As Network Functions Virtualization (NFV) / Software Defined Networking (SDN) technologies gradually mature as representative next-generation network technologies, management and orchestration (MANO) technologies that manage the Service Function Chain (SFC) have received plenty of attention from industry and academia. However, a number of present research challenges have been addressing only resource efficiency related with usage rates of Virtualized Network Functions (VNFs) without network properties in terms of NFV-MANO orchestrator. Different network characteristics are considered due to use network slicing technology which provides dedicated logical networks from a physical network for tailored network services. In this paper, we proposed Graph Selection Manager (GSM) to provide one or more VNF forwarding graphs under maximum latency considering inter-latency and intra-latency as well as VNFs and network capacity. As a result of experimental emulation, we found one or more VNF forwarding graphs meeting service level agreement (SLA) of a tenant in limited network capacity, and established one or more end-to-end network services with sustained low latency.
|Title of host publication||32nd International Conference on Information Networking, ICOIN 2018|
|Publisher||IEEE Computer Society|
|Number of pages||6|
|Publication status||Published - 2018 Apr 19|
|Event||32nd International Conference on Information Networking, ICOIN 2018 - Chiang Mai, Thailand|
Duration: 2018 Jan 10 → 2018 Jan 12
|Name||International Conference on Information Networking|
|Conference||32nd International Conference on Information Networking, ICOIN 2018|
|Period||18/1/10 → 18/1/12|
Bibliographical noteFunding Information:
ACKNOWLEDGMENT This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (NRF-2017R1A2B4008503).
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Information Systems