Target Tracking and Step Scaling, and Multiple Zones and Horizontal-Pod Autoscaling (Kubernetes) respectively. These tools can be divided into two algorithmic categories, the first containing Multiple Zones and Step scaling, and the second containing the Kubernetes Horizontal-Pod Autoscaling and Target ...
However, for the purpose of our analysis, we have shown that low-power architectures can represent an equivalent or even better choice in comparison to traditional enterprise system and, in general, this is an aspect that can be taken in consideration in brokering cloud services [60,61]. This...
Pattern-based configuration testing We can use the pattern-QoS matrix to test a standard or any known resource configuration in SWP format (i.e., three concrete values rather than value ranges for the infrastructure aspects) for instance in the situation outlined above for a servicesifor which ...
SPACE 4Cloudshas a twofold function. First, it keeps track of candidate solutions and manages their creation, modification, evaluation, comparison and feasibility check. Second, SPACE 4Clouds deals with the design-space exploration and optimisation process by means of a metaheuristic local-search-based...
we show that the pattern-based approach improves the efficiency of the solution in comparison with traditional prediction approaches, e.g., based on collaborative filtering. This enhances existing solutions by automating current manual rule-based reactive scalability mechanisms and also advances prediction...
Motivated by this, we propose our energy-effective relay selection and resource allocation algorithm in NOMA UAV-assisted heterogeneous networks. Table 1. Comparison of related works in the existing literature. 3. System Model In this paper, we consider a single UAV-assisted heterogeneous network, ...
Quality of Service (QoS) refers to techniques that function on a network to dependably execute high-priority applications and traffic reliably run high-priority applications and traffic even when the network’s capacity is limited. It is expected that da
Data Acquisition and Signal ProcessingAdvancing Structural Health Monitoring in AI EraAgriculture and Forestry: Sensors, Technologies and ProceduresAmbient Assisted Living (AAL): Sensors, Architectures and ApplicationsApplication of Dynamical Analysis and Sensing Technologies in Nondestructive Testing and Structural...
The comparison between the motion prediction error and the threshold values aids with identifying whether the macroblocks should be classified as zero prediction error, low prediction error, medium prediction error or high prediction error. Once the motion vectors are classified then the temporal feature...
Fill the gap in existing studies by studying the benefits of employing AI tools to solve the WSN challenges such as security, fault tolerance, and QoS. We provide a detailed comparison of the AI strategies utilized to solve each problem in contrast to existing related work that covered only a...