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

Abstract

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. INDEX TERMS Energy efficiency, dynamic virtual optical network embedding, data center, sliceable transponder.

Joint Minimization of Spectrum and Power in Impairment-Aware Elastic Optical Networks

“…To increase network throughput and reduce traffic blocking in EONs, advanced resource allocation (RA) schemes have been proposed by researchers for both long-haul (i.e., backbone) [7], [8], [16], [37] and short-haul (i.e., access and data-center) networks [38]- [40]. CAPEX and OPEX minimization have also been explored in a number of studies [2], [12], [18], [19]. As impairments have shown to hinder the performance of an EON, many researchers have proposed PLI-aware resource allocation schemes as well [7], [8], [16].…”

“…To accommodate this growing demand, legacy wavelength division multiplexed optical networks are gradually being upgraded into EONs, which are shown to reduce cost, power consumption, and bandwidth waste, while increasing network throughput [1], [7]- [10]. The enabling technologies of EONs, such as bandwidth-variable wavelength crossconnects and transceivers as well as novel resource allocation schemes and standards, are thus being developed by researchers, vendors, and international standardization bodies [2], [4], [11]- [13].…”

“…Power consumption has a profound effect on the operational cost (OPEX) of an optical transport network [2], [12], [18], [19]. Especially in large core networks, where resources are provisioned to serve peak-hour traffic, a sig-nificant amount of power is consumed even during off-peak hours [2], [18], [20]- [22]. Power consumption of such networks can be reduced by dynamically adjusting the capacity of the network resources [12], [18], [20]- [23].…”

Parallel, Proactive and Power Efficient Virtual Network Embedding in a Green and Distributed SD-ODCN Architecture

“…The aim behind this later study is to parallelize the whole computation tasks. Another work [33] joined Sliceable-Transponders reusability together with DC consolidation, for an Energy-Aware Virtual Optical Network Embedding (EA-VONE). Still as an attempt to join network virtualization to server's consolidation, the work [28] tried to keep DC's network maintaining a Minimum Spanning Tree (MST) for minimum connectivity between servers.…”

EPVNE: An Efficient Parallelizable Virtual Network Embedding Algorithm

“…As Internet traffic has grown exponentially, network energy consumption has increased dramatically worldwide. Some researchers have considered energy consumption when studying virtual network mapping problems [37,38]. Energy efficiency, concurrency, and topology awareness are all considered when designing virtual network mapping algorithms [39].…”