2nd International IEEE Conference on Communication System Software and Middleware

Research Article

PASTA: Deriving Rich Presence for Converged Telecommunications Network Applications

  • @INPROCEEDINGS{10.1109/COMSWA.2007.382590,
        author={Eran  Belinsky and Natalia Marmasse and Eyal Sonsino and Vladimir  Soroka and Maria  Ebling and William  Jerome and Archan Misra and Daby  Sow and Sune  Jakobsson},
        title={PASTA: Deriving Rich Presence for Converged Telecommunications Network Applications},
        proceedings={2nd International IEEE Conference on Communication System Software and Middleware},
        publisher={IEEE},
        proceedings_a={COMSWARE},
        year={2007},
        month={7},
        keywords={converged networks  correlation  learning  presence  telecommunications provider},
        doi={10.1109/COMSWA.2007.382590}
    }
    
  • Eran Belinsky
    Natalia Marmasse
    Eyal Sonsino
    Vladimir Soroka
    Maria Ebling
    William Jerome
    Archan Misra
    Daby Sow
    Sune Jakobsson
    Year: 2007
    PASTA: Deriving Rich Presence for Converged Telecommunications Network Applications
    COMSWARE
    IEEE
    DOI: 10.1109/COMSWA.2007.382590
Eran Belinsky1,*, Natalia Marmasse1,*, Eyal Sonsino1,*, Vladimir Soroka1,*, Maria Ebling2,*, William Jerome2,*, Archan Misra2,*, Daby Sow2,*, Sune Jakobsson3,*
  • 1: IBM Haifa Labs, Haifa, Israel
  • 2: IBM T J Watson Research Center, Hawthorne, USA
  • 3: Telenor Research and Innovation Labs Trondheim, Norway
*Contact email: eranbe@us.ibm.com, nmarmasg@gmail.com, sonsino@us.ibm.com, vladi@us.ibm.com, ebling@us.ibm.com, wfj@us.ibm.com, archan@us.ibm.com, sowdaby@us.ibm.com, sune.jakobssong@telenor.com

Abstract

Presence has rapidly evolved from its roots in instant messaging status to become a standard event mechanism for aggregating context about individuals, devices and abstract entities (such as meetings, activities and location coordinates). Scalable tracking and dissemination of presence attributes, across multiple communication channels, is a critical requirement for future IMS-based converged network architectures. This paper presents PASTA (presence advanced services for Telco applications), an enhancement to a presence server that employs scalable, rule-based event correlation middleware and machine-learning engines, to automatically derive higher-level, "semantically richer" presence information about individual or multiple presentities. By augmenting the event store of the presence server with such "rich presence", PASTA enables applications and users to subscribe to presence notifications at higher-levels of abstraction. Such abstractions could significantly reduce the volume of network traffic resulting from low-level presence updates, but also promote privacy preferences by permitting presentities to control the exposure of raw presence information. We describe the design, implementation and performance analysis of PASTA and discuss open future issues associated with "rich presence".