Your English writing platform
Discover LudwigSuggestions(5)
Exact(4)
We present the application requirement studies, the underlying network infrastructure and the initial network monitoring architecture that is under development in the context of the project.
In particular, we propose C2EM, a cloud-assisted complex event monitoring architecture that involves scalar sensors, camera sensors, cloudlets, and clouds to leverage computation offloading reliability, service response time, coverage efficiency, and energy efficiency.
In this paper, we propose a generic health monitoring architecture that encompasses the available prognostic methods and provides a common support for the maintenance decision on a complex system.
A monitoring architecture that accurately measures the link dynamics and promptly feeds this information to the system is vital to realize significant bandwidth aggregation performance gains.
Similar(54)
We also develop a framework that combines a distributed data stream monitoring architecture with a sliding window model.
For a more practical solution, we construct a framework that combines a distributed data stream monitoring architecture which is shown in Fig. 1 and as described earlier with a time-based sliding window model.
It is shown that overlapping of subsystems allows to improve the detectability properties of the monitoring architecture.
This architecture is shown in Figure 4. Figure 4 The two tier monitoring architecture.
The n-tier architecture is illustrated in Figure 5. Figure 5 The n-tier monitoring architecture.
The main contributions of this paper are the design, implementation and evaluation of a comprehensive monitoring and management architecture that helps a network administrator proactively identify, diagnose and resolve a range of issues that can occur in a dynamic mesh network.
To address these issues, this paper proposes a runtime, resource-aware architecture that combines resource monitoring with dynamic workflow orchestration to mediate resource contention within the orchestration environment.
More suggestions(3)
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com