The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
본 논문에서는 배포 비용을 최소화하기 위해 흐름별 우선순위를 처리하는 네트워크 기능 가상화를 위한 서비스 배포 모델을 조사합니다. 서비스 제공업체는 각각 서비스 지연 요구 사항을 충족하는 하나 이상의 가상 네트워크 기능(VNF)으로 구성된 네트워크 서비스를 구현해야 합니다. 이전 작업에서는 호스트별 우선순위로 서비스 배포 모델을 연구했습니다. 동일한 VNF에 대해 동일한 서비스에 속하고 동일한 호스트에서 처리되는 흐름은 동일한 우선순위를 갖습니다. 우리는 모델을 최적화 문제로 공식화하고 이를 실무 시간에 해결하기 위해 FlexSize라는 휴리스틱 알고리즘을 개발했습니다. 본 논문에서는 동일한 서비스, VNF, 호스트의 흐름이 서로 다른 우선순위를 갖는 흐름별 우선순위를 다룹니다. 또한 흐름별 우선순위를 처리하기 위해 FlexSize를 확장합니다. 우리는 흐름별 우선순위와 호스트별 우선순위를 평가하고 수치 결과를 통해 흐름별 우선순위가 호스트별 우선순위에 비해 배포 비용을 절감한다는 것을 보여줍니다.
Keigo AKAHOSHI
Kyoto University
Eiji OKI
Kyoto University
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부
Keigo AKAHOSHI, Eiji OKI, "Service Deployment Model with Virtual Network Function Resizing Based on Per-Flow Priority" in IEICE TRANSACTIONS on Communications,
vol. E106-B, no. 9, pp. 786-797, September 2023, doi: 10.1587/transcom.2022EBP3145.
Abstract: This paper investigates a service deployment model for network function virtualization which handles per-flow priority to minimize the deployment cost. Service providers need to implement network services each of which consists of one or more virtual network functions (VNFs) with satisfying requirements of service delays. In our previous work, we studied the service deployment model with per-host priority; flows belonging to the same service, for the same VNF, and handled on the same host have the same priority. We formulated the model as an optimization problem, and developed a heuristic algorithm named FlexSize to solve it in practical time. In this paper, we address per-flow priority, in which flows of the same service, VNF, and host have different priorities. In addition, we expand FlexSize to handle per-flow priority. We evaluate per-flow and per-host priorities, and the numerical results show that per-flow priority reduces deployment cost compared with per-host priority.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2022EBP3145/_p
부
@ARTICLE{e106-b_9_786,
author={Keigo AKAHOSHI, Eiji OKI, },
journal={IEICE TRANSACTIONS on Communications},
title={Service Deployment Model with Virtual Network Function Resizing Based on Per-Flow Priority},
year={2023},
volume={E106-B},
number={9},
pages={786-797},
abstract={This paper investigates a service deployment model for network function virtualization which handles per-flow priority to minimize the deployment cost. Service providers need to implement network services each of which consists of one or more virtual network functions (VNFs) with satisfying requirements of service delays. In our previous work, we studied the service deployment model with per-host priority; flows belonging to the same service, for the same VNF, and handled on the same host have the same priority. We formulated the model as an optimization problem, and developed a heuristic algorithm named FlexSize to solve it in practical time. In this paper, we address per-flow priority, in which flows of the same service, VNF, and host have different priorities. In addition, we expand FlexSize to handle per-flow priority. We evaluate per-flow and per-host priorities, and the numerical results show that per-flow priority reduces deployment cost compared with per-host priority.},
keywords={},
doi={10.1587/transcom.2022EBP3145},
ISSN={1745-1345},
month={September},}
부
TY - JOUR
TI - Service Deployment Model with Virtual Network Function Resizing Based on Per-Flow Priority
T2 - IEICE TRANSACTIONS on Communications
SP - 786
EP - 797
AU - Keigo AKAHOSHI
AU - Eiji OKI
PY - 2023
DO - 10.1587/transcom.2022EBP3145
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E106-B
IS - 9
JA - IEICE TRANSACTIONS on Communications
Y1 - September 2023
AB - This paper investigates a service deployment model for network function virtualization which handles per-flow priority to minimize the deployment cost. Service providers need to implement network services each of which consists of one or more virtual network functions (VNFs) with satisfying requirements of service delays. In our previous work, we studied the service deployment model with per-host priority; flows belonging to the same service, for the same VNF, and handled on the same host have the same priority. We formulated the model as an optimization problem, and developed a heuristic algorithm named FlexSize to solve it in practical time. In this paper, we address per-flow priority, in which flows of the same service, VNF, and host have different priorities. In addition, we expand FlexSize to handle per-flow priority. We evaluate per-flow and per-host priorities, and the numerical results show that per-flow priority reduces deployment cost compared with per-host priority.
ER -