Scalable Service Discovery for MANET

Sailhan, Françoise; Issarny, Valérie

doi:10.1109/percom.2005.36

Cited by 168 publications

(105 citation statements)

References 13 publications

Supporting

Mentioning

104

Contrasting

Order By: Relevance

“…Several other approaches have also been proposed, specific to the considered applications, including intermediate caching [28], reflectors' deployment [29], online version [30], placement based on mobility [31], content distribution [32], replication in overlays [33], service discovery in mobile ad hoc networks [34], gateway placement [35], sensor networks [36], [37], replica placement updates [39], distributed shared platform [38].…”

Section: Related Workmentioning

confidence: 99%

Scalable service migration in autonomic network environments

Οικονόμου

Stavrakakis

2010

IEEE J. Select. Areas Commun.

View full text Add to dashboard Cite

Abstract-Service placement is a key problem in communication networks as it determines how efficiently the user service demands are supported. This problem has been traditionally approached through the formulation and resolution of large optimization problems requiring global knowledge and a continuous recalculation of the solution in case of network changes. Such approaches are not suitable for large-scale and dynamic network environments. In this paper, the problem of determining the optimal location of a service facility is revisited and addressed in a way that is both scalable and deals inherently with network dynamicity. In particular, service migration which enables service facilities to move between neighbor nodes towards more communication cost-effective positions, is based on local information. The migration policies proposed in this work are analytically shown to be capable of moving a service facility between neighbor nodes in a way that the cost of service provision is reduced and -under certain conditions -the service facility reaches the optimal (cost minimizing) location, and locks in there as long as the environment does not change; as network conditions change, the migration process is automatically resumed, thus, naturally responding to network dynamicity under certain conditions. The analytical findings of this work are also supported by simulation results that shed some additional light on the behavior and effectiveness of the proposed policies.

show abstract

Section: Related Workmentioning

confidence: 99%

Scalable service migration in autonomic network environments

Οικονόμου

Stavrakakis

2010

IEEE J. Select. Areas Commun.

View full text Add to dashboard Cite

show abstract

“…Recent papers have addressed the problem of enabling P2P resource sharing in mobile ad hoc networks (MANETs) [5,8,11,13,16]. A standard technique used to improve performance of P2P algorithms when used in wireless networks is cross-layering, i.e., taking advantage of information delivered from lower layer protocols (typically, the network layer) when constructing the logical links between peers.…”

Section: Related Work and Contributionmentioning

confidence: 99%

Evaluating load balancing in peer-to-peer resource sharing algorithms for wireless mesh networks

Canali

Renda

Santi

2008

2008 5th IEEE International Conference on Mobile Ad Hoc and Sensor Systems

View full text Add to dashboard Cite

“…Typically, MSDA Transformers can be specified for interacting with a certain category of services (e.g., supplied by the same manufacturer) or for supporting a certain context interface (e.g., using a specific ontology). The benefit of using MSDA Transformers is that they allow for the flexible integration of alternative methods for collecting service context information; as MSDA_Bridge 12 …”

Section: Context Managementmentioning

confidence: 99%

“…MSDA components communicate over multicast (context information and service discovery) and unicast (service access) sockets. The prototype integrates multiple SD protocols to experiment with both pull-based (e.g., Ariadne [12]) and push-based (e.g., SLP [7], UPnP [13]) protocols.…”

Section: Implementation and Evaluationmentioning

confidence: 99%