Developing communication-aware service placement frameworks in the Cloud economy

Chao Chen, Ligang He, Hao Chen, Jianhua Sun, Bo Gao, Stephen A. Jarvis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Cluster Computing, CLUSTER 2013
DOIs
Publication statusPublished - 2013
Event15th IEEE International Conference on Cluster Computing, CLUSTER 2013 - Indianapolis, IN, United States
Duration: 23 Sep 201327 Sep 2013

Publication series

NameProceedings - IEEE International Conference on Cluster Computing, ICCC
ISSN (Print)1552-5244

Conference

Conference15th IEEE International Conference on Cluster Computing, CLUSTER 2013
Country/TerritoryUnited States
CityIndianapolis, IN
Period23/09/1327/09/13

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Signal Processing

Fingerprint

Dive into the research topics of 'Developing communication-aware service placement frameworks in the Cloud economy'. Together they form a unique fingerprint.

Cite this