapReduce: simplified data processing on large clusters
OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
Parallel XML Parsing Using Meta-DFAs
E-SCIENCE '07 Proceedings of the Third IEEE International Conference on e-Science and Grid Computing
High performance XML parsing using parallel bit stream technology
CASCON '08 Proceedings of the 2008 conference of the center for advanced studies on collaborative research: meeting of minds
| Hi-index | 0.00 |
XML has ability to enable data interoperability between applications on different platforms. For example, XML enhances e-commerce, communication between businesses, and companies' internal integration of data from multiple sources. XML use is thus increasing rapidly. However, XML's growing implementation raises a key concern: Because it provides considerable metadata about each element of a document's content, XML files can include a great deal of data. They can thus be inefficient to process and can burden a company's network, processor, and storage infrastructures. Goal of web service is to give wide support for loosely-coupled interactions. But, at the same time, web services decrease performance in favor of qualities such as readability and portability. Performance still matters and awareness of the performance costs of design decisions will benefit both practitioners and researchers alike. XML has been criticized for the overhead it introduces into the enterprise infrastructure. Business data encoded in XML takes five to ten times more bandwidth to transmit in the network and proportionally more disk space to store. This paper surveys the current issues and state-of-the-art regarding XML Web services performance. We discuss some bottleneck, and examine current and proposed solutions.