Accommodating qos prediction
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The last decade has seen a widespread adoption of web-services as the medium for platform-independent and language-neutral communication amongst applications over the web (Park et al. In the present day an increasing number of businesses are planning to developing future solutions that leverage the Web-Service technology.
Various low-level mechanisms can be used to aid this, including locks, semaphores, mutexes and queues.
Resource management for dynamic, distributed real-time systems requires handling of unknown arrival rates for data and events; additional desiderata include: accommodation of heterogeneous resources, high resource utilization, and guarantees of real-time quality-of-service (Qo S).
Members of the research community argue that the success of critical business applications highly depends on the selection of Web-services that meet certain Quality of Service (Qo S) properties (Shao et al. The current web-services architecture is based on three main entities as described by Ambrosi et al.
(2005) in : Service Providers: They develop web-services, publishing their web-service descriptions (in the form of a WSDL file) with registries and deal with requestor invocations of the web service.
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Predicting the task execution times has been studied in grid and distributed computing contexts with different objectives and assumptions. The specific contributions of this paper are: Qo S monitoring and resource usage profiling; prediction of real-time Qo S (via interpolation and extrapolation of execution times) for heterogeneous resource platforms and dynamic real-time environments; and resource contention analysis. This paper describes the techniques employed by a resource manager that addresses these issues.The specific contributions of this paper are: Qo S monitoring and resource usage profiling; prediction of real-time Qo S (via interpolation and extrapolation of execution times) for heterogeneous resource platforms and dynamic real-time environments; and resource contention analysis.Lecture notes in computer science ISSN 0302-9743 Congrès Parallel and distributed processing : ( Cancun, 1- ) 15 IPDPS 2000 workshops, Cancun , MEXIQUE (01/05/2000) 2000 , vol.