TY - GEN
T1 - Developing communication-aware service placement frameworks in the Cloud economy
AU - Chen, Chao
AU - He, Ligang
AU - Chen, Hao
AU - Sun, Jianhua
AU - Gao, Bo
AU - Jarvis, Stephen A.
PY - 2013
Y1 - 2013
N2 - In a Cloud system, a number of services are often deployed with each service being hosted by a collection of Virtual Machines (VM). The services may interact with each other and the interaction patterns may be dynamic, varying according to the system information at runtime. These impose a challenge in determining the amount of resources required to deliver a desired level of QoS for each service. In this paper, we present a method to determine the sufficient number of VMs for the interacting Cloud services. The proposed method borrows the ideas from the Leontief Open Production Model in economy. Further, this paper develops a communication-aware strategy to place the VMs to Physical Machines (PM), aiming to minimize the communication costs incurred by the service interactions. The developed communication-aware placement strategy is formalized in a way that it does not need to the specific communication pattern between individual VMs. A genetic algorithm is developed to find a VM-to-PM placement with low communication costs. Simulation experiments have been conducted to evaluate the performance of the developed communication-aware placement framework. The results show that compared with the placement framework aiming to use the minimal number of PMs to host VMs, the proposed communication-aware framework is able to reduce the communication cost significantly with only a very little increase in the PM usage.
AB - In a Cloud system, a number of services are often deployed with each service being hosted by a collection of Virtual Machines (VM). The services may interact with each other and the interaction patterns may be dynamic, varying according to the system information at runtime. These impose a challenge in determining the amount of resources required to deliver a desired level of QoS for each service. In this paper, we present a method to determine the sufficient number of VMs for the interacting Cloud services. The proposed method borrows the ideas from the Leontief Open Production Model in economy. Further, this paper develops a communication-aware strategy to place the VMs to Physical Machines (PM), aiming to minimize the communication costs incurred by the service interactions. The developed communication-aware placement strategy is formalized in a way that it does not need to the specific communication pattern between individual VMs. A genetic algorithm is developed to find a VM-to-PM placement with low communication costs. Simulation experiments have been conducted to evaluate the performance of the developed communication-aware placement framework. The results show that compared with the placement framework aiming to use the minimal number of PMs to host VMs, the proposed communication-aware framework is able to reduce the communication cost significantly with only a very little increase in the PM usage.
UR - http://www.scopus.com/inward/record.url?scp=84893590595&partnerID=8YFLogxK
U2 - 10.1109/CLUSTER.2013.6702668
DO - 10.1109/CLUSTER.2013.6702668
M3 - Conference contribution
AN - SCOPUS:84893590595
SN - 9781479908981
T3 - Proceedings - IEEE International Conference on Cluster Computing, ICCC
BT - 2013 IEEE International Conference on Cluster Computing, CLUSTER 2013
T2 - 15th IEEE International Conference on Cluster Computing, CLUSTER 2013
Y2 - 23 September 2013 through 27 September 2013
ER -