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(June 16)Orchestrating Multicast-Oriented NFV Trees in Inter-DC Elastic Optical Networks

Time: Jun 14, 2016

时间 地点
人物

Title:

Orchestrating  Multicast-Oriented NFV Trees in Inter-DC Elastic Optical Networks

Lecturer:

Dr.  ZHU Zuqing

Time:

9:30, June 16,  2016

Venue:

609, New  Science & Technology Building, North Campus

Lecturer  Profile

Dr.  Zuqing Zhu received the PhD degrees from the Department of Electrical and  Computer Engineering, University of California, Davis, in 2007. In Jul. 2007,  he joined the Service Provider Technology Group of Cisco Systems, San Jose, as  a senior software engineer. In Jan. 2011, Dr. Zhu joined the University of  Science and Technology of China (USTC), where he is now a full professor. He  has published more than 150 papers on the peer-reviewed journals and  conferences. Dr. Zhu is an editorial board member of IEEE Communications  Magazine, and others. He has received the Best Paper Awards from IEEE ICC 2013,  IEEE GLOBECOM 2013, IEEE ICNC 2014, and IEEE ICC 2015.He is a Senior Member of  IEEE and a Senior Member of OSA.

Lecture  Abstract

It  is known that by incorporating network function virtualization (NFV) in  inter-datacenter (inter-DC) networks, we can use the network resources more  intelligently to deploy new services faster. This paper considers an inter-DC  elastic optical network (IDC-EON) and studies how to orchestrate the  multicast-oriented NFV trees (M-NFV-Ts) in it efficiently. We first consider an  offline scenario in which all the M-NFV-Ts are known and need to be served in  the network. A mixed integer linear programming (MILP) model is formulated to  solve the problem exactly, and we also propose a heuristic based on  path-intersection (PI) to reduce the time complexity. With extensive  simulations, we show that the proposed heuristic can approximate the MILP's performance  on low-cost M-NFV-T provisioning but only requires much shorter running time.  Next, the online scenario where the M-NFV-Ts can come and leave on-the-fly is  addressed, and we leverage PI to design two online algorithms for orchestrating  dynamic M-NFV-Ts in IDC-EONs, i.e., with either the batch (B-PI) or sequential  (S-PI) scheme. Simulation results indicate that compared with S-PI, B-PI can  reduce blocking probability effectively.

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