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ACM Transactions on Computer Systems (TOCS)
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SIGMOD '91 Proceedings of the 1991 ACM SIGMOD international conference on Management of data
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SIGMETRICS '94 Proceedings of the 1994 ACM SIGMETRICS conference on Measurement and modeling of computer systems
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WSC '95 Proceedings of the 27th conference on Winter simulation
Focus on Openview: A Guide to Hewlett-Packard's Network and Systems Management Platforms
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Performance Engineering of Software Systems
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Performance Evaluation of Client-Server Systems
IEEE Transactions on Parallel and Distributed Systems
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IEEE Transactions on Software Engineering
IEEE Transactions on Software Engineering
Software Bottlenecking in Client-Server Systems and Rendezvous Networks
IEEE Transactions on Software Engineering
Performance Engineering of Distributed Software Process Architectures
MMB '95 Proceedings of the 8th International Conference on Modelling Techniques and Tools for Computer Performance Evaluation: Quantitative Evaluation of Computing and Communication Systems
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ICCS '02 Proceedings of the International Conference on Computational Science-Part I
PCM '02 Proceedings of the Third IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Human exploration and development of space: using XML database space wide web
Information Sciences—Informatics and Computer Science: An International Journal - Internet computing
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IWSSD '00 Proceedings of the 10th International Workshop on Software Specification and Design
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We present a case study in using simulation at design time to predict the performance and scalability properties of a large-scale distributed object system. The system, called Consul, is a network management system designing to support hundreds of operators managing millions of network devices. It is essential that a system such as Consul be designed with performance and scalability in mind, but due to Consul's complexity and scale, it is hard to reason about performance and scalability using ad hoc techniques. We built a simulation of Consul's design to guide the design process by enabling performanace and scalability analysis of various design alternatives. A major challenge in doing design-time simulation is that many parameters for the simulation are based on estimates rather than measurements. We developed analysis methods that derive conclusions that are valid in the presence of estimation errors. In this article, we describe our scalability analysis method for design simulations of distributed object systems. The main idea is to use relative and comparative reasoning to analyze design alternatives and compare transaction behaviors. We demonstrate the analysis approach by describing its application to Consul.