A Scalable Service Discovery Framework with Load Sharing Capabilities

نویسندگان

  • Manuel Urueña
  • David Larrabeiti
  • Pablo Serrano
چکیده

In order to ease mobility, users should be able to access available services and resources of the local network without manually reconfigure its terminal at each visited network. Therefore, some kind of automatic mechanism is needed to dynamically locate the best available services from any network. The eXtensible Service Discovery Framework (XSDF) is a novel solution to this problem. XSDF is an evolution of the Service Location Protocol (SLP) architecture, that also integrates the load balancing and high-availability capabilities from the Reliable Server Pooling (Rserpool) framework in order to bridge together scalable service discovery with extensible load sharing selection policies. This paper provides a brief overview of XSDF, and compares it against SLPv2 (including its Attribute List Extension) employing several simulations in different scenarios.

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تاریخ انتشار 2004