Results 21 to 30 of about 863,741 (284)
Towards a Deadline-Based Simulation Experimentation Framework Using Micro-Services Auto-Scaling Approach [PDF]
, 2019 There is growing number of research efforts in developing auto-scaling algorithms and tools for cloud resources. Traditional performance metrics such as CPU, memory and bandwidth usage for scaling up or down resources are not sufficient for all ...
Gabor Terstyanszky +26 more
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IEEE Access, 2020 The wide adoption of microservices architectures has introduced an unprecedented granularisation of computing that requires the coordinated execution of multiple containers with diverse lifetimes and with potentially different auto-scaling requirements ...
Jose Herrera, German Molto
doaj +1 more source
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
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Enhanced Auto-scaling by using Dynamic scaling policy with Deep learning :LSTM [PDF]
, 2022 Cloud computing is becoming the main pillar of strength for most of the new technologies because of its ability to scale and change. Auto-scaling systems are being used to make this kind of flexibility on demand possible.
Ravikumaraiah, Mohith Srivathsa
core +3 more sources
Prediction-based auto-scaling of scientific workflows [PDF]
Proceedings of the 9th International Workshop on Middleware for Grids, Clouds and e-Science, 2011 In this paper we propose a novel method for auto-scaling data-centric workflow tasks. Scaling is achieved through a prediction mechanism where the input data load on each task within a workflow is used to compute the estimated task execution time. Through load prediction, the framework can take informed decisions on scaling multiple workflow tasks ...
Reginald Cushing +3 more
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Cloud auto-scaling with deadline and budget constraints [PDF]
2010 11th IEEE/ACM International Conference on Grid Computing, 2010 Clouds have become an attractive computing platform which offers on-demand computing power and storage capacity. Its dynamic scalability enables users to quickly scale up and scale down underlying infrastructure in response to business volume, performance desire and other dynamic behaviors.
Ming Mao, Jie Li, Marty Humphrey
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IEEE Access, 2020 Use of cloud resources has increased with the increasing trend of organizations and governments towards cloud adaptation. This increase in cloud resource usage, leads to enormous amounts of energy consumption by cloud data center servers.
Qazi Zia Ullah +2 more
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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
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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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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
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