Automated QoS-oriented cloud resource optimization using containers
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- 作者：Yu Sun ; Jules White ; Bo Li ; Michael Walker…
- 关键词：Automated software deployment ; QoS performance ; Resource allocation and optimization ; Bin packing
- 刊名：Automated Software Engineering
- 出版年：2017
- 出版时间：March 2017
- 年：2017
- 卷：24
- 期：1
- 页码：101-137
- 全文大小：
- 刊物类别：Computer Science
- 刊物主题：Artificial Intelligence (incl. Robotics); Software Engineering/Programming and Operating Systems;
- 出版者：Springer US
- ISSN：1573-7535
- 卷排序：24
文摘
Optimizing the deployment of software in a cloud environment is one approach for maximizing system Quality-of-Service (QoS) and minimizing total cost. A traditional challenge to this optimization is the large amount of benchmarking required to optimize even simplistic cloud systems. This paper introduces \(\hbox {C}^2\)RAM, an new approach to enable rapid, optimized deployment of software onto a cloud environment by substantially reducing the number of benchmarks required. \(\hbox {C}^2\)RAM continues to perform some benchmarking, and therefore its predictions of application QoS metrics, such as throughput and latency, are very accurate. Our results show a maximum difference of 1.06 % between \(\hbox {C}^2\)RAM predicted QoS and empirically measured QoS. Moreover, \(\hbox {C}^2\)RAM can be provided with QoS requirements for each software in the system, and will ensure that each requirement is met before presenting a deployment plan.