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• W2186008375 abstract "Today's pu blic cloud computing offerings provide theoretical infinite resource capacity and enable generous elasticity on instances for their customers. Nevertheless, booting new instances means administrative and organizational efforts and supplementary costs. In order to avoid unnecessary additional costs, scaling mandatory resources up and down has to be well-scheduled. Until now, vendors offer only technologies to react to load variations though manual configuration and automatically proactive actions are not enabled. Consequently, possibilities for allocation automatism that considers the differences in dynamics in cloud environments should be further explored and solutions should be developed. Thereby, the focus is not only to balance workloads across available resources, but also to provide additional resources as much as possible (for stability aspects) and as little as possible (for cost savings). Within this paper, we present a solution to effectively manage service load variations with regard to emerging costs, provisioning time and S LAs (service level agreements). The mechanism is based on a light-weight protocol that implements appropriate adapters and management components." @default.
• W2186008375 created "2016-06-24" @default.
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• W2186008375 date "2012-01-01" @default.
• W2186008375 modified "2023-10-18" @default.
• W2186008375 title "Improved Throughput and Response Times by a Light-Weight Load Management Protocol" @default.
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