Performance study of integrated routing/signaling algorithms in GMPLS-based optical networks

Network reconfiguration is an important mechanism for network operators to optimize network performance and optical flow transfer. It concerns unicast and multicast connections. Multicast connections are required to meet the bandwidth requirements of multicast applications, such as Internet Protocol-based TeleVision (IPTV), distance learning, and telemedicine. In optical networks, a multicast connection is made possible by the creation of an optical tree-shaped path called a light-tree. The problem of light-tree pair reconfiguration is addressed in this study. Given an initial light-tree used to transfer an optical flow and a final light-tree that is computed by the network operator to optimize network performance, the goal is to migrate the optical flow from the initial light-tree to the final light-tree without flow interruption. Flow interruption is not desirable for network operators because it forces them to pay financial penalties to their customers. To solve this problem, existing methods use a branch approach that is inefficient if some network nodes do not have wavelength conversion capability. Therefore, we proposed in this study a sub-tree-based method. This approach selects and configures sub-tree pairs from the light-tree pair (initial light-tree, final light-tree) to be reconfigured. Then, we produce a sequence of configurations. The performance study confirms that our method is efficient in solving the problem of light-tree pair reconfiguration because our method does not cause flow interruption.

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Review for "Revisiting smart antenna array design with multiple interferers using basic adaptive beamforming algorithms: Comparative performance study with testbed results"

10.1002/eng2.12295/v1/review3 ◽

2020 ◽

Author(s):

A Ashraf A.M. Khalaf

Keyword(s):

Antenna Array ◽

Smart Antenna ◽

Adaptive Beamforming ◽

Performance Study ◽

Comparative Performance ◽

Array Design ◽

Smart Antenna Array

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Replication of the Superstition and Performance Study by

Social Psychology ◽

10.1027/1864-9335/a000190 ◽

2014 ◽

Vol 45 (3) ◽

pp. 239-245 ◽

Cited By ~ 18

Author(s):

Robert J. Calin-Jageman ◽

Tracy L. Caldwell

Keyword(s):

Task Difficulty ◽

Statistical Power ◽

Meta Analysis ◽

A Priori ◽

Significant Heterogeneity ◽

Performance Study ◽

Improve Performance ◽

Research Designs ◽

Series Of Experiments ◽

And Performance

A recent series of experiments suggests that fostering superstitions can substantially improve performance on a variety of motor and cognitive tasks ( Damisch, Stoberock, & Mussweiler, 2010 ). We conducted two high-powered and precise replications of one of these experiments, examining if telling participants they had a lucky golf ball could improve their performance on a 10-shot golf task relative to controls. We found that the effect of superstition on performance is elusive: Participants told they had a lucky ball performed almost identically to controls. Our failure to replicate the target study was not due to lack of impact, lack of statistical power, differences in task difficulty, nor differences in participant belief in luck. A meta-analysis indicates significant heterogeneity in the effect of superstition on performance. This could be due to an unknown moderator, but no effect was observed among the studies with the strongest research designs (e.g., high power, a priori sampling plan).

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