A Cloud Workflow Model Based on Resources Selection
Sponsor
The authors wish to thank Natural Science Foundation of China under Grant No.61662054, 61622082 and 61462066, Natural Science Foundation of Inner Mongolia under Grand No. 2015MS0608, Research Program of science and technology at Universities of Inner Mongolia Autonomous Region Grant NO. NJZY008, Inner Mongolia Science and Technology Innovation Team of Cloud Computing and Software Engineering, Inner Mongolia Application Technology Research and Development Funding Project “Mutual Creation Service Platform Research and Development Based on Service Optimizing and Operation Integrating” and CERNET Network Next Generation Internet Technology Innovation Project under Grand No. NGII20160511.
Published In
2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)
Document Type
Citation
Publication Date
12-2018
Abstract
With the development of cloud computing technology, all different kinds of resources and services are deployed in the cloud environment. The problem of how to find some appropriate resources or services in a resource pool, which can meet a consumer's QoS requirements, has got more and more attention. In order to solve this problem, a QoS parameters mapping model and a cloud resource capacity model are presented in this paper. Based on this, a cloud resource selection method based on multi-objective decision is integrated into a cloud workflow on Hadoop, which can simplify and accelerate the process of resource selection. In this process, a consumer's intuitive QoS requirements are mapped into a set of optimal cloud resources.
Locate the Document
DOI
10.1109/SmartWorld.2018.00109
Persistent Identifier
https://archives.pdx.edu/ds/psu/28122
Citation Details
Zhou, J., Li, X., Wang, Y., & Song, X. (2018, October). A Cloud Workflow Model Based on Resources Selection. In 2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI) (pp. 490-495). IEEE.
Description
©2018 IEEE