Garbage collection: algorithms for automatic dynamic memory management
Garbage collection: algorithms for automatic dynamic memory management
Software architecture in practice
Software architecture in practice
The Future of Systems Research
Computer
Identifying Quality-Requirement Conflicts
IEEE Software
Optimizing Dynamic Memory Management in a Multithreaded Application Executing on a Multiprocessor
ICPP '98 Proceedings of the 1998 International Conference on Parallel Processing
Dynamic Storage Allocation: A Survey and Critical Review
IWMM '95 Proceedings of the International Workshop on Memory Management
Maintainability Myth Causes Performance Problems in SMP Application
APSEC '99 Proceedings of the Sixth Asia Pacific Software Engineering Conference
A distributed component architecture for a large telecommunication application
APSEC '00 Proceedings of the Seventh Asia-Pacific Software Engineering Conference
Towards evolvable software architectures based on systems theoretic stability
Software—Practice & Experience
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This chapter presents experiences from five large performance-demanding industrial applications. Performance and maintainability are two prioritized qualities in all of these systems. We have identified a number of conflicts between performance and maintainability. We have also identified three major techniques for handling these conflicts. (1) By defining guidelines for obtaining acceptable performance without seriously degrading maintainability. (2) By developing implementation techniques that guarantee acceptable performance for programs that are designed for maximum maintainability. (3) By using modern execution platforms that guarantee acceptable performance without sacrificing the maintainability aspect. We conclude that the relevant performance question is not only if the system meets its performance requirements using a certain software design on a certain platform. An equally interesting question is if the system can be made more maintainable by changing the software architecture and compensating this with modern hardware and/or optimized resource allocation algorithms and techniques.