Energy-Aware Virtual Optical Network Embedding in Sliceable-Transponder-Enabled Elastic Optical Networks

Network virtualization has been widely considered to improve the resource efficiency of network infrastructure by allowing multiple virtual networks to coexist on a shared substrate network. With the exponential growth of Internet traffic, the network energy consumption incurs a considerable increas...

Full description

Bibliographic Details
Main Authors: Min Zhu, Qing Sun, Shengyu Zhang, Pan Gao, Bin Chen, Jiahua Gu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8612923/
id doaj-1c3278e59b8647d4b4bfe3d4634226b3
record_format Article
spelling doaj-1c3278e59b8647d4b4bfe3d4634226b32021-03-29T22:47:14ZengIEEEIEEE Access2169-35362019-01-017418974191210.1109/ACCESS.2019.28929938612923Energy-Aware Virtual Optical Network Embedding in Sliceable-Transponder-Enabled Elastic Optical NetworksMin Zhu0https://orcid.org/0000-0003-4359-1552Qing Sun1Shengyu Zhang2https://orcid.org/0000-0002-6727-8336Pan Gao3Bin Chen4Jiahua Gu5National Mobile Communications Research Laboratory, Southeast University, Nanjing, ChinaSchool of Electronic Science and Engineering, Southeast University, Nanjing, ChinaSchool of Electronic Science and Engineering, Southeast University, Nanjing, ChinaSchool of Electronic Science and Engineering, Southeast University, Nanjing, ChinaSchool of Electronic Science and Engineering, Southeast University, Nanjing, ChinaSchool of Electronic Science and Engineering, Southeast University, Nanjing, ChinaNetwork virtualization has been widely considered to improve the resource efficiency of network infrastructure by allowing multiple virtual networks to coexist on a shared substrate network. With the exponential growth of Internet traffic, the network energy consumption incurs a considerable increase around the world. In this paper, we consider energy-aware virtual optical network embedding (EA-VONE) issue in flexible-grid elastic optical networks (EONs), while sliceable transponders (TPs) are assumed to be equipped in each node. First, an integer linear programming (ILP) model for the energy-minimized VONE is developed to optimally solve this problem. Due to the non-scalability of the ILP model, we then design two energy-saving policies for data centers (DCs) and TPs in the process of the node mapping and link mapping, respectively. Based on the two policies, two heuristic schemes are also developed: 1) DC-EA scheme, which only considers DC energy-saving in the node mapping procedure and 2) DC&TP-EA scheme, which simultaneously considers the energy-saving for both the DCs in the node mapping and TPs in the link mapping. Moreover, offline and online EA-VONE algorithms are developed. To investigate the benefits of the two energy-saving (i.e., DC-EA and DC&TP-EA) schemes, a benchmark scheme is also realized, which only maintains traffic-balancing (TB) policy without any energy-saving consideration. The simulation results indicate that our proposed DC&TP-EA scheme achieves the maximum power saving efficiency compared with the DC-EA and TB schemes. Also, in the DC-EA and DC&TP-EA schemes, the effect of DC energy saving is very remarkable when the traffic load is smaller. With the increase of traffic load, the DC energy saving may matter less, meanwhile, the TP energy-saving plays a more and more important role. Moreover, both the DC&TP-EA and DC-EA schemes maintain similar blocking performance as that of the TB scheme, which shows the superiority of our proposed schemes.https://ieeexplore.ieee.org/document/8612923/Energy efficiencydynamic virtual optical network embeddingdata centersliceable transponder
collection DOAJ
language English
format Article
sources DOAJ
author Min Zhu
Qing Sun
Shengyu Zhang
Pan Gao
Bin Chen
Jiahua Gu
spellingShingle Min Zhu
Qing Sun
Shengyu Zhang
Pan Gao
Bin Chen
Jiahua Gu
Energy-Aware Virtual Optical Network Embedding in Sliceable-Transponder-Enabled Elastic Optical Networks
IEEE Access
Energy efficiency
dynamic virtual optical network embedding
data center
sliceable transponder
author_facet Min Zhu
Qing Sun
Shengyu Zhang
Pan Gao
Bin Chen
Jiahua Gu
author_sort Min Zhu
title Energy-Aware Virtual Optical Network Embedding in Sliceable-Transponder-Enabled Elastic Optical Networks
title_short Energy-Aware Virtual Optical Network Embedding in Sliceable-Transponder-Enabled Elastic Optical Networks
title_full Energy-Aware Virtual Optical Network Embedding in Sliceable-Transponder-Enabled Elastic Optical Networks
title_fullStr Energy-Aware Virtual Optical Network Embedding in Sliceable-Transponder-Enabled Elastic Optical Networks
title_full_unstemmed Energy-Aware Virtual Optical Network Embedding in Sliceable-Transponder-Enabled Elastic Optical Networks
title_sort energy-aware virtual optical network embedding in sliceable-transponder-enabled elastic optical networks
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2019-01-01
description Network virtualization has been widely considered to improve the resource efficiency of network infrastructure by allowing multiple virtual networks to coexist on a shared substrate network. With the exponential growth of Internet traffic, the network energy consumption incurs a considerable increase around the world. In this paper, we consider energy-aware virtual optical network embedding (EA-VONE) issue in flexible-grid elastic optical networks (EONs), while sliceable transponders (TPs) are assumed to be equipped in each node. First, an integer linear programming (ILP) model for the energy-minimized VONE is developed to optimally solve this problem. Due to the non-scalability of the ILP model, we then design two energy-saving policies for data centers (DCs) and TPs in the process of the node mapping and link mapping, respectively. Based on the two policies, two heuristic schemes are also developed: 1) DC-EA scheme, which only considers DC energy-saving in the node mapping procedure and 2) DC&TP-EA scheme, which simultaneously considers the energy-saving for both the DCs in the node mapping and TPs in the link mapping. Moreover, offline and online EA-VONE algorithms are developed. To investigate the benefits of the two energy-saving (i.e., DC-EA and DC&TP-EA) schemes, a benchmark scheme is also realized, which only maintains traffic-balancing (TB) policy without any energy-saving consideration. The simulation results indicate that our proposed DC&TP-EA scheme achieves the maximum power saving efficiency compared with the DC-EA and TB schemes. Also, in the DC-EA and DC&TP-EA schemes, the effect of DC energy saving is very remarkable when the traffic load is smaller. With the increase of traffic load, the DC energy saving may matter less, meanwhile, the TP energy-saving plays a more and more important role. Moreover, both the DC&TP-EA and DC-EA schemes maintain similar blocking performance as that of the TB scheme, which shows the superiority of our proposed schemes.
topic Energy efficiency
dynamic virtual optical network embedding
data center
sliceable transponder
url https://ieeexplore.ieee.org/document/8612923/
work_keys_str_mv AT minzhu energyawarevirtualopticalnetworkembeddinginsliceabletransponderenabledelasticopticalnetworks
AT qingsun energyawarevirtualopticalnetworkembeddinginsliceabletransponderenabledelasticopticalnetworks
AT shengyuzhang energyawarevirtualopticalnetworkembeddinginsliceabletransponderenabledelasticopticalnetworks
AT pangao energyawarevirtualopticalnetworkembeddinginsliceabletransponderenabledelasticopticalnetworks
AT binchen energyawarevirtualopticalnetworkembeddinginsliceabletransponderenabledelasticopticalnetworks
AT jiahuagu energyawarevirtualopticalnetworkembeddinginsliceabletransponderenabledelasticopticalnetworks
_version_ 1724190879348948992