Waters, A. Gill, Linington, Peter F., Akehurst, David H., Utton, Peter, Martin, Gino (2001) Permabase: predicting the performance of distributed systems at the design stage. IEE Proceedings: Software, 148 (4). pp. 113-121. ISSN 1462-5970. (doi:10.1049/ip-sen:20010553) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:13574)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
Official URL: http://dx.doi.org/10.1049/ip-sen:20010553 |
Abstract
The use of distributed systems is now critical to many organisations. Designing software for these systems can be complex and there are growing demands on the performance of systems as they become increasingly large-scale. Timeliness is no longer just a matter of response time, as there can be stringent delay requirements for real-time multimedia traffic. In this paper we describe the Permabase project funded by BT, which produced prototypes to predict software performance automatically at the systems design stage. The paper discusses the Permabase rationale and describes the architecture and details of the prototype systems and its validation using case studies. We discuss the use of UML as a mechanism for capturing the information needed for performance prediction modelling and show how translation enabled us to produce simulation models. We review the achievements of the project and look forward to ways in which the work could be enhanced and built upon to encompass a greater range of systems.
Item Type: | Article |
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DOI/Identification number: | 10.1049/ip-sen:20010553 |
Uncontrolled keywords: | permabase, distributed systems, simulation, performance |
Subjects: | Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Depositing User: | Mark Wheadon |
Date Deposited: | 24 Nov 2008 17:59 UTC |
Last Modified: | 05 Nov 2024 09:47 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/13574 (The current URI for this page, for reference purposes) |
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