TY - JOUR
T1 - Automated QoS-oriented cloud resource optimization using containers
AU - Sun, Yu
AU - White, Jules
AU - Li, Bo
AU - Walker, Michael
AU - Turner, Hamilton
N1 - Publisher Copyright:
© 2016, Springer Science+Business Media New York.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2017/3/1
Y1 - 2017/3/1
N2 - 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 C 2RAM, an new approach to enable rapid, optimized deployment of software onto a cloud environment by substantially reducing the number of benchmarks required. C 2RAM 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 C 2RAM predicted QoS and empirically measured QoS. Moreover, C 2RAM 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.
AB - 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 C 2RAM, an new approach to enable rapid, optimized deployment of software onto a cloud environment by substantially reducing the number of benchmarks required. C 2RAM 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 C 2RAM predicted QoS and empirically measured QoS. Moreover, C 2RAM 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.
KW - Automated software deployment
KW - Bin packing
KW - QoS performance
KW - Resource allocation and optimization
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U2 - 10.1007/s10515-016-0191-0
DO - 10.1007/s10515-016-0191-0
M3 - Article
AN - SCOPUS:84975687561
SN - 0928-8910
VL - 24
SP - 101
EP - 137
JO - Automated Software Engineering
JF - Automated Software Engineering
IS - 1
ER -