Highly efficient data migration and backup for big data applications in elastic optical inter-data-center networks

Lu, Ping; Zhang, Liang; Liu, Xiahe; Yao, Jingjing; Zhu, Zuqing

doi:10.1109/mnet.2015.7293303

Cited by 344 publications

(60 citation statements)

References 12 publications

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“…Therefore, the power consumption of all servers inside the PNs and DCs is calculated using equation (8). Equation (9) represents the storage power consumption of node p. We performed the analysis by considering a network architecture where The model is defined as follows: Objective: Minimize (10) Equation (10) gives the model objective, which is to minimize the IP over WDM NPC as well as the PNs' and DCs' power consumption. Subject to: PNs and DCs Constraints: 1) Processing counter of big data Chunks constraint (11) Constraint (11) ensures that a Chunk c generated by PN s is processed by no more than one PN p. However, our model performs slicing, i.e., multiple servers could process a given Chunk in a PN as long as these servers belong to that PN.…”

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

confidence: 99%

“…The authors in [9] suggested that efficient bulk-data transfer in elastic optical networks (EONs) can be achieved with malleable reservation (MR). The authors in [10] discussed the technologies needed for realizing highly efficient data migration and backup for big data applications in elastic optical inter-data-center (inter-DC) networks. In [11], the authors investigated offline and online routing and spectrum assignment (RSA) problems for anycast requests in elastic optical inter-DC networks by formulating an Integer Linear Programming (ILP) model and proposed several heuristics based on single-DC destination selection.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Energy Efficient Big Data Networks: Impact of Volume and Variety

Al-Salim

Lawey

El-Gorashi

et al. 2018

IEEE Trans. Netw. Serv. Manage.

View full text Add to dashboard Cite

show abstract

“…The anycast (Zhang and Zhu, 2014;Goścień et al, 2014;Lu et al, 2015) and multicast Liu et al, 2013;Yang et al, 2015) traffic in EONs was also studied, but not so precisely. Also, joint optimization of different types of flows in EONs was studied for the following combinations: unicast together with anycast Goścień et al, 2014), unicast with multicast , anycast with multicast and three types of flows simultaneously (Aibin et al, 2016).…”

Section: Related Workmentioning

confidence: 99%

A column generation technique for routing and spectrum allocation in cloud–ready survivable elastic optical networks

Goścień

Walkowiak

2017

International Journal of Applied Mathematics and Computer Science

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Driven by increasing user requirements and expectations, the fast development of telecommunications networks brings new challenging optimization problems. One of them is routing and spectrum allocation (RSA) of three types of network flows (unicast, anycast, multicast) in elastic optical networks (EONs) implementing dedicated path protection (DPP). In the paper, we model this problem as integer linear programming (ILP) and we introduce two new optimization approaches-a dedicated heuristic algorithm and a column generation (CG)-based method. Then, relying on extensive simulations, we compare algorithm performance with reference methods and evaluate CG efficiency in detail. The results show that the proposed CG method significantly outperforms reference algorithms and achieves results very close to optimal ones (the average distance to optimal results was at most 2.1%).

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“…With the rapid development of the Internet of Things (IoT), cloud computing, and mobile Internet, the data volume grows dramatically, and high-speed information communicate between board-to-board, chip-to-chip and on-chip has become necessary [1,2]. However, due to the bottleneck effect, traditional electrical interconnect is difficult to solve the problem.…”

Section: Introductionmentioning

confidence: 99%

A design methodology to extend bandwidth for regulated cascode transimpedance amplifier

Xie

Mao

et al. 2017

IEICE Electron. Express

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This brief analyzes the performance of regulated cascode (RGC) topology and develops a broadband transimpedance amplifier (TIA) incorporated with a novel dual shunt-feedback configuration. Compared to traditional RGC circuit, the proposed TIA improves the natural frequency and optimizes the damping factor. Furthermore, the common source auxiliary amplifier is replaced by an inverter amplifier to provide extra gain and reduce the equivalent input noise current. Based on 0.18-µm CMOS technology, a TIA with enhanced RGC structure was optimized and implemented, and the fabricated chip was mounted on a Rogers 4003C printed circuit board. The experimental results demonstrate a 5.2 GHz bandwidth and a 60.5 dBΩ transimpedance gain for 0.5 pF photodetector capacitance. The fluctuation of group delay is less than 50 ps, and the measured average equivalent input noise current density is about 14.99 pA/√Hz. The chip consumes 28.4 mW using 1.8 V supply.

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Highly efficient data migration and backup for big data applications in elastic optical inter-data-center networks

Cited by 344 publications

References 12 publications

Energy Efficient Big Data Networks: Impact of Volume and Variety

Energy Efficient Big Data Networks: Impact of Volume and Variety

A column generation technique for routing and spectrum allocation in cloud–ready survivable elastic optical networks

A design methodology to extend bandwidth for regulated cascode transimpedance amplifier

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