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
Kertas kerja ini menyiasat model penggunaan perkhidmatan untuk virtualisasi fungsi rangkaian yang mengendalikan keutamaan setiap aliran untuk meminimumkan kos penggunaan. Pembekal perkhidmatan perlu melaksanakan perkhidmatan rangkaian yang setiap satunya terdiri daripada satu atau lebih fungsi rangkaian maya (VNF) dengan keperluan kelewatan perkhidmatan yang memuaskan. Dalam kerja kami sebelum ini, kami mengkaji model penggunaan perkhidmatan dengan keutamaan setiap hos; aliran yang dimiliki oleh perkhidmatan yang sama, untuk VNF yang sama, dan dikendalikan pada hos yang sama mempunyai keutamaan yang sama. Kami merumuskan model sebagai masalah pengoptimuman, dan membangunkan algoritma heuristik bernama FlexSize untuk menyelesaikannya dalam masa praktikal. Dalam kertas ini, kami menangani keutamaan setiap aliran, di mana aliran perkhidmatan yang sama, VNF dan hos mempunyai keutamaan yang berbeza. Di samping itu, kami mengembangkan FlexSize untuk mengendalikan keutamaan setiap aliran. Kami menilai keutamaan setiap aliran dan setiap hos, dan keputusan berangka menunjukkan bahawa keutamaan setiap aliran mengurangkan kos penggunaan berbanding dengan keutamaan setiap hos.
Keigo AKAHOSHI
Kyoto University
Eiji OKI
Kyoto University
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Salinan
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
Salinan
@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},}
Salinan
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 -