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| Content Provider | Springer Nature Link |
|---|---|
| Author | Reineke, Jan Grund, Daniel Berg, Christoph Wilhelm, Reinhard |
| Copyright Year | 2007 |
| Abstract | Hard real-time systems must obey strict timing constraints. Therefore, one needs to derive guarantees on the worst-case execution times of a system’s tasks. In this context, predictable behavior of system components is crucial for the derivation of tight and thus useful bounds. This paper presents results about the predictability of common cache replacement policies. To this end, we introduce three metrics, evict, fill, and mls that capture aspects of cache-state predictability. A thorough analysis of the LRU, FIFO, MRU, and PLRU policies yields the respective values under these metrics. To the best of our knowledge, this work presents the first quantitative, analytical results for the predictability of replacement policies. Our results support empirical evidence in static cache analysis. |
| Starting Page | 99 |
| Ending Page | 122 |
| Page Count | 24 |
| File Format | |
| ISSN | 09226443 |
| Journal | Real-Time Systems |
| Volume Number | 37 |
| Issue Number | 2 |
| e-ISSN | 15731383 |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2007-08-23 |
| Publisher Place | Boston |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Predictability Timing analysis Cache analysis Cache replacement policies Hard real-time systems Control Engineering Performance and Reliability Special Purpose and Application-Based Systems Communications Engineering, Networks Computer Systems Organization and Communication Networks |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Optimization Computer Networks and Communications Control and Systems Engineering Electrical and Electronic Engineering Computer Science Applications Modeling and Simulation |
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