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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ghanbari, H. Simmons, B. Litoiu, M. Iszlai, G. |
| Copyright Year | 2011 |
| Abstract | An elasticity policy governs how and when resources (e.g., application server instances at the PaaS layer) are added to and/or removed from a cloud environment. The elasticity policy can be implemented as a conventional control loop or as a set of heuristic rules. In the control-theoretic approach, complex constructs such as tracking filters, estimators, regulators, and controllers are utilized. In the heuristic, rule-based approach, various alerts(e.g., events) are defined on instance metrics (e.g., CPU utilization), which are then aggregated at a global scale in order to make provisioning decisions for a given application tier. This work provides an overview of our experiences designing and working with both approaches to construct an auto scaler for simple applications. We enumerate different criteria such as design complexity, ease of comprehension, and maintenance upon which we form an informal comparison between the different methods. We conclude with a brief discussion of how these approaches can be used in the governance of resources to better meet a high-level goal over time. |
| Starting Page | 716 |
| Ending Page | 723 |
| File Size | 267041 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781457708367 |
| ISSN | 21596190 |
| DOI | 10.1109/CLOUD.2011.101 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-07-04 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Measurement Control Theory Databases Cloud Computing Elasticity Policy Elasticity Streaming media Web servers Mathematical model Autonomic Computing Rules |
| Content Type | Text |
| Resource Type | Article |
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