Chuprikov, Pavel and Nikolenko, Sergey and Kogan, Kirill (2016) On Demand Elastic Capacity Planning for Service Auto-Scaling. In: The 35th IEEE International Conference on Computer Communications (IEEE INFOCOM 2016), 10-15 April 2016, San Francisco, USA.
PDF (On Demand Elastic Capacity Planning for Service Auto-Scaling)
Cloud computing allows on demand elastic service scaling. The capability of a service to predict resource requirements for the next operational period defines how well it will exploit the elasticity of cloud computing in order to reduce operational costs. In this work, we consider a capacity planning process for service scale-out as an online pricing model. In particular, we study the impact of buffering service requests on revenues in various settings with allocation and maintenance costs. In addition, we analyze the incurred latency implied by buffering service requests. We believe that our insights will allow to significantly simplify predictions and mitigate the unknowns of future demands on resources.
|Item Type:||Conference or Workshop Papers (Paper)|
|Uncontrolled Keywords:||Capacity planning; resource allocation; online algorithms.|
|Depositing User:||Kirill Kogan|
|Date Deposited:||12 Feb 2016 16:28|
|Last Modified:||15 Dec 2016 15:43|
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