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Auto-Scaling Web Applications in Clouds
ACM Computing Surveys, 2018 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
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Auto-scaling Using TOSCA Infrastructure as Code [PDF]
, 2020 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
AI-based Resource Allocation: Reinforcement Learning for Adaptive Auto-scaling in Serverless Environments [PDF]
IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, 2020 Serverless computing has emerged as a compelling new paradigm of cloud computing models in recent years. It promises the user services at large scale and low cost while eliminating the need for infrastructure management.
Lucia Schuler +2 more
semanticscholar +1 more source
B5G: Predictive Container Auto-Scaling for Cellular Evolved Packet Core
IEEE Access, 2021 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
Manual Scaling of Ionograms Measured at Jeju (33.4°N, 126.3°E)
Journal of Astronomy and Space Sciences, 2018 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
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Auto Clicker CS Amebaownd (16631775)
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A Theory of Auto-Scaling for Resource Reservation in Cloud Services
ACM SIGMETRICS Performance Evaluation Review, 2021 We consider a distributed server system consisting of a large number of servers, each with limited capacity on multiple resources (CPU, memory, disk, etc.). Jobs with different rewards arrive over time and require certain amounts of resources for the duration of their service. When a job arrives, the system must decide whether to admit it or reject it,
Konstantinos Psychas, Javad Ghaderi
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A Cloud-Based Container Microservices: A Review on Load-Balancing and Auto-Scaling Issues
International Journal of Data Science, 2022 Microservices are being used by businesses to split monolithic software into a set of small services whose instances run independently in containers. Load balancing and auto-scaling are important cloud features for cloud-based container microservices ...
Shamsuddeen Rabiu +2 more
semanticscholar +1 more source
Journal of King Saud University: Computer and Information SciencesEdge 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
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NONSTATIONARY PROCESSES PERIOD ESTIMATION IN CLOUD SYSTEMS [PDF]
Научно-технический вестник информационных технологий, механики и оптики, 2019 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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