Enabling Scalable Publish/Subscribe for Logical-Clustering in Crowdsourcing via MediaSense
2014 (English)In: Science and Information (SAI) Conference, IEEE conference proceedings, 2014, 64-71 p.Conference paper (Refereed)
Crowdsourcing was initially devised as a method for solving problems through soliciting contributions from a large online community. Crowdsourcing is facing new challenges to handle the increase of information in real-time from a vast number of sources in Internet-of-Things (IoT) scenarios. Thus we seek to leverage the power of social web, smart-devices, sensors, etc., fusing these heterogeneous sources into distributed context information in order to enable novel crowdsourcing scenarios. This mandates research in efficient management of heterogeneous and distributed context information through logical-clustering. Logical-clustering can efficiently filter out similar context information obtained from distributed sources based on context similarity. However, the efficiency of logical-clustering is challenged by the distribution of context information in crowdsourcing scenarios. Publish/Subscribe mechanism can counter this challenge. To this end, we propose a scalable publish/subscribe model, MediaSense, which is based on p2p technologies. This paper presents our approach to a scalable logical-clustering concept. The evaluation of our approach applied to MediaSense can achieve a rate of approximately 3530 messages/sec for publish/subscribe events. Moreover, this approach further achieves 99% increase for subscription matching and 163% improvement in memory requirements in comparison with other approaches.
Place, publisher, year, edition, pages
IEEE conference proceedings, 2014. 64-71 p.
crowdsourcing; pervasive computing; context information; logical-clustering; Publish/Subscribe; MediaSense
Research subject Computer and Systems Sciences
IdentifiersURN: urn:nbn:se:su:diva-110981DOI: 10.1109/SAI.2014.6918173ISBN: 978-0-9893-1933-1OAI: oai:DiVA.org:su-110981DiVA: diva2:773755
Science and Information Conference 2014 August 27-29, 2014 | London, UK