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Physical Sciences and Mathematics Commons™
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Numerical Analysis and Scientific Computing
Research Collection School Of Computing and Information Systems
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- Bank data processing (1)
- Communication capacity (1)
- Computing system (1)
- Concurrent application (1)
- Conventional load (1)
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- Dc data (1)
- Elaborate study (1)
- Flexible solution (1)
- Independent task (1)
- Individual workstation (1)
- Load distribution (1)
- Mapping phase (1)
- Market data (1)
- Object-oriented programming (1)
- Partitioning phase (1)
- Realistic concurrent application (1)
- Software metrics (1)
- Software reusability (1)
- Software tools (1)
- Solution approach (1)
- Study deal (1)
- Subject dc (1)
- Traded commodity (1)
- Workstation cluster (1)
- Workstation network (1)
Articles 1 - 2 of 2
Full-Text Articles in Physical Sciences and Mathematics
A Load Distribution Through Competition For Workstation Clusters, Kam Hong Shum, Muslim Bozyigit
A Load Distribution Through Competition For Workstation Clusters, Kam Hong Shum, Muslim Bozyigit
Research Collection School Of Computing and Information Systems
The aim of this work is to develop a competition driven solution approach for load distribution in distributed computing system (DCS) environments. The subject DCS is composed of a set of workstation clusters. The study deals with concurrent applications, but assumes the existence of the independent tasks executing on individual workstations as well. Akin to conventional load balancing algorithms, the approach considers two phases; the partitioning phase and the mapping phase. Each phase is based on the application and the DCS data which is translated into market data, mainly price. The price is governed by the demand and supply of …
Automating Output Size And Reuse Metrics In A Repository-Based Computer-Aided Software Engineering (Case) Environment, R. D. Banker, Robert J. Kauffman, C. Wright, D. Zweig
Automating Output Size And Reuse Metrics In A Repository-Based Computer-Aided Software Engineering (Case) Environment, R. D. Banker, Robert J. Kauffman, C. Wright, D. Zweig
Research Collection School Of Computing and Information Systems
Measurement of software development productivity is needed in order to control software costs, but it is discouragingly labor-intensive and expensive. Computer-aided software engineering (CASE) technologies-especially repository-based, integrated CASE-have the potential to support the automation of this measurement. We discuss the conceptual basis for the development of automated analyzers for function point and software reuse measurement for object-based CASE. Both analyzers take advantage of the existence of a representation of the application system that is stored within an object repository, and that contains the necessary information about the application system. We also discuss metrics for software reuse measurement, including reuse leverage, …