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Google architecture
Aruna Bianzino, Claude Chaudet, D. Rossi, J. Rougier (2010)
A Survey of Green Networking ResearchIEEE Communications Surveys & Tutorials, 14
(2005)
Copyright
D. Kliazovich, P. Bouvry, S. Khan (2010)
GreenCloud: a packet-level simulator of energy-aware cloud computing data centersThe Journal of Supercomputing, 62
Mohammad Al-Fares, Alexander Loukissas, Amin Vahdat (2008)
A scalable, commodity data center network architecture
A. Greenberg, James Hamilton, Navendu Jain, Srikanth Kandula, Changhoon Kim, Parantap Lahiri, D. Maltz, Parveen Patel, S. Sengupta (2009)
VL2: a scalable and flexible data center network
(2007)
Do it green: media interview with Michael Manos
Kai Chen, Chengchen Hu, Xin Zhang, K. Zheng, Yan Chen, A. Vasilakos (2011)
Survey on routing in data centers: insights and future directionsIEEE Network, 25
S. Sengupta (2011)
Cloud data center networks: technologies, trends, and challenges
(2007)
Microsoft: datacenter growth defies Moore’s law. http://www.pcworld.com/article/id,130921/article
T. O'Riordan (1994)
Green networksNature, 370
Powering the Yahoo! network
T. Ng, Guohui Wang, D. Andersen, M. Kaminsky, K. Papagiannaki, Eugene Ng, M. Kozuch, Michael Ryan, H. Bazzaz, Malveeka Tewari, G. Porter, A. Vahdat (2010)
c-Through: part-time optics in data centers
(2010)
Cisco Data Center Infrastructure 2.5 Design Guide. Cisco press
L. Popa, S. Ratnasamy, G. Iannaccone, A. Krishnamurthy, I. Stoica (2010)
A cost comparison of datacenter network architecturesProceedings of the 6th International COnference
(2012)
Concurrency Computat.: Pract. Exper
S. Zeadally, S. Khan, N. Chilamkurti (2012)
Energy-efficient networking: past, present, and futureThe Journal of Supercomputing, 62
Radhika Mysore, Andreas Pamboris, Nathan Farrington, Nelson Huang, Pardis Miri, Sivasankar Radhakrishnan, V. Subramanya, Amin Vahdat (2009)
PortLand: a scalable fault-tolerant layer 2 data center network fabric
Priya Mahadevan, P. Sharma, S. Banerjee, Parthasarathy Ranganathan (2009)
Energy Aware Network OperationsIEEE INFOCOM Workshops 2009
Chuanxiong Guo, Haitao Wu, Kun Tan, Lei Shi, Yongguang Zhang, Songwu Lu (2008)
Dcell: a scalable and fault-tolerant network structure for data centers
S. Heller (2008)
Book Review of Google Version 2.0 - The Calculating PredatorJ. Chem. Inf. Model., 48
Dan Li, Chuanxiong Guo, Haitao Wu, Kun Tan, Songwu Lu (2009)
FiConn: Using Backup Port for Server Interconnection in Data CentersIEEE INFOCOM 2009
Hussam Abu-Libdeh, Paolo Costa, A. Rowstron, G. O'Shea, Austin Donnelly (2010)
Symbiotic routing in future data centers
Nathan Farrington, G. Porter, Sivasankar Radhakrishnan, H. Bazzaz, V. Subramanya, Y. Fainman, G. Papen, Amin Vahdat (2010)
Helios: a hybrid electrical/optical switch architecture for modular data centers
Kashif Bilal, S. Khan, S. Madani, K. Hayat, M. Khan, Nasro Min-Allah, J. Kolodziej, Lizhe Wang, S. Zeadally, Dan Chen (2013)
A survey on Green communications using Adaptive Link RateCluster Computing, 16
Theophilus Benson, Ashok Anand, Aditya Akella, Ming Zhang (2009)
Understanding data center traffic characteristics
C. Leiserson (1985)
Fat-trees: Universal networks for hardware-efficient supercomputingIEEE Transactions on Computers, C-34
Lizhe Wang, S. Khan (2013)
Review of performance metrics for green data centers: a taxonomy studyThe Journal of Supercomputing, 63
L. Gyarmati, T. Trinh (2010)
How can architecture help to reduce energy consumption in data center networking?
C. Hopps (2000)
Analysis of an Equal-Cost Multi-Path AlgorithmRFC, 2992
Yueping Zhang, Ao-Jan Su, Guofei Jiang (2011)
Understanding data center network architectures in virtualized environments: A view from multi-tier applicationsComput. Networks, 55
S. Khan, Lizhe Wang, L. Yang, Feng Xia (2013)
Green computing and communicationsThe Journal of Supercomputing, 63
Chuanxiong Guo, Guohan Lu, Dan Li, Haitao Wu, Xuan Zhang, Yunfeng Shi, Chen Tian, Yongguang Zhang, Songwu Lu (2009)
BCube: a high performance, server-centric network architecture for modular data centers
SUMMARY Data centers are experiencing a remarkable growth in the number of interconnected servers. Being one of the foremost data center design concerns, network infrastructure plays a pivotal role in the initial capital investment and ascertaining the performance parameters for the data center. Legacy data center network (DCN) infrastructure lacks the inherent capability to meet the data centers growth trend and aggregate bandwidth demands. Deployment of even the highest‐end enterprise network equipment only delivers around 50% of the aggregate bandwidth at the edge of network. The vital challenges faced by the legacy DCN architecture trigger the need for new DCN architectures, to accommodate the growing demands of the ‘cloud computing’ paradigm. We have implemented and simulated the state of the art DCN models in this paper, namely: (a) legacy DCN architecture, (b) switch‐based, and (c) hybrid models, and compared their effectiveness by monitoring the network: (a) throughput and (b) average packet delay. The presented analysis may be perceived as a background benchmarking study for the further research on the simulation and implementation of the DCN‐customized topologies and customized addressing protocols in the large‐scale data centers. We have performed extensive simulations under various network traffic patterns to ascertain the strengths and inadequacies of the different DCN architectures. Moreover, we provide a firm foundation for further research and enhancement in DCN architectures. Copyright © 2012 John Wiley & Sons, Ltd.
Concurrency and Computation: Practice & Experience – Wiley
Published: Aug 25, 2013
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