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      KCI등재 SCIE SCOPUS

      A Dynamic Adjustment Method of Service Function Chain Resource Configuration = A Dynamic Adjustment Method of Service Function Chain Resource Configuration

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      https://www.riss.kr/link?id=A107844901

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      다국어 초록 (Multilingual Abstract)

      In the network function virtualization environment, dynamic changes in network traffic will lead to the dynamic changes of service function chain resource demand, which entails timely dynamic adjustment of service function chain resource configuration...

      In the network function virtualization environment, dynamic changes in network traffic will lead to the dynamic changes of service function chain resource demand, which entails timely dynamic adjustment of service function chain resource configuration. At present, most researches solve this problem through virtual network function migration and link rerouting, and there exist some problems such as long service interruption time, excessive network operation cost and high penalty. This paper proposes a dynamic adjustment method of service function chain resource configuration for the dynamic changes of network traffic. First, a dynamic adjustment request of service function chain is generated according to the prediction of network traffic. Second, a dynamic adjustment strategy of service function chain resource configuration is determined according to substrate network resources. Finally, the resource configuration of a service function chain is pre-adjusted according to the dynamic adjustment strategy. Virtual network functions combination and virtual machine reusing are fully considered in this process. The experimental results show that this method can reduce the influence of service function chain resource configuration dynamic adjustment on quality of service, reduce network operation cost and improve the revenue of service providers.

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      참고문헌 (Reference)

      1 "Wind river"

      2 L. Tang, "Virtual network function migration based on dynamic resource requirements prediction" 7 (7): 112346-112362, 2019

      3 S. Mehraghdam, "Specifying and placing chains of virtual network functions" 7-13, 2014

      4 Z. Luo, "Scaling geo-distributed network function chains : a prediction and learning framework" 37 (37): 1838-1850, 2019

      5 J. Zu, "Resource aware chaining and adaptive capacity scaling for service function chains in distributed cloud network" 7 (7): 157707-157723, 2019

      6 J. Wang, "PRSFC-IoT : a performance and resource aware orchestration system of service function chaining for internet of things" 5 (5): 1400-1410, 2018

      7 "Open vswitch"

      8 K. Noghani, "On the cost-optimality trade-off for service function chain reconfiguration" 2019

      9 M. Pozza, "On reconfiguring 5G network slices" 38 (38): 1542-1554, 2020

      10 J. Liu, "Load-aware and congestion-free state management in network function virtualization" 2017

      1 "Wind river"

      2 L. Tang, "Virtual network function migration based on dynamic resource requirements prediction" 7 (7): 112346-112362, 2019

      3 S. Mehraghdam, "Specifying and placing chains of virtual network functions" 7-13, 2014

      4 Z. Luo, "Scaling geo-distributed network function chains : a prediction and learning framework" 37 (37): 1838-1850, 2019

      5 J. Zu, "Resource aware chaining and adaptive capacity scaling for service function chains in distributed cloud network" 7 (7): 157707-157723, 2019

      6 J. Wang, "PRSFC-IoT : a performance and resource aware orchestration system of service function chaining for internet of things" 5 (5): 1400-1410, 2018

      7 "Open vswitch"

      8 K. Noghani, "On the cost-optimality trade-off for service function chain reconfiguration" 2019

      9 M. Pozza, "On reconfiguring 5G network slices" 38 (38): 1542-1554, 2020

      10 J. Liu, "Load-aware and congestion-free state management in network function virtualization" 2017

      11 B. Andrus, "Live migration downtime analysis of a VNF guest for a proposed optical FMC network architecture" 1-5, 2016

      12 "Kvm cpu hotplug"

      13 M. Tajiki, "Joint energy efficient and QoSaware path allocation and VNF placement for service function chaining" 16 (16): 374-388, 2019

      14 M. Wang, "Joint availability guarantee and resource optimization of virtual network function placement in data center networks" 17 (17): 821-834, 2020

      15 H. Yu, "Fine-grained cloud resource provisioning for virtual network function" 17 (17): 1363-1376, 2020

      16 M. Otokura, "Evolvable virtual network function placement method : mechanism and performance evaluation" 16 (16): 27-40, 2019

      17 L. Popa, "Elasticswitch: practical work-conserving bandwidth guarantees for cloud computing" 351-362, 2013

      18 M. Ghaznavi, "Elastic virtual network function placement" 255-260, 2015

      19 H. Yu, "Elastic network service chain with fine-grained vertical scaling" 2018

      20 H. Yu, "ENSC: multi-resource hybrid scaling for elastic network service chain in clouds" 34-41, 2018

      21 S. Palkar, "E2: a framework for nfv applications" 121-136, 2015

      22 H. Tang, "Dynamic network function instance scaling based on traffic forecasting and VNF placement in operator data centers" 30 (30): 530-543, 2018

      23 K. Qu, "Dynamic flow migration for embedded services in SDN/NFV-enabled 5G core networks" 68 (68): 2394-2408, 2020

      24 B. Yi, "Design and implementation of network-aware VNF migration mechanism" 8 (8): 44346-44358, 2020

      25 Y. Su, "Cognitive virtual network reconfiguration method based on traffic prediction and link importance" 7 (7): 138915-138926, 2019

      26 T. Han, "A traffic load balance framework for software defined radio access networks powered by hybrid energy sources" 24 (24): 1038-1051, 2016

      27 F. Zhang, "A survey on virtual machine migration : challenges, techniques, and open issues" 20 (20): 1206-1243, 2018

      28 X. Han, "A service function chain deployment method based on network flow theory for load balance in operator networks" 8 (8): 93187-93199, 2020

      29 M. Mao, "A performance study on the vm startup time in the cloud" 2012

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      학술지등록 한글명 : KSII Transactions on Internet and Information Systems
      외국어명 : KSII Transactions on Internet and Information Systems
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2013-10-01 평가 등재학술지 선정 (기타) KCI등재
      2011-01-01 평가 등재후보학술지 유지 (기타) KCI등재후보
      2009-01-01 평가 SCOPUS 등재 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.45 0.21 0.37
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.32 0.29 0.244 0.03
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