Distributed orchestration of pervasive services.
Mostarda, Leonardo and Marinovic, Srdjan and Dulay, Naranker (2010) Distributed orchestration of pervasive services. Proceedings: International Conference on Advanced Information Networking and Applications . pp. 166-173. ISSN 1550-445X
Full text is not in this repository.
Official URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arn...
This item is available in the Library Catalogue
Pervasive systems are increasingly being designed using a service-oriented approach where services are distributed across wireless devices of varying capabilities. Service orchestration is a simple and popular method to coordinate web-based services but introduces a single point of failure and lacks the flexibility to cope with the greater variability of pervasive environments. Choreography in contrast advocates explicitly modelling systems as interacting peers that conform to rules of interaction. Choreography offers greater reliability and flexibility but leads to systems that are much harder to validate. In this paper we describe a novel intermediate approach, where given a logically centralised service orchestration, we automatically generate a distributed implementation that correctly enforces the orchestration behaviour. Our system handles all the synchronisation and consensus issues and ensures correctness. The system also incorporates a number of abstractions for grouping pervasive peers and coordinating pervasive peer-to-peer interactions.
Conference details: Advanced Information Networking and Applications (AINA), 2010 24th IEEE International Conference. Held in Perth, 20-23rd April, 2010.
|Research Areas:||Middlesex University Schools and Centres > School of Science and Technology > Computer and Communications Engineering|
|Citations on ISI Web of Science:||0|
|Deposited On:||30 Mar 2011 12:58|
|Last Modified:||13 May 2014 15:36|
Repository staff only: item control page
Full text downloads (NB count will be zero if no full text documents are attached to the record)
Downloads per month over the past year