Um monitor de metadados de QoS e QoC para plataformas de middleware
Context-aware applications are typically dynamic and use services provided by several sources, with different quality levels. Context information qualities are expressed in terms of Quality of Context (QoC) metadata, such as precision, correctness, refreshment, and resolution. On the other hand, ser...
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| Formato: | doctoralThesis |
| Idioma: | por |
| Publicado em: |
Universidade Federal do Rio Grande do Norte
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| Endereço do item: | https://repositorio.ufrn.br/jspui/handle/123456789/17959 |
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| Resumo: | Context-aware applications are typically dynamic and use services provided by several
sources, with different quality levels. Context information qualities are expressed in terms
of Quality of Context (QoC) metadata, such as precision, correctness, refreshment, and
resolution. On the other hand, service qualities are expressed via Quality of Services
(QoS) metadata such as response time, availability and error rate. In order to assure that
an application is using services and context information that meet its requirements, it is
essential to continuously monitor the metadata. For this purpose, it is needed a QoS and
QoC monitoring mechanism that meet the following requirements: (i) to support
measurement and monitoring of QoS and QoC metadata; (ii) to support synchronous and
asynchronous operation, thus enabling the application to periodically gather the
monitored metadata and also to be asynchronously notified whenever a given metadata
becomes available; (iii) to use ontologies to represent information in order to avoid
ambiguous interpretation. This work presents QoMonitor, a module for QoS and QoC
metadata monitoring that meets the abovementioned requirement. The architecture and
implementation of QoMonitor are discussed. To support asynchronous communication
QoMonitor uses two protocols: JMS and Light-PubSubHubbub. In order to illustrate
QoMonitor in the development of ubiquitous application it was integrated to OpenCOPI
(Open COntext Platform Integration), a Middleware platform that integrates several
context provision middleware. To validate QoMonitor we used two applications as proofof-
concept: an oil and gas monitoring application and a healthcare application. This work
also presents a validation of QoMonitor in terms of performance both in synchronous and
asynchronous requests |
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