Achieving QoS for TCP traffic in satellite networks with differentiated services

  • Authors:

  • Arjan Durresi;Sastri Kota;Mukul Goyal;Raj Jain;Venkata Bharani

  • Affiliations:

  • (Correspd.) Department of Computer and Information Science, The Ohio State University, 2015 Neil Ave, Columbus, OH 43210-1277, USA Tel.: +1 614 688 5610/ Fax: +1 614 292 2911/ E-mail: {durresi, mu ...;Lockheed Martin, 60 East Tasman Avenue, MS: C2135, San José/, CA 95134, USA Tel.: +1 408 456 6300/473 5782/ E-mail: sastri.kota@lmco.com;Department of Computer and Information Science, The Ohio State University, 2015 Neil Ave, Columbus, OH 43210-1277, USA Tel.: +1 614 688 5610/ Fax: +1 614 292 2911/ E-mail: {durresi, mukul, bharani ...;Nayna Networks, Inc., 157 Topaz St., Milpitas, CA 95035, USA Tel.: +1 408 956 8000, ext. 309/ Fax: +1 408 956 8730/ E-mail: raj@nayna.com;Department of Computer and Information Science, The Ohio State University, 2015 Neil Ave, Columbus, OH 43210-1277, USA Tel.: +1 614 688 5610/ Fax: +1 614 292 2911/ E-mail: {durresi, mukul, bharani ...

  • Venue:
  • Space Communications
  • Year:
  • 2001

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Abstract

Satellite networks play an indispensable role in providing global Internet access and electronic connectivity. To achieve such global communications, provisioning of quality of service (QoS) within the advanced satellite systems is the main requirement. One of the key mechanisms of implementing the quality of service is traffic management. Traffic management becomes a crucial factor in the case of satellite network because of the limited availability of their resources. Currently, Internet Protocol (IP) only has minimal traffic management capabilities and provides best effort services. In this paper, we presented a broadband satellite network QoS model and simulated performance results. In particular, we discussed the TCP flow aggregates performance for their good behavior in the presence of competing UDP flow aggregates in the same assured forwarding. We identified several factors that affect the performance in the mixed environments and quantified their effects using a full factorial design of experiment methodology.