
QoS, that defines service quality such as latency, availability, timeliness and reliability, is important for Web applications that provide real-time information, multimedia content, or time-critical services. Many Web applications require a guaranteed server processing capacity. We study the QoS control issues using the current Web services standards. We propose a QoS Web service architecture, QCWS, by deploying a QoS broker between Web service clients and Web service providers. In the QCWS architecture, a QoS broker collects the QoS information about service providers that may offer qualified Web services to a client, makes selection decisions based on some cost criteria, and negotiates with servers to secure QoS service commitment from one of them. We have implemented a QCWS prototype using IBM WSDK, enhanced with simple QoS capabilities. We have also measured the performance running under different service priorities.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 12 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
