scholarly journals Parallel Expanded Event Simulation of Tightly Coupled Systems

2016 ◽  
Vol 26 (2) ◽  
pp. 1-26 ◽  
Author(s):  
Georg Kunz ◽  
Mirko Stoffers ◽  
Olaf Landsiedel ◽  
Klaus Wehrle ◽  
James Gross
Keyword(s):  
Coupled Systems ◽  
Event Simulation ◽  
Tightly Coupled ◽  
Tightly Coupled Systems

Change in Tightly Coupled Systems: The Role and Actions of Middle Managers

2020 ◽  
pp. 183-209
Author(s):  
Rita Berggren ◽  
Johanna E. Pregmark ◽  
Tobias Fredberg ◽  
Björn Frössevi
Keyword(s):  
Middle Managers ◽  
Coupled Systems ◽  
Tightly Coupled ◽  
Tightly Coupled Systems

Energy-Efficient Error Control for Tightly Coupled Systems Using Silicon Photonic Interconnects

2011 ◽  
Vol 3 (8) ◽  
pp. A21 ◽  
Author(s):  
Xuezhe Zheng ◽  
Pranay Koka ◽  
Michael O. McCracken ◽  
Herb Schwetman ◽  
James G. Mitchell ◽  
...  
Keyword(s):  
Energy Efficient ◽  
Error Control ◽  
Coupled Systems ◽  
Silicon Photonic ◽  
Tightly Coupled ◽  
Photonic Interconnects ◽  
Tightly Coupled Systems

Ada for Tightly Coupled Systems

1990 ◽  
pp. 177-199
Author(s):  
Lawrence Collingbourne ◽  
Andrew Cholerton ◽  
Tim Bolderston
Keyword(s):  
Coupled Systems ◽  
Tightly Coupled ◽  
Tightly Coupled Systems

scholarly journals A Survey on Edge Performance Benchmarking

2021 ◽  
Vol 54 (3) ◽  
pp. 1-33
Author(s):  
Blesson Varghese ◽  
Nan Wang ◽  
David Bermbach ◽  
Cheol-Ho Hong ◽  
Eyal De Lara ◽  
...  
Keyword(s):  
Large Scale ◽  
Future Internet ◽  
Coupled Systems ◽  
Operational Conditions ◽  
Loosely Coupled ◽  
Performance Benchmarking ◽  
The Past ◽  
Geographically Dispersed ◽  
Tightly Coupled ◽  
History Of

Edge computing is the next Internet frontier that will leverage computing resources located near users, sensors, and data stores to provide more responsive services. Therefore, it is envisioned that a large-scale, geographically dispersed, and resource-rich distributed system will emerge and play a key role in the future Internet. However, given the loosely coupled nature of such complex systems, their operational conditions are expected to change significantly over time. In this context, the performance characteristics of such systems will need to be captured rapidly, which is referred to as performance benchmarking, for application deployment, resource orchestration, and adaptive decision-making. Edge performance benchmarking is a nascent research avenue that has started gaining momentum over the past five years. This article first reviews articles published over the past three decades to trace the history of performance benchmarking from tightly coupled to loosely coupled systems. It then systematically classifies previous research to identify the system under test, techniques analyzed, and benchmark runtime in edge performance benchmarking.

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