Enhancing Service Location Protocol for efficiency, scalability and advanced discovery

Abstract

This paper presents three new mechanisms for the Service Location Protocol (SLP): mesh enhancement, preference filters and global attributes. The mesh enhancement simplifies Service Agent (SA) registrations and improves consistency among Directory Agents (DAs) by defining an interaction scheme for DAs and supporting automatic registration distribution among peer DAs. Preference filters facilitate processing of search results (e.g., finding the best match) in SLP servers (DAs and SAs) to reduce the amount of data transferred to the client for saving network bandwidth. Global attributes allow using a single query to search services across multiple types. These mechanisms can improve SLP efficiency and scalability and support advanced discovery such as discovering multi-access-point services and multi-function devices. We expect that these techniques can also be applied to other service discovery systems.

A Matchmaking Algorithm for Resource Discovery in Multi-user Settings

“…Several works have been developed to discover network services, such as Service Discovery Protocols (SDP) [5] that target on providing services to applications. These works constitute first attempts to ease the process for determining available resources which could remain underexploited if users do not acknowledge their existence.…”

“…It adopts a publish/subscribe approach to work over a traditional Service Discovery Protocol [5]. To publish a resource or initiate a search, a service provider or a user requesting a service supplies: 1) basic and semantic information about the resource being published or looked for, 2) a pointer to their context source, which handles a set of sensors providing current information about the service or the requester, and 3) their requirements, which are expressed either in terms of the user and the environment for a service being published, or in terms of the environment and the service, in case of a request.…”

A k-median facility location agent for low-cost service selection in digital community network

“…The community administrators are facing a problem of how to obtain an overall service selection result for the whole community readily and effectively. Several notable works [16][17][18] have focused on adopting the service location protocol (SLP) [19] to choose a suitable service. SLP the DCN are shown in Table I. For simplicity, the CA and SP merely contain one identifi cation property, namely ca_id and sp_id, respectively.…”

Ontology-Based Resource Discovery in Pervasive Collaborative Environments

“…One of the pioneers of service discovery is the Service Location Protocol (SLP) [13], which was developed by IETF in order to prevent users (which take the form of applications) from having to know the specific network location of the required services. SLP is composed of three agents: user, service and directory.…”