Title
Hardware-Based Event Stream Ordering for System-Level Observation Framework
Abstract
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
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 Lee100.34
Jovan Vance200.34
Roman Lysecky360560.43