Abstract
This chapter presents the background and overview of the data center from the three dimensions. First, we introduce the basic concept and history of data centers, especially the evolution of data centers in the era of cloud computing, the internet of things and big data. Next, we illustrate the potential application fields of data centers, such as networked computing, networked storage, the data analysis. In the end, we summarize representative challenges of data center networking, including the functionality customization, network virtualization, the scalable network topology, traffic management, et al.
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References
Data Center [EB/OL]. [2016-01-18]. https://en.wikipedia.org/wiki/Data_center.
Ghemawat S, Gobioff H, Leung S T. The Google file system [C]. In Proc. of 19th ACM SOSP, New York, USA, 2003, 29–43.
Dean J, Ghemawat S. MapReduce: simplified data processing on large clusters [J]. Communications of the ACM, 2008, 51(1): 107–113.
Chang F, Dean J, Ghemawat S, et al. Bigtable: A distributed storage system for structured data [J]. ACM Transactions on Computer Systems (TOCS), 2008, 26(2): 4.
CCF Committee on Academic Affairs, Report on Development of Computer Science and Technology in China [M]. Beijing: Tsinghua University Press, 2009.
Juve G, Deelman E, Vahi K, et al. Scientific workflow applications on Amazon EC2.
Sempolinski P, Thain D. A Comparison and Critique of Eucalyptus, OpenNebula and Nimbus [C]. In Proc. of 2nd IEEE CloudCom, Indianapolis, USA, 2010: 417–426.
Nurmi D, Wolski R, Grzegorczyk C, et al. The Eucalyptus Open-Source Cloud-Computing System [J]. Cloud Computing & Its Applications, 2009: 124–131.
Sotomayor B, Keahey K, Foster I. Combining batch execution and leasing using virtual machines [C]. In Proc. of 17th ACM HPDC, Boston, USA, 2008: 87–96.
Krishnan S P T, Gonzalez J L U. Building Your Next Big Thing with Google Cloud Platform [M]. Apress, 2015.
Chappell D. Introducing the windows azure platform [J]. David Chappell & Associates White Paper, 2010.
Liu Y. Introduction to the Internet of Things [M]. Beijing: Science Press, 2010.
[EB/OL]. [2016-01-18]. https://cloud.google.com/why-google/#support.
[EB/OL]. [2016-01-18]. https://aws.amazon.com/cn/.
Shvachko K, Kuang H, Radia S, et al. The Hadoop Distributed File System [C]. In Proc. of 26th IEEE MSST, Nevada, USA, 2010: 1–10.
Jin H, Lbrahim S, Bell T, Qi L, et al. Tools and Technologies for Building Clouds [J]. Computer Communications & Networks, 2010: 3–20.
Grossman R, Gu Y. Data mining using high performance data clouds: experimental studies using sector and sphere [C]. In Proc. of 14th ACM SIGKDD, Las Vegas, USA, 2008: 920–927.
Isard M, Budiu M, Yu Y et al., Dryad: distributed data-parallel programs from sequential building blocks [C]. In Proc. of 23th ACM SOSP, WA, USA, 2007, 41(3): 59–72.
Peng D, Dabek F. Large-scale Incremental Processing Using Distributed Transactions and Notifications [C]. In Proc. of 11th Usenix OSDI, Vancouver, Canada, 2010: 4–6.
Malewicz G, Austern M, Bik A, et al., Pregel: A System for Large-scale Graph Processing [C]. In Proc. of ACM SIGMOD, Indianapolis, USA, 2010: 135–146.
Melnik S, Gubarey A, Long J, et al. Dremel: Interactive Analysis of Web-scale Datasets [J]. Comunications of the ACM, 2011, 54(6): 114–123.
Yu Y, Isard M, Fetterly D, et al. DryadLINQ: A System for General-purpose Distributed Data-parallel Computing Using a High-level Language [C]. In Proc. of 9th Usenix OSDI, San Diego, USA, 2008: 1–14.
Zaharia M, Chowdhury M, Franklin M J, et al. Spark: Cluster Computing with Working Sets [J]. HotCloud, 2010, 15(1):1765–1773.
Low Y, Gonzalez J, Kyrola A, et al. GraphLab: A New Framework for Parallel Machine Learning [J]. Eprint Arxiv, 2014.
Toshniwal A, Taneja S, Shukla A, et al. Storm@twitter [C]. In Proc. of ACM SIGMOD, Snowbird, USA, 2014: 147–156.
Buck J, Watkins N, Lefevre J. SciHadoop: Array-based Query Processing in Hadoop [C]. In Proc. of 25th ACM SC, Seattle, USA: ACM, 2011: 1–11.
Wang F, Lee R, Liu Q, et al. Hadoop-gis: A High Performance Query System for Analytical Medical Imaging with MapReduce. Technical report, Emory University, Aug 2011.
Xie J, Guo D, Hu Z, et al. Control Plane of Software-defined Networks: A Survey [J]. Computer Communications, 2015, 67: 1–10.
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Guo, D. (2022). Introduction of Data Center. In: Data Center Networking. Springer, Singapore. https://doi.org/10.1007/978-981-16-9368-7_1
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DOI: https://doi.org/10.1007/978-981-16-9368-7_1
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