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• W2242441826 startingPage "75" @default.
• W2242441826 abstract "Cloud computing is becoming increasingly widespread and sophisticated. A key feature of cloud computing is elasticity, which allows the provisioning and de-provisioning of computing resources on demand, via auto-scaling. Auto-scaling techniques are diverse, and involve various components at the infrastructure, platform and software levels. Auto-scaling also overlaps with other quality attributes, thereby contributing to service level agreements, and often applies modeling and control techniques to make the auto-scaling process adaptive. A study of auto-scaling architectures, existing techniques and open issues provides a comprehensive understanding to identify future research solutions. In this paper, we present a survey that explores definitions of related concepts of auto-scaling and a taxonomy of auto-scaling techniques. Based on the survey results, we then outline open issues and future research directions for this important subject in cloud computing." @default.
• W2242441826 created "2016-06-24" @default.
• W2242441826 creator A5021293751 @default.
• W2242441826 creator A5058884064 @default.
• W2242441826 creator A5085895501 @default.
• W2242441826 date "2014-11-03" @default.
• W2242441826 modified "2023-09-24" @default.
• W2242441826 title "Analyzing auto-scaling issues in cloud environments" @default.
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