Theoretical Analysis of Various Software-Defined Multiplexing Codes
How to combine multiple data-streams for transmission in aggregate is a very interesting problem, especially for the emerging software-defined networks nowadays. The conventional packet-based protocols cannot provide the flexibility for combining data-streams in the ad hoc nature. If the number of d...
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| Veröffentlicht in: | IEEE/ACM transactions on networking 2019-12, Vol.27 (6), p.2444-2457 |
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| container_title | IEEE/ACM transactions on networking |
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| creator | Sun, Elaine Y.-N. Wu, Hsiao-Chun Huang, Scott C.-H. |
| description | How to combine multiple data-streams for transmission in aggregate is a very interesting problem, especially for the emerging software-defined networks nowadays. The conventional packet-based protocols cannot provide the flexibility for combining data-streams in the ad hoc nature. If the number of data-streams changes over time, the existing packet formats cannot handle the transmission of multiple data-streams effectively. The effectiveness is measured by two performance metrics, namely coding efficiency and data-transmission intermittency. We propose a new software-defined multiplexing code (SDMC) approach, which can combine (multiplex) multiple data-streams easily and is much more effective than the conventional packet-based method. Three SDMC schemes (distributed, hierarchical, and hybrid) are compared theoretically and by simulation. A trade-off between these two performance metrics can be found when one selects one of the three SDMC schemes for combining multiple data-streams. The hierarchical SDMC scheme brings about the highest coding efficiency while the hybrid SDMC scheme suffers from the smallest overall intermittency. |
| doi_str_mv | 10.1109/TNET.2019.2949823 |
| format | Article |
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The hierarchical SDMC scheme brings about the highest coding efficiency while the hybrid SDMC scheme suffers from the smallest overall intermittency.</description><subject>Business metrics</subject><subject>Central processing units</subject><subject>Coding</subject><subject>coding efficiency</subject><subject>CPUs</subject><subject>Data transmission</subject><subject>data-transmission intermittency</subject><subject>Encoding</subject><subject>Intermittency</subject><subject>Multiplexing</subject><subject>Performance measurement</subject><subject>Software</subject><subject>Software defined networking</subject><subject>Software-defined multiplexing code (SDMC)</subject><subject>software-defined network (SDN)</subject><issn>1063-6692</issn><issn>1558-2566</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kMtOwzAQRS0EEqXwAYhNJNYpYzt262UVykMqsCCwtZx4DK5CXexE0L8nVStWcxfnXo0OIZcUJpSCuqmeF9WEAVUTpgo1Y_yIjKgQs5wJKY-HDJLnUip2Ss5SWgFQDkyOSFl9YojY-ca02Xxt2m3yKQsuezfRhz5lr8F1PyZifovOr9FmT33b-U2Lv379kZXBYjonJ860CS8Od0ze7hZV-ZAvX-4fy_kyb5jiXS6MpIXAGQBIUwjLrFCullYhpY0tajblEphrqGTIpainNTZWCAlYOIuG8jG53u9uYvjuMXV6Ffo4_Jw04xyAAWdyoOieamJIKaLTm-i_TNxqCnrnSu9c6Z0rfXA1dK72HY-I__xMDZNK8j8z9mUH</recordid><startdate>201912</startdate><enddate>201912</enddate><creator>Sun, Elaine Y.-N.</creator><creator>Wu, Hsiao-Chun</creator><creator>Huang, Scott C.-H.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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| identifier | ISSN: 1063-6692 |
| ispartof | IEEE/ACM transactions on networking, 2019-12, Vol.27 (6), p.2444-2457 |
| issn | 1063-6692 1558-2566 |
| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Business metrics Central processing units Coding coding efficiency CPUs Data transmission data-transmission intermittency Encoding Intermittency Multiplexing Performance measurement Software Software defined networking Software-defined multiplexing code (SDMC) software-defined network (SDN) |
| title | Theoretical Analysis of Various Software-Defined Multiplexing Codes |
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