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Also, we will study the addition of cross-layer mechanisms for DEMON at the end nodes, making use of transport layer information in order to detect performance degradation.
The frequency of Hello messages is a configurable parameter, which affects the time required to detect performance degradations (see Section 4.2).
In order to detect performance degradation caused by a range of reasons wider than mobility alone, we choose link loss rate as the criterion for determining link quality.
In addition, in DEMON, since Hello messages are needed to compute the pETX metric of the links, their frequency determines the time required to detect performance degradation.
Indeed, it can be more straightforward, when using the right tools, to detect performance anomalies while working with a simple layer of virtualization.
To gain in generality and not rely too much on hypervisors and application code, some work was initiated with the intention to detect performance anomalies across virtual machines by using kernel tracing.
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We reported in a previous work a stress testing methodology to detect performance-related Real-Time (RT) faults in DRTS's based on the design UML model of a System Under Test (SUT).
Whenever Cedexis detects performance degradations, its Openmix service can automatically direct traffic to more performant services.
Some methods for detecting performance degradations already exist for single-layer architectures.
Figure 8 Detecting performance comparisons among GLCM, RLRN, DCTMarkov, and 42DMoments in different channels.
However, using this technology also brings its share of challenges in terms of debugging and detecting performance failures.
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