TY - GEN
T1 - Reliable and efficient deployment for virtual network functions
AU - Sun, Jian
AU - Sun, Gang
AU - Liao, Dan
AU - Li, Yao
AU - Ramachandran, Muthu
AU - Chang, Victor
N1 - Publisher Copyright:
© Springer International Publishing AG 2018.
PY - 2018
Y1 - 2018
N2 - Network function virtualization (NFV) is a promising technique aimed at reducing capital expenditures (CAPEX) and operating expenditures (OPEX), and improving the flexibility and scalability of an entire network. However, this emerging technique has some challenges. A major problem is reliability, which involves ensuring the availability of deployed SFCs, namely, the probability of successfully chaining a series of big-data-based virtual network functions (VNFs) while considering both the feasibility and the specific requirements of clients, because the substrate network remains vulnerable to earthquakes, floods and other natural disasters. Based on the premise of users’ demands for SFC requirements, we present an Ensure Reliability Cost Saving (ER_CS) algorithm to reduce the CAPEX and OPEX of telecommunication service providers (TSPs) by reducing the reliability of the SFC deployments. We employ big-data-based arbitrary topologies as the substrate network. The results of extensive experiments indicate that the proposed algorithms perform efficiently in terms of the blocking ratio, resource consumption and time consumption.
AB - Network function virtualization (NFV) is a promising technique aimed at reducing capital expenditures (CAPEX) and operating expenditures (OPEX), and improving the flexibility and scalability of an entire network. However, this emerging technique has some challenges. A major problem is reliability, which involves ensuring the availability of deployed SFCs, namely, the probability of successfully chaining a series of big-data-based virtual network functions (VNFs) while considering both the feasibility and the specific requirements of clients, because the substrate network remains vulnerable to earthquakes, floods and other natural disasters. Based on the premise of users’ demands for SFC requirements, we present an Ensure Reliability Cost Saving (ER_CS) algorithm to reduce the CAPEX and OPEX of telecommunication service providers (TSPs) by reducing the reliability of the SFC deployments. We employ big-data-based arbitrary topologies as the substrate network. The results of extensive experiments indicate that the proposed algorithms perform efficiently in terms of the blocking ratio, resource consumption and time consumption.
KW - Economical big data networking
KW - Network function virtual
KW - Reliability
KW - Service function chains
UR - http://www.scopus.com/inward/record.url?scp=85041806625&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-73830-7_37
DO - 10.1007/978-3-319-73830-7_37
M3 - Conference Proceeding
AN - SCOPUS:85041806625
SN - 9783319738291
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 375
EP - 384
BT - Smart Computing and Communication - 2nd International Conference, SmartCom 2017, Proceedings
A2 - Qiu, Meikang
PB - Springer Verlag
T2 - 2nd International Conference on Smart Computing and Communication, SmartCom 2017
Y2 - 10 December 2017 through 12 December 2017
ER -