Abstract | ||
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The complexity of embedded systems presents key challenges in observing and analyzing complex hardware and software behavior. System-level observation methods provide in-situ monitoring and analysis of complex system behavior across hardware and software boundaries. Previous system-level observation methods utilized efficient pipelined hardware architectures that provide high throughput for reporting observed events but require significant area resources. Alternatively, an area-efficient round-robin priority-based event stream ordering technique significantly reduces area resources but requires tradeoffs in event stream throughput. We present a hardware-based event stream ordering technique capable of providing high throughput and flexibility in area requirements. This hardware-based event stream ordering technique reduces area requirements by 73.6% with a maximum reduction in event stream throughput of 4.6%. |
Year | DOI | Venue |
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2014 | 10.1109/LES.2014.2359154 | Embedded Systems Letters |
Keywords | Field | DocType |
event stream throughput,hardware-based event stream ordering,system observability,system-level observation methods,area-efficient round-robin priority-based event stream ordering,embedded system complexity,complex system behavior,pipelined hardware architectures,maximum reduction,in-situ system monitoring,computational complexity,hardware sorting,runtime testing,hardware-software codesign,embedded systems,system-level observation framework,software behavior,throughput,system on chip,sorting,observability | Observability,System on a chip,Event stream,Computer science,Parallel computing,Real-time computing,Sorting,Software,Throughput,Computer hardware,System level,Embedded system | Journal |
Volume | Issue | ISSN |
6 | 4 | 1943-0663 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jong Chul Lee | 1 | 0 | 0.34 |
Jovan Vance | 2 | 0 | 0.34 |
Roman Lysecky | 3 | 605 | 60.43 |