PortLand
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- Radhika Niranjan Mysore
- University of California San Diego, San Diego, USA
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- Andreas Pamboris
- University of California San Diego, San Diego, USA
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- Nathan Farrington
- University of California San Diego, San Diego, USA
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- Nelson Huang
- University of California San Diego, San Diego, USA
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- Pardis Miri
- University of California San Diego, San Diego, USA
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- Sivasankar Radhakrishnan
- University of California San Diego, San Diego, USA
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- Vikram Subramanya
- University of California San Diego, San Diego, USA
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- Amin Vahdat
- University of California San Diego, San Diego, USA
Bibliographic Information
- Other Title
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- a scalable fault-tolerant layer 2 data center network fabric
Description
<jats:p>This paper considers the requirements for a scalable, easily manageable, fault-tolerant, and efficient data center network fabric. Trends in multi-core processors, end-host virtualization, and commodities of scale are pointing to future single-site data centers with millions of virtual end points. Existing layer 2 and layer 3 network protocols face some combination of limitations in such a setting: lack of scalability, difficult management, inflexible communication, or limited support for virtual machine migration. To some extent, these limitations may be inherent for Ethernet/IP style protocols when trying to support arbitrary topologies. We observe that data center networks are often managed as a single logical network fabric with a known baseline topology and growth model. We leverage this observation in the design and implementation of PortLand, a scalable, fault tolerant layer 2 routing and forwarding protocol for data center environments. Through our implementation and evaluation, we show that PortLand holds promise for supporting a ``plug-and-play" large-scale, data center network.</jats:p>
Journal
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- ACM SIGCOMM Computer Communication Review
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ACM SIGCOMM Computer Communication Review 39 (4), 39-50, 2009-08-16
Association for Computing Machinery (ACM)
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Details 詳細情報について
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- CRID
- 1364233268760011904
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- ISSN
- 01464833
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- Data Source
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- Crossref