Network Coding for Energy Efficiency in Bypass IP/WDM Networks

Network coding has been proven to be an effective approach towards achieving the network capacity and resources efficiency. However, most of the work achieved has been under the umbrella of wireless networks. In this paper we investigate the use of network coding to improve energy efficiency of the IP/WDM optical core considering unicast traffic flows by implementing coding at the optical layer of intermediate nodes. The mixed integer linear programming results show that network coding can improve the energy efficiency by up to 28% on the NSFNET compared to conventional non-bypass approach. The results show that the network coded bypass approach also outperforms the conventional bypass approach

Impact of the Net Neutrality Repeal on Communication Networks

Network neutrality is the principle of treating equally all Internet traffic regardless of its source, destination, content, application or other related distinguishing metrics. Under net neutrality, Internet service providers (ISPs) are compelled to charge all content providers (CPs) the same per Gbps rate despite the growing profit achieved by CPs. In this paper, we study the impact of the repeal of net neutrality on communication networks by developing a techno-economic Mixed Integer Linear Programming (MILP) model to maximize the potential profit ISPs can achieve by offering their services to CPs. We consider an ISP that offers CPs different classes of service representing typical video content qualities. The MILP model maximizes the ISP profit by optimizing the prices of the different classes according to the users’ demand sensitivity to the change in price, referred to as Price Elasticity of Demand (PED). We analyze how PED impacts the profit in different CP delivery scenarios in cloud-fog architectures. The results show that the repeal of net neutrality can potentially increase ISPs profit by a factor of 8 with a pricing scheme that discriminates against data intensive content. Also, the repeal of net neutrality positively impacts the network energy efficiency by reducing the core network power consumption by 55% as a result of suppressing data intensive content compared to the net neutrality scenario

Cloud Virtual Network Embedding: Profit, Power and Acceptance

In this paper, we investigate maximizing the profit achieved by infrastructure providers (InPs) from embedding virtual network requests (VNRs) in IP/WDM core networks with clouds. We develop a mixed integer linear programming (MILP) model to study the impact of maximizing the profit on the power consumption and acceptance of VNRs. The results show that higher acceptance rates do not necessarily lead to higher profit due to the high cost associated with accepting some of the requests. The results also show that minimum power consumption can be achieved while maintaining the maximum profit

Energy Efficient Core Networks Using Network Coding

In this paper we investigate the use of network coding to improve energy efficiency of core networks. A mixed integer linear programming model is developed to optimize routing in network coding enabled non-bypass IP/WDM networks considering unicast traffic flows. We quantify the power savings obtained by implementing network coding. The results show that network coding can improve the energy efficiency of non-bypass IP/WDM networks by up to 33% compared to conventional architectures

Energy efficiency of Optical OFDM-based networks

Orthogonal Frequency Division Multiplexing (OFDM) has been proposed as an enabling technique for elastic optical networks to support heterogeneous traffic demands. In this paper, we investigate the energy efficiency of rate and modulation adaptive optical OFDM-based networks. A mixed integer linear programming (MILP) model is developed to minimize the total power consumption of optical OFDM networks. We differentiate between two optimization schemes: power-minimized and spectrum-minimized optical OFDM-based networks. The results show that while similar power consumption savings of up to 31% are achieved by the two schemes compared to conventional IP over WDM networks, the spectrum-minimized optical OFDM is 51% more efficient in utilizing the spectrum compared to the power-minimized optical OFD

Joint optimization of power, electricity cost and delay in IP over WDM networks

In this paper, we investigate the joint optimization of power, electricity cost and propagation delay in IP over WDM networks employing renewable energy. We develop a mixed integer linear programming (MILP) model to jointly minimize the three parameters and compare its results to the results of optimizing these parameters individually. The models results show that the joint optimization maintains the power consumption and electricity cost savings obtained by the non-renewable powerminimized and the electricity cost-minimized models while hardly affecting the propagation delay. Compared to the delay-minimized model, the joint optimization model achieves power consumption and electricity cost savings of 73% and 74%, respectively under the non-bypass approach considering a unicasting traffic profile. The power and cost savings under an anycasting traffic profile increases to 82%

Energy Efficient Cloud Networks

Cloud computing is expected to be a major factor that will dominate the future Internet service model. This paper summarizes our work on energy efficiency for cloud networks. We develop a framework for studying the energy efficiency of four cloud services in IP over WDM networks: cloud content delivery, storage as a service (StaaS), and virtual machines (VMS) placement for processing applications and infrastructure as a service (IaaS).Our approach is based on the co-optimization of both external network related factors such as whether to geographically centralize or distribute the clouds, the influence of users’ demand distribution, content popularity, access frequency and renewable energy availability and internal capability factors such as the number of servers, switches and routers as well as the amount of storage demanded in each cloud. Our investigation of the different energy efficient approaches is backed with Mixed Integer Linear Programming (MILP) models and real time heuristic

Energy Efficient Disaggregated Servers for Future Data Centers

With the dawn of cloud computing, data centers’ power consumption has received increased attention. In this paper we evaluate the energy efficiency potential of exploiting the concept of Disaggregated Server (DS) design in data centers for efficient resource provisioning. A DS, is a new approach for future racks where servers are disaggregated and resources, such as processors, memory and IO ports are arranged in resource pools constructing processing pools, memory pools and IO pools. We developed a mixed integer linear programming (MILP) model for energy minimization of the virtual machine (VM) placement problem in data centres implementing DS approach. The results show that the average power savings are up to 49% for the different VM types considered

Energy Efficiency of Server-Centric PON Data Center Architecture for Fog Computing

In this paper, we utilize Mixed Integer Linear Programming (MILP) models to compare the energy efficiency and performance of a server-centric Passive Optical Networks (PON)-based data centers design with different data centers networking topologies for the use in fog computing. For representative MapReduce workloads, completion time results indicate that the server-centric PON-based design achieves 67% reduction in the energy consumption compared to DCell with equivalent performance

Green virtual network embedding in optical OFDM cloud networks

Network virtualization has been identified as the mainstay of the current and future success of cloud computing networks. In this work, we study Virtual Network Embedding (VNE) over Optical Orthogonal Frequency Division Multiplexing (O-OFDM) networks as a means of allocating resources in a cloud computing network environment. We investigate two approaches to embed virtual networks in IP over O-OFDM networks: power minimized O-OFDM networks and spectrum minimized O-OFDM networks. The results show that the virtual network embedding in both power and spectrum minimized IP over O-OFDM networks outperform VNE in a 100 Gb/s IP over WDM network with average power savings of 63% and 17%, respectively