Title | ||
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A Shared Cache-Aware Hybrid Real-Time Scheduling on Multicore Platform with Hierarchical Cache |
Abstract | ||
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Hybrid approach for scheduling on multicore processors that can effectively integrate the advantage of global scheduling and partitioning scheduling, becoming one of the hottest issues in real-time scheduling. Meanwhile, different from single-core, multicore architecture in the form of a variety of hierarchical shared caches, efficient cache usage on multicore platforms can greatly improve the scheduling efficiency. This paper proposes an improved hybrid approach for scheduling real-time tasks on multicore platforms, a multicore platform is partitioned into clusters that share a L2 cache, tasks which access a common region of memory are statically assigned to a same cluster, and those task are encouraged to co-scheduling in those cluster using improved global EDF algorithm. Simulation shows that this algorithm can improve the cache performance. |
Year | DOI | Venue |
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2011 | 10.1109/PAAP.2011.68 | PAAP |
Keywords | Field | DocType |
hierarchical cache,scheduling,shared cache-aware hybrid real-time,cache storage,multicore architecture,shared cache-aware hybrid real-time scheduling,l2 cache,real-time scheduling,multicore processor,global edf algorithm,multicore processor scheduling,multiprocessing systems,cache performance,multicore platform,partitioning scheduling,global scheduling,scheduling efficiency,efficient cache usage,real time systems,scheduling algorithm,clustering algorithms,multicore processors,resource management,real time,multicore processing,memory management,resource manager | Fixed-priority pre-emptive scheduling,Computer architecture,Fair-share scheduling,Shared memory,CPU cache,Cache,Computer science,Two-level scheduling,Rate-monotonic scheduling,Dynamic priority scheduling,Distributed computing | Conference |
ISBN | Citations | PageRank |
978-1-4577-1808-3 | 1 | 0.36 |
References | Authors | |
12 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yan Wang | 1 | 56 | 37.01 |
Lida Huang | 2 | 1 | 1.03 |
Renfa Li | 3 | 647 | 97.10 |
Rui Li | 4 | 19 | 16.31 |