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Application Placement and Demand Distribution in a Global Elastic Cloud: A Unified Approach
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You are not authorized to post comments.Hangwei Qian, VMware, Inc.; Michael Rabinovich, Case Western Reserve University
Efficient hosting of applications in a globally distributed multi-tenant cloud computing platform requires policies to decide where to place application replicas and how to distribute client requests among these replicas in response to the dynamic demand. We present a unified method that computes both policies together based on a sequence of min-cost flow models. Further, since optimization problems are generally very large-scale in this environment, we propose a novel demand clustering approach to make them computationally practical. An experimental evaluation, both through large-scale simulation and a prototype in a testbed deployment, shows significant promise of our approach for the targeted environment.
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author = {Hangwei Qian and Michael Rabinovich},
title = {Application Placement and Demand Distribution in a Global Elastic Cloud: A Unified Approach},
booktitle = {10th International Conference on Autonomic Computing (ICAC 13)},
year = {2013},
isbn = {978-1-931971-02-7},
address = {San Jose, CA},
pages = {1--12},
url = {https://www.usenix.org/conference/icac13/technical-sessions/presentation/qian},
publisher = {USENIX Association},
month = jun
}
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