Proceedings of the Eighth IEEE Symposium on Computers and Communications. ISCC 2003
DOI: 10.1109/iscc.2003.1214274
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AGAPE: a location-aware group membership middleware for pervasive computing environments

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Cited by 11 publications
(4 citation statements)
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“…Traditional membership algorithms assume that devices are connected by reliable networks and that disconnections are rare, and therefore are not designed to support group management in pervasive environments [14]. Indeed, most membership specifications strongly rely on the Consensus operation, which requires not only a majority of correct nodes but also that they remain connected as long as the agreement has not been reached.…”
Section: Group Membership On Pervasive Systemmentioning
confidence: 99%
“…Traditional membership algorithms assume that devices are connected by reliable networks and that disconnections are rare, and therefore are not designed to support group management in pervasive environments [14]. Indeed, most membership specifications strongly rely on the Consensus operation, which requires not only a majority of correct nodes but also that they remain connected as long as the agreement has not been reached.…”
Section: Group Membership On Pervasive Systemmentioning
confidence: 99%
“…In [7] clusters are formed ad hoc to accommodate emergency situations. In [8] the authors have applied their location-aware group membership middleware in an ecare scenario where cluster heads are responsible to send user information to the new groups the user joins while he is on the move. In medical environments, location awareness can help in tracking the nearest specialist to the location of the patient.…”
Section: Mechanismsmentioning
confidence: 99%
“…However, traditional membership algorithms are not designed to support group management in pervasive environments [1], as they usually assume that devices are connected by reliable networks and that disconnections are rare. To minimize the impact of program-controlled crash on a pervasive environment that is prone to frequent disconnections, we advocate the use a membership in two levels: suspected nodes are initially put into "quarantine", removing them from the token list but not from the group.…”
Section: Failure Handlingmentioning
confidence: 99%