A comparative analysis of data center network architectures

Yao, Fan; Wu, Jingxin; Venkataramani, Guru; Subramaniam, Suresh

doi:10.1109/icc.2014.6883798

Cited by 42 publications

(18 citation statements)

References 8 publications

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“…For the electrical DCNs, the total power consumption of the DCN is the sum of the power consumed by all the switches. Some papers have already given detailed analysis on these architectures and deduced the the number of components for a particular size of the DCN [1], [21].…”

Section: Power and Cost Comparisonmentioning

confidence: 99%

A Hierarchical WDM-Based Scalable Data Center Network Architecture

Diakonikolas

Modiano

et al. 2019

ICC 2019 - 2019 IEEE International Conference on Communications (ICC)

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Massive data centers are at the heart of the Internet. The rapid growth of Internet traffic and the abundance of rich data-driven applications have raised the need for enormous network bandwidth. Towards meeting this growing traffic demand, optical interconnects have gained significant attention, as they can provide high throughput, low latency, and scalability. In particular, optical Wavelength Division Multiplexing (WDM) provides the possibility to build data centers comprising of millions of servers, while providing hundreds of terabits per second bandwidth.In this paper, we propose a WDM-based Reconfigurable Hierarchical Optical Data Center Architecture (RHODA) that can satisfy future Internet traffic demands. To improve scalability, our DCN architecture is hierarchical, as it groups server racks into clusters. Cluster membership is reconfigurable through the use of optical switches. Each cluster enables heavy-traffic communication among the racks within. To support varying traffic patterns, the inter-cluster network topology and link capacities are also reconfigurable, which is achieved through the use of optical space switches and Wavelength Selective Switches (WSSs). Our simulation results demonstrate that in terms of average hop distance, RHODA outperforms OSA, FatTree and WaveCube by up to 81%, 66% and 60%, respectively.

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Section: Power and Cost Comparisonmentioning

confidence: 99%

A Hierarchical WDM-Based Scalable Data Center Network Architecture

Diakonikolas

Modiano

et al. 2019

ICC 2019 - 2019 IEEE International Conference on Communications (ICC)

Self Cite

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“…We have chosen this maximum value because the current datacenter network topologies are designed with a maximum of six hops between any pair of nodes [25].…”

Section: Characterizing the Impact Of Path Length On Communicationsmentioning

confidence: 99%

Softening Up the Network for Scientific Applications

Trois

Bona

Fabro

et al. 2017

2017 25th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)

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“…Optimizing the various aspects in data center systems with the consideration of user-level service agreement is a critical and challenging mission [21], [31], [41], [43], [68].…”

Section: Introductionmentioning

confidence: 99%

HolDCSim: A Holistic Simulator for Data Centers

Yao

Ngyugen

Dayapule

et al. 2019

2019 IEEE International Symposium on Workload Characterization (IISWC)

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Cloud computing based systems, that span data centers, are commonly deployed to offer high performance for user service requests. As data centers continue to expand, computer architects and system designers are facing many challenges on how to balance resource utilization efficiency, server and network performance, energy consumption and quality-of-service (QoS) demands from the users.To develop effective data center management policies, it becomes essential to have an in-depth understanding and synergistic control of the various sub-components inside large scale computing systems, that include both computation and communication resources. Prior studies on performance and energy issues in data centers largely focus on either servers or the network and completely ignore issues relating to the other components, or consider only high level analytical models without sufficient detail, which can lead to non-optimal solutions. Unfortunately, it is prohibitively expensive or in some cases even impossible to have complete access to an operational large-scale computing system (e.g., production server farms). Therefore, a comprehensive simulation infrastructure that models all major hardware and system components, and offers interfaces to manage the interplay between both computation and communication resources are critical in advancing future research for more effective performance and energy optimization in data centers.In this paper, we propose HolDCSim, a light-weight, holistic, extensible, event-driven data center simulation platform that effectively models both server and network architectures. HolD-CSim can be used in a variety of data center system studies including job/task scheduling, resource provisioning, global and local server farm power management, and network and server performance analysis. We demonstrate the design of our simulation infrastructure, and illustrate the usefulness of our framework with several case studies that analyze server/network performance and energy efficiency. We also perform validation on real machines to verify our simulator.HolDCSim models a complete data center infrastructure by modeling network devices (e.g., switches) and interconnection among various nodes in the system (i.e., topologies). The network module creates a complete topology by connecting the switches and servers with network links. Network communication is modeled at two levels of granularity: packetbased communication and flow-based communication. Each

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A comparative analysis of data center network architectures

Cited by 42 publications

References 8 publications

A Hierarchical WDM-Based Scalable Data Center Network Architecture

A Hierarchical WDM-Based Scalable Data Center Network Architecture

Softening Up the Network for Scientific Applications

HolDCSim: A Holistic Simulator for Data Centers

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