Results 31 to 40 of about 912,674 (282)
Manual Scaling of Ionograms Measured at Jeju (33.4°N, 126.3°E)
The ionosphere has been monitored by ionosondes for over five decades since the 1960s in Korea. An ionosonde typically produces an ionogram that displays radio echoes in the frequency-range plane.
Yong Ha Kim, Ki-nam Kim
doaj +1 more source
B5G: Predictive Container Auto-Scaling for Cellular Evolved Packet Core
In order to maintain a satisfactory performance in the midst of rapid growth of mobile traffic, the mobile network infrastructure needs to be scaled. Thus there has been significant interest in scalability of mobile core networks and a variety of scaling
Yahuza Bello +6 more
doaj +1 more source
Auto-Scaling Web Applications in Clouds
Web application providers have been migrating their applications to cloud data centers, attracted by the emerging cloud computing paradigm. One of the appealing features of the cloud is elasticity. It allows cloud users to acquire or release computing resources on demand, which enables web application providers to automatically scale the resources ...
Chenhao Qu +2 more
openaire +3 more sources
Auto-scaling Using TOSCA Infrastructure as Code [PDF]
Autoscaling cloud infrastructures still remains a challenging endeavour during orchestration, given the many possible risks, options, and connected costs. In this paper we discuss the options for defining and enacting autoscaling using TOSCA standard templates and its own policy definition specifications. The goal is to define infrastructure blueprints
Matija Cankar +2 more
openaire +1 more source
Proactive Auto-Scaling for Service Function Chains in Cloud Computing Based on Deep Learning
Auto-scaler system enables high Quality of Service (QoS) with low cost to survive in a competitive market. Indeed, the auto-scaling of Virtual Network Functionality (VNFs) can adaptively allocate the Cloud resources for various VNFs based on workload ...
Mohammad Bany Taha +4 more
doaj +1 more source
Edge computing has gained widespread adoption for time-sensitive applications by offloading a portion of IoT system workloads from the cloud to edge nodes.
Ahmed Bali +3 more
doaj +1 more source
A Trend Detection-Based Auto-Scaling Method for Containers in High-Concurrency Scenarios
Cloud computing technology is widely embraced due to its ability to meet diverse computing resource demands from users. As the user base grows, the challenge for cloud service providers to dynamically allocate resources to applications according to real ...
Haipeng Liu +3 more
doaj +1 more source
NONSTATIONARY PROCESSES PERIOD ESTIMATION IN CLOUD SYSTEMS [PDF]
Subject of Research. The existing approaches to the automatic scaling of non-stationary operating cloud systems are analyzed. The drawbacks of the existing approaches to workload prediction are revealed due to the insufficient performance of the ...
S. A. Zhmylev
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Auto-scaling containerized cloud applications: a workload-driven approach
Today, cloud computing presents new business opportunities as it offers various technological advantages including elastic computing and efficient pricing strategies. Although, cloud users have access to large amount of resources, it is yet a challenging
Sotiriadis, Stelios, Chouliaras, Spyros
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CT10 regulator of kinase (CRK) and CRK‐Like (CRKL) are signaling adaptors driving cell adhesion, motility, differentiation, and proliferation. SH2‐domain containing (SH) proteins are enriched in YXXP motifs which when phosphorylated create preferred binding sites for CRK family SH2 domains.
Phoebe M. Cousens +8 more
wiley +1 more source

