On the Energy Efficiency of Physical Topology Design for IP over WDM Networks

Dong, Xiaowen; El-Gorashi, Taisir E. H.; Elmirghani, Jaafar M. H.

doi:10.1109/jlt.2012.2186557

Cited by 117 publications

(90 citation statements)

References 24 publications

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“…Volume MILP Model In this section, we introduce a MILP model for EEBDN using a bypass IP over WDM network, (see [16] and [23] for details of MILP in IP over WDM networks). The PNs are attached to each core node of the NSFNET and consist of limited processing and storage resources, as depicted in Fig.…”

Section: Eebdn: Illustrative Examplementioning

confidence: 99%

“…Note that, in addition to the existence of these big data Chunks and Infos in the network, we assume, for realistic considerations, that there is additional traffic between core nodes, which is referred to as regular traffic. This traffic represents any data that is not intended for big data analytics [23]. Table II defines the parameters and variables used in the EEBDN model : TABLE II LIST OF PARAMETERS AND VARIABLES AND THEIR DEFINITIONS.…”

Section: Eebdn: Illustrative Examplementioning

confidence: 99%

“…To avoid blocking of big data Chunks, we assume that the internal switches and routers capacity of the PNs is also large enough. The IP over WDM Network Constraints: 1) Flow conservation constraints for the regular traffic (22) 2) Flow conservation constraints for the big data Chunks traffic (23) 3) Flow conservation constraints for the big data Info traffic (24) Constraints (22)(23)(24) represent the flow conservation constraints for the regular traffic Rsd, big data Chunks traffic CHTsp and big data Info traffic INFpd, in the IP layer. These constraints ensure that the total outgoing traffic should be equal to the total incoming traffic, except for the source and destination nodes.…”

Section: Power Consumption Of Optical Switch Installed At Node I N (Wmentioning

confidence: 99%

See 2 more Smart Citations

Energy Efficient Big Data Networks: Impact of Volume and Variety

Al-Salim

Lawey

El-Gorashi

et al. 2018

IEEE Trans. Netw. Serv. Manage.

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Abstract-In this article, we study the impact of big data's volume and variety dimensions on Energy Efficient Big Data Networks (EEBDN) by developing a Mixed Integer Linear Programming (MILP) model to encapsulate the distinctive features of these two dimensions. Firstly, a progressive energy efficient edge, intermediate, and central processing technique is proposed to process big data's raw traffic by building processing nodes (PNs) in the network along the way from the sources to datacenters. Secondly, we validate the MILP operation by developing a heuristic that mimics, in real time, the behaviour of the MILP for the volume dimension. Thirdly, we test the energy efficiency limits of our green approach under several conditions where PNs are less energy efficient in terms of processing and communication compared to data centers. Fourthly, we test the performance limits in our energy efficient approach by studying a "software matching" problem where different software packages are required to process big data. The results are then compared to the Classical Big Data Networks (CBDN) approach where big data is only processed inside centralized data centers. Our results revealed that up to 52% and 47% power saving can be achieved by the EEBDN approach compared to the CBDN approach, under the impact of volume and variety scenarios, respectively. Moreover, our results identify the limits of the progressive processing approach and in particular the conditions under which the CBDN centralized approach is more appropriate given certain PNs energy efficiency and software availability levels. Index Terms -Big data volume, big data variety, energy efficient networks, IP over WDM core networks, MILP, processing location optimization, software matching.

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Section: Eebdn: Illustrative Examplementioning

confidence: 99%

Section: Eebdn: Illustrative Examplementioning

confidence: 99%

Section: Power Consumption Of Optical Switch Installed At Node I N (Wmentioning

confidence: 99%

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Energy Efficient Big Data Networks: Impact of Volume and Variety

Al-Salim

Lawey

El-Gorashi

et al. 2018

IEEE Trans. Netw. Serv. Manage.

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“…Although a full-meshed and highly over-provisioned topology is ideal from the perspective of protection, the number of deployed links and their capacities should be traded against energy consumption. This trade-off was considered in [5] for physical topology design. The constraint on minimum nodal degree equal to 2 (securing at least one alternative path) leads to negligible increase of network power consumption (0.5% increase with respect to a network with minimum nodal degree equal to 1 using multi-hop bypass approach and symmetric traffic demand for the NSFNET network).…”

Section: Long-term Static Architecture Network Design Choicesmentioning

confidence: 99%

“…Therefore, how to handle this potential variation from the protection point of view is an open question. There are some works that differentiated traffic in different time zones (e.g., [5]) or used traffic data originating from measurements (e.g., [9]). However, to the best of our knowledge, there is no related work focused on geographical traffic distribution and green networking.…”

Section: Open Issues In Adaptation To Short-term Traffic Dynamicsmentioning

confidence: 99%

Energy-efficient resilient optical networks: Challenges and trade-offs

Arribas

Elmirghani

et al. 2015

IEEE Commun. Mag.

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Energy-efficiency and resiliency are two well-established research topics in optical transport networks. On the other hand, their overall objectives (i.e., power minimization and resourceutilization/availability maximization) are in contrast. In fact, provisioning schemes optimized for best resiliency performance are in most cases not energy-efficient in their operations, and vice versa. However, very few works in the literature consider the interesting issues that may arise when energyefficiency and resiliency are combined in the same networking solution. The objective of this paper is to identify a number of research challenges and trade-offs for the design of energy-efficient and resilient optical transport networks from the perspective of: long-term traffic forecasts, short-term traffic dynamics, and Service Level Agreement (SLA) requirements. We support the challenges with justifying numbers based on lessons learnt from our previous work. The paper also discusses suitable metrics for energy-efficiency and resiliency evaluation, in addition to a number of steps that need to be taken at the standardization level to incorporate energy-efficiency into already existing and wellestablished protocols.

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Hybrid Wireless–Local Communication via Information Propagation for Modular Robotic Synchronization Applications

Holdcroft

Belke

Sigrist

et al. 2022

Advanced Intelligent Systems

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Modular robots (MRs) are a collection of individual robotic components which interlock in order to construct a full robot. [1] By adjusting the way in which these components connect, a robot can change topology to best suit the environment or task at hand. This adaptability poses advantages over traditional robots, as they can modify their underlying structure to improve performance or achieve tasks which otherwise would be impossible. MRs are particularly useful where the environment or task space is either unknown or very large, which includes disaster recovery, [2] space, [3,4] adaptive furniture, [5] structures, [6] tooling, [7] and education. [8] Failure due to scalability in numbers is a fundamental issue for MRs. Most experimental MRs run with less than 30 modules at a time, such as those listed in Table 1. If an element within a module fails 1% of the time, then one out of 30 modules will statistically fail during 26% of trials. [9] If there is no redundancy in place, the entire robot could fail. Many simulations run with hundreds of modules. [10] If MRs are to have hundreds modules with any sort of stability, then there must be a high degree of redundancy to account for failures. Synchronization of modules is critical. If a module acts out of synchronization with the others, not only will the robot fail to perform tasks properly, but its behavior may be self-destructive through self-collision. Communication therefore is a fundamental topic in MRs, where most robots opt for a combination of different types according to their speciality. Global communication spans the whole robot, while local communication acts just between neighboring modules. Local is necessary for configuration discovery and synchronization between neighbors. If the configuration is known and has a small number of modules, global communication eliminates the need for local communication, but most MRs opt for a combined solution to avoid overloading a single system, as shown in Table 1.The current trend for global communication is toward wireless. [11] Wireless communication allows for MRs to easily synchronize across all modules and interface with an external controller, but suffers from interference and packet loss with many clients. [9] Wireless systems consume far more power than local communication and are enough to negatively impact the performance of a robot. Lastly, there is another trend toward incorporating specialized modules with elements such as wireless cameras and other specific sensors. [10] These data-heavy devices will significantly impact the reliability of the networks with a high number of clients.

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On the Energy Efficiency of Physical Topology Design for IP over WDM Networks

Cited by 117 publications

References 24 publications

Energy Efficient Big Data Networks: Impact of Volume and Variety

Energy Efficient Big Data Networks: Impact of Volume and Variety

Energy-efficient resilient optical networks: Challenges and trade-offs

Hybrid Wireless–Local Communication via Information Propagation for Modular Robotic Synchronization Applications

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