Name
Abstract | ||
|---|---|---|
Software-defined networking (SDN) enables efficient and scalable network virtualization, which allows infrastructure resources such as computing and networking resources to be abstracted and outsourced as a service. The SDN technologies can be extended to the optical transport networks to achieve an intelligent and flexible resource management, thus achieving high-capacity, low-cost, and long-reach optical transport networks. In this paper, we introduce an architecture for software-defined elastic optical networks and study the virtual infrastructure (VI) mapping problem with the objective of minimizing the blocking probability. We propose a set of efficient heuristic algorithms, among which the Network followed by Compute Load Balancing (NCLB) algorithm is a novel attempt to solve the VI mapping problem by provisioning the networking resource first followed by allocating the computing resource. Furthermore, we propose a modified version of NCLB, called Network Depth-based NCLB (ND-NCLB), which confines the VI mapping assignment in a small-range sub-network to further optimize the physical network resource consumption. Through comprehensive simulations in various scenarios, we demonstrate that the proposed ND-NCLB algorithm achieves the best performance in terms of blocking probability compared to the other algorithms in this work. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/s11107-016-0678-4 | Photonic Network Communications |
Keywords | Field | DocType |
Software-defined networking,Elastic optical networks,Virtual infrastructure mapping | Resource management,Heuristic,Computer science,Load balancing (computing),Computer network,Provisioning,Software,Software-defined networking,Network virtualization,Scalability,Distributed computing | Journal |
Volume | Issue | ISSN |
34 | 1 | 1572-8188(Series Online ISSN)1387-974X(Series Print ISSN) |
Citations | PageRank | References |
0 | 0.34 | 9 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zilong Ye | 1 | 78 | 11.97 |
| Zhu Yuqing | 2 | 467 | 37.26 |
| Philip N. Ji | 3 | 44 | 6.98 |
| Chengyu Sun | 4 | 7 | 1.20 |
| Raj Pamula | 5 | 5 | 4.45 |