Full metadata record
DC FieldValueLanguage
dc.contributor.authorWang, I-Chihen_US
dc.contributor.authorWen, Charles H-Pen_US
dc.contributor.authorChao, H. Jonathanen_US
dc.date.accessioned2019-04-02T06:04:40Z-
dc.date.available2019-04-02T06:04:40Z-
dc.date.issued2018-01-01en_US
dc.identifier.urihttp://hdl.handle.net/11536/151126-
dc.description.abstractThe fifth generation (5G) mobile communication network aims at providing high-rate, low-latency services. When a user subscribes a chain of service functions (a.k.a. service chain) from the telecom providers, a Service Level Agreement (SLA) is specified according to his requirement. Deploying service chains optimally has always been a big issue. Several previous works have presented various strategies of service-chain deployment for optimizing either latency or computational resources; however, over-optimization of latency or computational resource is not necessarily equivalent to improvement on quality of experience. Therefore, in this paper, we formally formulate this problem of optimizing quality of experience with the queuing theory and mixed-integer linear programming. In addition, we propose an efficient algorithm named "QoE-driven Service-Chain Deployment with Latency Prediction" for deploying a service chain for a user in practice. According to the experiments, our algorithm reduces >99% rejections and >99% waiting time, notably elevating the quality of experience for users.en_US
dc.language.isoen_USen_US
dc.titleImproving Quality of Experience of Service-Chain Deployment for Multiple Usersen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2018 IEEE/ACM 26TH INTERNATIONAL SYMPOSIUM ON QUALITY OF SERVICE (IWQOS)en_US
dc.contributor.department電機工程學系zh_TW
dc.contributor.departmentDepartment of Electrical and Computer Engineeringen_US
dc.identifier.wosnumberWOS:000461354300045en_US
dc.citation.woscount0en_US
Appears in Collections:Conferences Paper