Abstract
Successful deployment of open distributed processing requires integrated performance management facilities. This paper describes measurement and modeling technologies that provide quality of service (QoS) measures and projections for distributed applications. The vital role of performance instrumentation and modeling is applied to the Reference Model for Open Distributed Processing. We discuss an architecture and prototype for an efficient measurement infrastructure for heterogeneous distributed environments. We present an application model useful for application design, deployment and capacity planning. We demonstrate that integrated measurement and modeling yields the QoS measures that guide application deployment and increase management capability.
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© 1995 Springer Science+Business Media Dordrecht
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Friedrich, R., Martinka, J., Sienknecht, T., Saunders, S. (1995). Integration of Performance Measurement and Modeling for Open Distributed Processing. In: Raymond, K., Armstrong, L. (eds) Open Distributed Processing. IFIP — The International Federation for Information Processing. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-34882-7_27
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DOI: https://doi.org/10.1007/978-0-387-34882-7_27
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