Quality Sensitive Web Service Profiling and Discovery: In Support of Mobile and Pervasive Applications

  • Sherif G. Aly
  • Ahmed M. Hamza


Web services present themselves as very appealing components in building mobile and pervasive systems. Some of their usage includes data fusion, data format adaptation, support for privacy, backend computational support for functionalities that are simply not practically achieved using resource limited devices, and even compensation for missing sensors on mobile devices. However, as technology recesses into the background and weaves itself into the fabric of daily lives, providing quality of service guarantees for Web service consumption is extremely necessary. Simply selecting a set of matched services offering the same functional requirements, and that claim their own quality of service guarantees is not enough. In this research, and in support of mobile and pervasive systems requiring Web services, we present a policy-based third party system for dynamically measuring relevant Quality of Service (QoS) metrics of Web services, and maintaining these measurements in a modified UDDI that is sensitive for QoS needs made during subsequent look-up requests. Our third independent and trusted party dynamically acquires QoS relevant measurements from Web services. It adopts a policy-based mechanism as a foundation for the measurement acquisition process between this third party and the Web service provider. The maintained measurements are subsequently used as a primary determinant in service lookup requests made by service consumers. A constraint satisfaction matchmaking and service ranking algorithm satisfying both of the service requestor and provider needs and capabilities is used. Our evaluation of this approach indicates a tolerable overhead associated with the introduction of the third party monitoring process.


Soap Message Profile Manager Nonfunctional Requirement Lookup Directory Invocation Parameter 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag London Limited 2012

Authors and Affiliations

  • Sherif G. Aly
    • 1
  • Ahmed M. Hamza
    • 1
  1. 1.Department of Computer Science and EngineeringThe American University in CairoCairoEgypt

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