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LOAD BALANCING IN AUTO SCALING-ENABLED CLOUD ENVIRONMENTS

Authors: Nguyen Hong Son 1 , Nguyen Khac Chien 2;

LOAD BALANCING IN AUTO SCALING-ENABLED CLOUD ENVIRONMENTS

Abstract

Cloud computing is growing in popularity and it has been continuously updated with more improvements. Auto scaling is one of such improvements that help to maintain the availability of customer’s subscribed cloud system. The appearance of an auto scaling mechanism in the cloud system with many existing system mechanisms is an issue that needs to be considered. Because, normally, there is no free drawbacks whenever a new part is added to a certain stable system. In this paper, we consider how existing load balancing and auto scaling impact on each other. For the purpose, we have modeled a cloud system with an auto scaler and a load balancer and implementing simulations based on the constructed model. Also based on the results from the computer simulations we proposed about choosing load balancers for subscribed cloud system with auto scaling service.

Keywords

Cloud Computing, Load Balancing, Auto Scaling, Workload

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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